Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- checkpoint-10000/config.json +64 -0
- checkpoint-10000/experiment_cfg/metadata.json +195 -0
- checkpoint-10000/model-00001-of-00002.safetensors +3 -0
- checkpoint-10000/model-00002-of-00002.safetensors +3 -0
- checkpoint-10000/model.safetensors.index.json +0 -0
- checkpoint-10000/optimizer.pt +3 -0
- checkpoint-10000/rng_state.pth +3 -0
- checkpoint-10000/scheduler.pt +3 -0
- checkpoint-10000/trainer_state.json +0 -0
- checkpoint-4000/config.json +64 -0
- checkpoint-4000/experiment_cfg/metadata.json +195 -0
- checkpoint-4000/model-00001-of-00002.safetensors +3 -0
- checkpoint-4000/model-00002-of-00002.safetensors +3 -0
- checkpoint-4000/model.safetensors.index.json +0 -0
- checkpoint-4000/optimizer.pt +3 -0
- checkpoint-4000/rng_state.pth +3 -0
- checkpoint-4000/scheduler.pt +3 -0
- checkpoint-4000/trainer_state.json +2834 -0
- checkpoint-5000/config.json +64 -0
- checkpoint-5000/experiment_cfg/metadata.json +195 -0
- checkpoint-5000/model-00001-of-00002.safetensors +3 -0
- checkpoint-5000/model-00002-of-00002.safetensors +3 -0
- checkpoint-5000/model.safetensors.index.json +0 -0
- checkpoint-5000/optimizer.pt +3 -0
- checkpoint-5000/rng_state.pth +3 -0
- checkpoint-5000/scheduler.pt +3 -0
- checkpoint-5000/trainer_state.json +3534 -0
- checkpoint-6000/config.json +64 -0
- checkpoint-6000/experiment_cfg/metadata.json +195 -0
- checkpoint-6000/model-00001-of-00002.safetensors +3 -0
- checkpoint-6000/model-00002-of-00002.safetensors +3 -0
- checkpoint-6000/model.safetensors.index.json +0 -0
- checkpoint-6000/optimizer.pt +3 -0
- checkpoint-6000/rng_state.pth +3 -0
- checkpoint-6000/scheduler.pt +3 -0
- checkpoint-6000/trainer_state.json +0 -0
- checkpoint-7000/config.json +64 -0
- checkpoint-7000/experiment_cfg/metadata.json +195 -0
- checkpoint-7000/model-00001-of-00002.safetensors +3 -0
- checkpoint-7000/model-00002-of-00002.safetensors +3 -0
- checkpoint-7000/model.safetensors.index.json +0 -0
- checkpoint-7000/optimizer.pt +3 -0
- checkpoint-7000/rng_state.pth +3 -0
- checkpoint-7000/scheduler.pt +3 -0
- checkpoint-7000/trainer_state.json +0 -0
- checkpoint-8000/config.json +64 -0
- checkpoint-8000/experiment_cfg/metadata.json +195 -0
- checkpoint-8000/model-00001-of-00002.safetensors +3 -0
- checkpoint-8000/model-00002-of-00002.safetensors +3 -0
- checkpoint-8000/model.safetensors.index.json +0 -0
checkpoint-10000/config.json
ADDED
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"action_dim": 32,
|
3 |
+
"action_head_cfg": {
|
4 |
+
"action_dim": 32,
|
5 |
+
"action_horizon": 16,
|
6 |
+
"add_pos_embed": true,
|
7 |
+
"backbone_embedding_dim": 2048,
|
8 |
+
"diffusion_model_cfg": {
|
9 |
+
"attention_head_dim": 48,
|
10 |
+
"cross_attention_dim": 2048,
|
11 |
+
"dropout": 0.2,
|
12 |
+
"final_dropout": true,
|
13 |
+
"interleave_self_attention": true,
|
14 |
+
"norm_type": "ada_norm",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_layers": 16,
|
17 |
+
"output_dim": 1024,
|
18 |
+
"positional_embeddings": null
|
19 |
+
},
|
20 |
+
"hidden_size": 1024,
|
21 |
+
"input_embedding_dim": 1536,
|
22 |
+
"max_action_dim": 32,
|
23 |
+
"max_state_dim": 64,
|
24 |
+
"model_dtype": "float32",
|
25 |
+
"noise_beta_alpha": 1.5,
|
26 |
+
"noise_beta_beta": 1.0,
|
27 |
+
"noise_s": 0.999,
|
28 |
+
"num_inference_timesteps": 4,
|
29 |
+
"num_target_vision_tokens": 32,
|
30 |
+
"num_timestep_buckets": 1000,
|
31 |
+
"tune_diffusion_model": true,
|
32 |
+
"tune_projector": true,
|
33 |
+
"use_vlln": true,
|
34 |
+
"vl_self_attention_cfg": {
|
35 |
+
"attention_head_dim": 64,
|
36 |
+
"dropout": 0.2,
|
37 |
+
"final_dropout": true,
|
38 |
+
"num_attention_heads": 32,
|
39 |
+
"num_layers": 4,
|
40 |
+
"positional_embeddings": null
|
41 |
+
}
|
42 |
+
},
|
43 |
+
"action_horizon": 16,
|
44 |
+
"architectures": [
|
45 |
+
"GR00T_N1_5"
|
46 |
+
],
|
47 |
+
"attn_implementation": null,
|
48 |
+
"backbone_cfg": {
|
49 |
+
"eagle_path": "NVEagle/eagle_er-qwen3_1_7B-Siglip2_400M_stage1_5_128gpu_er_v7_1mlp_nops",
|
50 |
+
"load_bf16": false,
|
51 |
+
"project_to_dim": null,
|
52 |
+
"reproject_vision": false,
|
53 |
+
"select_layer": 12,
|
54 |
+
"tune_llm": false,
|
55 |
+
"tune_visual": true,
|
56 |
+
"use_flash_attention": true
|
57 |
+
},
|
58 |
+
"compute_dtype": "bfloat16",
|
59 |
+
"hidden_size": 2048,
|
60 |
+
"model_dtype": "float32",
|
61 |
+
"model_type": "gr00t_n1_5",
|
62 |
+
"torch_dtype": "bfloat16",
|
63 |
+
"transformers_version": "4.51.3"
|
64 |
+
}
|
checkpoint-10000/experiment_cfg/metadata.json
ADDED
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"new_embodiment": {
|
3 |
+
"statistics": {
|
4 |
+
"state": {
|
5 |
+
"single_arm": {
|
6 |
+
"max": [
|
7 |
+
33.22265625,
|
8 |
+
86.1328125,
|
9 |
+
84.7265625,
|
10 |
+
101.337890625,
|
11 |
+
32.783203125
|
12 |
+
],
|
13 |
+
"min": [
|
14 |
+
-87.275390625,
|
15 |
+
-103.974609375,
|
16 |
+
-106.435546875,
|
17 |
+
-16.34765625,
|
18 |
+
-170.068359375
|
19 |
+
],
|
20 |
+
"mean": [
|
21 |
+
-26.84341812133789,
|
22 |
+
6.497307777404785,
|
23 |
+
-22.14896583557129,
|
24 |
+
74.85757446289062,
|
25 |
+
-111.02351379394531
|
26 |
+
],
|
27 |
+
"std": [
|
28 |
+
27.50257110595703,
|
29 |
+
41.151065826416016,
|
30 |
+
48.41417694091797,
|
31 |
+
20.208982467651367,
|
32 |
+
46.13625717163086
|
33 |
+
],
|
34 |
+
"q01": [
|
35 |
+
-79.013671875,
|
36 |
+
-103.271484375,
|
37 |
+
-104.0625,
|
38 |
+
19.187402343750005,
|
39 |
+
-169.892578125
|
40 |
+
],
|
41 |
+
"q99": [
|
42 |
+
24.169921875,
|
43 |
+
73.30078125,
|
44 |
+
84.375,
|
45 |
+
101.07421875,
|
46 |
+
11.162109375
|
47 |
+
]
|
48 |
+
},
|
49 |
+
"gripper": {
|
50 |
+
"max": [
|
51 |
+
92.373046875
|
52 |
+
],
|
53 |
+
"min": [
|
54 |
+
-0.615234375
|
55 |
+
],
|
56 |
+
"mean": [
|
57 |
+
14.521344184875488
|
58 |
+
],
|
59 |
+
"std": [
|
60 |
+
13.066176414489746
|
61 |
+
],
|
62 |
+
"q01": [
|
63 |
+
0.0
|
64 |
+
],
|
65 |
+
"q99": [
|
66 |
+
52.470703125
|
67 |
+
]
|
68 |
+
}
|
69 |
+
},
|
70 |
+
"action": {
|
71 |
+
"single_arm": {
|
72 |
+
"max": [
|
73 |
+
33.662109375,
|
74 |
+
86.484375,
|
75 |
+
85.078125,
|
76 |
+
102.65625,
|
77 |
+
33.3984375
|
78 |
+
],
|
79 |
+
"min": [
|
80 |
+
-87.890625,
|
81 |
+
-104.4140625,
|
82 |
+
-110.7421875,
|
83 |
+
-19.599609375,
|
84 |
+
-173.3203125
|
85 |
+
],
|
86 |
+
"mean": [
|
87 |
+
-26.84657096862793,
|
88 |
+
4.594353199005127,
|
89 |
+
-23.747364044189453,
|
90 |
+
74.75859832763672,
|
91 |
+
-111.30194854736328
|
92 |
+
],
|
93 |
+
"std": [
|
94 |
+
27.627857208251953,
|
95 |
+
40.672019958496094,
|
96 |
+
48.966896057128906,
|
97 |
+
20.728727340698242,
|
98 |
+
46.57689666748047
|
99 |
+
],
|
100 |
+
"q01": [
|
101 |
+
-79.453125,
|
102 |
+
-102.744140625,
|
103 |
+
-109.6875,
|
104 |
+
17.9296875,
|
105 |
+
-172.177734375
|
106 |
+
],
|
107 |
+
"q99": [
|
108 |
+
24.08203125,
|
109 |
+
72.685546875,
|
110 |
+
83.84765625,
|
111 |
+
101.77734375,
|
112 |
+
10.72265625
|
113 |
+
]
|
114 |
+
},
|
115 |
+
"gripper": {
|
116 |
+
"max": [
|
117 |
+
92.63671875
|
118 |
+
],
|
119 |
+
"min": [
|
120 |
+
-3.076171875
|
121 |
+
],
|
122 |
+
"mean": [
|
123 |
+
12.46182632446289
|
124 |
+
],
|
125 |
+
"std": [
|
126 |
+
14.029601097106934
|
127 |
+
],
|
128 |
+
"q01": [
|
129 |
+
-0.52734375
|
130 |
+
],
|
131 |
+
"q99": [
|
132 |
+
52.91015625
|
133 |
+
]
|
134 |
+
}
|
135 |
+
}
|
136 |
+
},
|
137 |
+
"modalities": {
|
138 |
+
"video": {
|
139 |
+
"front": {
|
140 |
+
"resolution": [
|
141 |
+
640,
|
142 |
+
480
|
143 |
+
],
|
144 |
+
"channels": 3,
|
145 |
+
"fps": 30.0
|
146 |
+
},
|
147 |
+
"laptop": {
|
148 |
+
"resolution": [
|
149 |
+
640,
|
150 |
+
480
|
151 |
+
],
|
152 |
+
"channels": 3,
|
153 |
+
"fps": 30.0
|
154 |
+
}
|
155 |
+
},
|
156 |
+
"state": {
|
157 |
+
"single_arm": {
|
158 |
+
"absolute": true,
|
159 |
+
"rotation_type": null,
|
160 |
+
"shape": [
|
161 |
+
5
|
162 |
+
],
|
163 |
+
"continuous": true
|
164 |
+
},
|
165 |
+
"gripper": {
|
166 |
+
"absolute": true,
|
167 |
+
"rotation_type": null,
|
168 |
+
"shape": [
|
169 |
+
1
|
170 |
+
],
|
171 |
+
"continuous": true
|
172 |
+
}
|
173 |
+
},
|
174 |
+
"action": {
|
175 |
+
"single_arm": {
|
176 |
+
"absolute": true,
|
177 |
+
"rotation_type": null,
|
178 |
+
"shape": [
|
179 |
+
5
|
180 |
+
],
|
181 |
+
"continuous": true
|
182 |
+
},
|
183 |
+
"gripper": {
|
184 |
+
"absolute": true,
|
185 |
+
"rotation_type": null,
|
186 |
+
"shape": [
|
187 |
+
1
|
188 |
+
],
|
189 |
+
"continuous": true
|
190 |
+
}
|
191 |
+
}
|
192 |
+
},
|
193 |
+
"embodiment_tag": "new_embodiment"
|
194 |
+
}
|
195 |
+
}
|
checkpoint-10000/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0e65895a7b6c052e58b679bdd68bff54a68694a81f38e23d3e03a92059b3600b
|
3 |
+
size 4999367032
|
checkpoint-10000/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:595f7bca8c51123b14908af4b1eac93a96d52a59a6b0fe7d8bae323aa957c147
|
3 |
+
size 2586705312
|
checkpoint-10000/model.safetensors.index.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-10000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:da86f5adf2d73c513c74e0a03ac6ef1580f785e88602acbe8e24e4c6d9e311d3
|
3 |
+
size 4147424698
|
checkpoint-10000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:19496a2c7f714f9d36473c01b7fd34ce69b238124e9968608454712b8e5755ba
|
3 |
+
size 14244
|
checkpoint-10000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:07356cb668b8efc440ddb2f7f81f7da3152060e81d0229922fa3b30df3313f82
|
3 |
+
size 1064
|
checkpoint-10000/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-4000/config.json
ADDED
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"action_dim": 32,
|
3 |
+
"action_head_cfg": {
|
4 |
+
"action_dim": 32,
|
5 |
+
"action_horizon": 16,
|
6 |
+
"add_pos_embed": true,
|
7 |
+
"backbone_embedding_dim": 2048,
|
8 |
+
"diffusion_model_cfg": {
|
9 |
+
"attention_head_dim": 48,
|
10 |
+
"cross_attention_dim": 2048,
|
11 |
+
"dropout": 0.2,
|
12 |
+
"final_dropout": true,
|
13 |
+
"interleave_self_attention": true,
|
14 |
+
"norm_type": "ada_norm",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_layers": 16,
|
17 |
+
"output_dim": 1024,
|
18 |
+
"positional_embeddings": null
|
19 |
+
},
|
20 |
+
"hidden_size": 1024,
|
21 |
+
"input_embedding_dim": 1536,
|
22 |
+
"max_action_dim": 32,
|
23 |
+
"max_state_dim": 64,
|
24 |
+
"model_dtype": "float32",
|
25 |
+
"noise_beta_alpha": 1.5,
|
26 |
+
"noise_beta_beta": 1.0,
|
27 |
+
"noise_s": 0.999,
|
28 |
+
"num_inference_timesteps": 4,
|
29 |
+
"num_target_vision_tokens": 32,
|
30 |
+
"num_timestep_buckets": 1000,
|
31 |
+
"tune_diffusion_model": true,
|
32 |
+
"tune_projector": true,
|
33 |
+
"use_vlln": true,
|
34 |
+
"vl_self_attention_cfg": {
|
35 |
+
"attention_head_dim": 64,
|
36 |
+
"dropout": 0.2,
|
37 |
+
"final_dropout": true,
|
38 |
+
"num_attention_heads": 32,
|
39 |
+
"num_layers": 4,
|
40 |
+
"positional_embeddings": null
|
41 |
+
}
|
42 |
+
},
|
43 |
+
"action_horizon": 16,
|
44 |
+
"architectures": [
|
45 |
+
"GR00T_N1_5"
|
46 |
+
],
|
47 |
+
"attn_implementation": null,
|
48 |
+
"backbone_cfg": {
|
49 |
+
"eagle_path": "NVEagle/eagle_er-qwen3_1_7B-Siglip2_400M_stage1_5_128gpu_er_v7_1mlp_nops",
|
50 |
+
"load_bf16": false,
|
51 |
+
"project_to_dim": null,
|
52 |
+
"reproject_vision": false,
|
53 |
+
"select_layer": 12,
|
54 |
+
"tune_llm": false,
|
55 |
+
"tune_visual": true,
|
56 |
+
"use_flash_attention": true
|
57 |
+
},
|
58 |
+
"compute_dtype": "bfloat16",
|
59 |
+
"hidden_size": 2048,
|
60 |
+
"model_dtype": "float32",
|
61 |
+
"model_type": "gr00t_n1_5",
|
62 |
+
"torch_dtype": "bfloat16",
|
63 |
+
"transformers_version": "4.51.3"
|
64 |
+
}
|
checkpoint-4000/experiment_cfg/metadata.json
ADDED
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"new_embodiment": {
|
3 |
+
"statistics": {
|
4 |
+
"state": {
|
5 |
+
"single_arm": {
|
6 |
+
"max": [
|
7 |
+
33.22265625,
|
8 |
+
86.1328125,
|
9 |
+
84.7265625,
|
10 |
+
101.337890625,
|
11 |
+
32.783203125
|
12 |
+
],
|
13 |
+
"min": [
|
14 |
+
-87.275390625,
|
15 |
+
-103.974609375,
|
16 |
+
-106.435546875,
|
17 |
+
-16.34765625,
|
18 |
+
-170.068359375
|
19 |
+
],
|
20 |
+
"mean": [
|
21 |
+
-26.84341812133789,
|
22 |
+
6.497307777404785,
|
23 |
+
-22.14896583557129,
|
24 |
+
74.85757446289062,
|
25 |
+
-111.02351379394531
|
26 |
+
],
|
27 |
+
"std": [
|
28 |
+
27.50257110595703,
|
29 |
+
41.151065826416016,
|
30 |
+
48.41417694091797,
|
31 |
+
20.208982467651367,
|
32 |
+
46.13625717163086
|
33 |
+
],
|
34 |
+
"q01": [
|
35 |
+
-79.013671875,
|
36 |
+
-103.271484375,
|
37 |
+
-104.0625,
|
38 |
+
19.187402343750005,
|
39 |
+
-169.892578125
|
40 |
+
],
|
41 |
+
"q99": [
|
42 |
+
24.169921875,
|
43 |
+
73.30078125,
|
44 |
+
84.375,
|
45 |
+
101.07421875,
|
46 |
+
11.162109375
|
47 |
+
]
|
48 |
+
},
|
49 |
+
"gripper": {
|
50 |
+
"max": [
|
51 |
+
92.373046875
|
52 |
+
],
|
53 |
+
"min": [
|
54 |
+
-0.615234375
|
55 |
+
],
|
56 |
+
"mean": [
|
57 |
+
14.521344184875488
|
58 |
+
],
|
59 |
+
"std": [
|
60 |
+
13.066176414489746
|
61 |
+
],
|
62 |
+
"q01": [
|
63 |
+
0.0
|
64 |
+
],
|
65 |
+
"q99": [
|
66 |
+
52.470703125
|
67 |
+
]
|
68 |
+
}
|
69 |
+
},
|
70 |
+
"action": {
|
71 |
+
"single_arm": {
|
72 |
+
"max": [
|
73 |
+
33.662109375,
|
74 |
+
86.484375,
|
75 |
+
85.078125,
|
76 |
+
102.65625,
|
77 |
+
33.3984375
|
78 |
+
],
|
79 |
+
"min": [
|
80 |
+
-87.890625,
|
81 |
+
-104.4140625,
|
82 |
+
-110.7421875,
|
83 |
+
-19.599609375,
|
84 |
+
-173.3203125
|
85 |
+
],
|
86 |
+
"mean": [
|
87 |
+
-26.84657096862793,
|
88 |
+
4.594353199005127,
|
89 |
+
-23.747364044189453,
|
90 |
+
74.75859832763672,
|
91 |
+
-111.30194854736328
|
92 |
+
],
|
93 |
+
"std": [
|
94 |
+
27.627857208251953,
|
95 |
+
40.672019958496094,
|
96 |
+
48.966896057128906,
|
97 |
+
20.728727340698242,
|
98 |
+
46.57689666748047
|
99 |
+
],
|
100 |
+
"q01": [
|
101 |
+
-79.453125,
|
102 |
+
-102.744140625,
|
103 |
+
-109.6875,
|
104 |
+
17.9296875,
|
105 |
+
-172.177734375
|
106 |
+
],
|
107 |
+
"q99": [
|
108 |
+
24.08203125,
|
109 |
+
72.685546875,
|
110 |
+
83.84765625,
|
111 |
+
101.77734375,
|
112 |
+
10.72265625
|
113 |
+
]
|
114 |
+
},
|
115 |
+
"gripper": {
|
116 |
+
"max": [
|
117 |
+
92.63671875
|
118 |
+
],
|
119 |
+
"min": [
|
120 |
+
-3.076171875
|
121 |
+
],
|
122 |
+
"mean": [
|
123 |
+
12.46182632446289
|
124 |
+
],
|
125 |
+
"std": [
|
126 |
+
14.029601097106934
|
127 |
+
],
|
128 |
+
"q01": [
|
129 |
+
-0.52734375
|
130 |
+
],
|
131 |
+
"q99": [
|
132 |
+
52.91015625
|
133 |
+
]
|
134 |
+
}
|
135 |
+
}
|
136 |
+
},
|
137 |
+
"modalities": {
|
138 |
+
"video": {
|
139 |
+
"front": {
|
140 |
+
"resolution": [
|
141 |
+
640,
|
142 |
+
480
|
143 |
+
],
|
144 |
+
"channels": 3,
|
145 |
+
"fps": 30.0
|
146 |
+
},
|
147 |
+
"laptop": {
|
148 |
+
"resolution": [
|
149 |
+
640,
|
150 |
+
480
|
151 |
+
],
|
152 |
+
"channels": 3,
|
153 |
+
"fps": 30.0
|
154 |
+
}
|
155 |
+
},
|
156 |
+
"state": {
|
157 |
+
"single_arm": {
|
158 |
+
"absolute": true,
|
159 |
+
"rotation_type": null,
|
160 |
+
"shape": [
|
161 |
+
5
|
162 |
+
],
|
163 |
+
"continuous": true
|
164 |
+
},
|
165 |
+
"gripper": {
|
166 |
+
"absolute": true,
|
167 |
+
"rotation_type": null,
|
168 |
+
"shape": [
|
169 |
+
1
|
170 |
+
],
|
171 |
+
"continuous": true
|
172 |
+
}
|
173 |
+
},
|
174 |
+
"action": {
|
175 |
+
"single_arm": {
|
176 |
+
"absolute": true,
|
177 |
+
"rotation_type": null,
|
178 |
+
"shape": [
|
179 |
+
5
|
180 |
+
],
|
181 |
+
"continuous": true
|
182 |
+
},
|
183 |
+
"gripper": {
|
184 |
+
"absolute": true,
|
185 |
+
"rotation_type": null,
|
186 |
+
"shape": [
|
187 |
+
1
|
188 |
+
],
|
189 |
+
"continuous": true
|
190 |
+
}
|
191 |
+
}
|
192 |
+
},
|
193 |
+
"embodiment_tag": "new_embodiment"
|
194 |
+
}
|
195 |
+
}
|
checkpoint-4000/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0e65895a7b6c052e58b679bdd68bff54a68694a81f38e23d3e03a92059b3600b
|
3 |
+
size 4999367032
|
checkpoint-4000/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7f9bf9ecec75543ce10ef434c434df87246ed1520853803dbde888a1e053e80b
|
3 |
+
size 2586705312
|
checkpoint-4000/model.safetensors.index.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-4000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:39008997be56844954a656172d474c0ac07a1aff1983543078e43e76e3c07cea
|
3 |
+
size 4147424698
|
checkpoint-4000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1b853fa74473f32e44be47a34bdeaf5dc696917c249e44f780bcd71368abd20c
|
3 |
+
size 14244
|
checkpoint-4000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7211b192985f3cf213c0fe5d877c55ab1774647baa7fcf0d4d0c00aad611b2fd
|
3 |
+
size 1064
|
checkpoint-4000/trainer_state.json
ADDED
@@ -0,0 +1,2834 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 1.5929908403026682,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 4000,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.00398247710075667,
|
14 |
+
"grad_norm": 10.328946113586426,
|
15 |
+
"learning_rate": 1.8e-06,
|
16 |
+
"loss": 0.9415,
|
17 |
+
"step": 10
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.00796495420151334,
|
21 |
+
"grad_norm": 6.881450176239014,
|
22 |
+
"learning_rate": 3.8e-06,
|
23 |
+
"loss": 0.8639,
|
24 |
+
"step": 20
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.011947431302270013,
|
28 |
+
"grad_norm": 2.251582384109497,
|
29 |
+
"learning_rate": 5.8e-06,
|
30 |
+
"loss": 0.4771,
|
31 |
+
"step": 30
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.01592990840302668,
|
35 |
+
"grad_norm": 1.6325163841247559,
|
36 |
+
"learning_rate": 7.8e-06,
|
37 |
+
"loss": 0.2953,
|
38 |
+
"step": 40
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.019912385503783353,
|
42 |
+
"grad_norm": 0.9643872976303101,
|
43 |
+
"learning_rate": 9.800000000000001e-06,
|
44 |
+
"loss": 0.2403,
|
45 |
+
"step": 50
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.023894862604540025,
|
49 |
+
"grad_norm": 1.4014142751693726,
|
50 |
+
"learning_rate": 1.18e-05,
|
51 |
+
"loss": 0.2213,
|
52 |
+
"step": 60
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.027877339705296694,
|
56 |
+
"grad_norm": 1.3301987648010254,
|
57 |
+
"learning_rate": 1.3800000000000002e-05,
|
58 |
+
"loss": 0.2048,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.03185981680605336,
|
63 |
+
"grad_norm": 1.5023683309555054,
|
64 |
+
"learning_rate": 1.58e-05,
|
65 |
+
"loss": 0.1658,
|
66 |
+
"step": 80
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.035842293906810034,
|
70 |
+
"grad_norm": 1.7575840950012207,
|
71 |
+
"learning_rate": 1.78e-05,
|
72 |
+
"loss": 0.146,
|
73 |
+
"step": 90
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.039824771007566706,
|
77 |
+
"grad_norm": 1.4768755435943604,
|
78 |
+
"learning_rate": 1.9800000000000004e-05,
|
79 |
+
"loss": 0.154,
|
80 |
+
"step": 100
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.04380724810832338,
|
84 |
+
"grad_norm": 1.43697988986969,
|
85 |
+
"learning_rate": 2.18e-05,
|
86 |
+
"loss": 0.1419,
|
87 |
+
"step": 110
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.04778972520908005,
|
91 |
+
"grad_norm": 1.6363322734832764,
|
92 |
+
"learning_rate": 2.38e-05,
|
93 |
+
"loss": 0.1243,
|
94 |
+
"step": 120
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.051772202309836715,
|
98 |
+
"grad_norm": 1.29106605052948,
|
99 |
+
"learning_rate": 2.58e-05,
|
100 |
+
"loss": 0.1273,
|
101 |
+
"step": 130
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.05575467941059339,
|
105 |
+
"grad_norm": 0.849351704120636,
|
106 |
+
"learning_rate": 2.7800000000000005e-05,
|
107 |
+
"loss": 0.1199,
|
108 |
+
"step": 140
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.05973715651135006,
|
112 |
+
"grad_norm": 1.442665934562683,
|
113 |
+
"learning_rate": 2.98e-05,
|
114 |
+
"loss": 0.1068,
|
115 |
+
"step": 150
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.06371963361210672,
|
119 |
+
"grad_norm": 1.277969241142273,
|
120 |
+
"learning_rate": 3.18e-05,
|
121 |
+
"loss": 0.11,
|
122 |
+
"step": 160
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.0677021107128634,
|
126 |
+
"grad_norm": 1.636638879776001,
|
127 |
+
"learning_rate": 3.38e-05,
|
128 |
+
"loss": 0.1001,
|
129 |
+
"step": 170
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.07168458781362007,
|
133 |
+
"grad_norm": 1.0019601583480835,
|
134 |
+
"learning_rate": 3.58e-05,
|
135 |
+
"loss": 0.1126,
|
136 |
+
"step": 180
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.07566706491437675,
|
140 |
+
"grad_norm": 0.9693198204040527,
|
141 |
+
"learning_rate": 3.7800000000000004e-05,
|
142 |
+
"loss": 0.0867,
|
143 |
+
"step": 190
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.07964954201513341,
|
147 |
+
"grad_norm": 0.7893789410591125,
|
148 |
+
"learning_rate": 3.9800000000000005e-05,
|
149 |
+
"loss": 0.1002,
|
150 |
+
"step": 200
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.08363201911589008,
|
154 |
+
"grad_norm": 1.736881136894226,
|
155 |
+
"learning_rate": 4.18e-05,
|
156 |
+
"loss": 0.1015,
|
157 |
+
"step": 210
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.08761449621664676,
|
161 |
+
"grad_norm": 0.7016027569770813,
|
162 |
+
"learning_rate": 4.38e-05,
|
163 |
+
"loss": 0.0895,
|
164 |
+
"step": 220
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.09159697331740342,
|
168 |
+
"grad_norm": 1.6043905019760132,
|
169 |
+
"learning_rate": 4.58e-05,
|
170 |
+
"loss": 0.0857,
|
171 |
+
"step": 230
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.0955794504181601,
|
175 |
+
"grad_norm": 1.4260313510894775,
|
176 |
+
"learning_rate": 4.78e-05,
|
177 |
+
"loss": 0.0818,
|
178 |
+
"step": 240
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.09956192751891677,
|
182 |
+
"grad_norm": 0.9992408156394958,
|
183 |
+
"learning_rate": 4.9800000000000004e-05,
|
184 |
+
"loss": 0.0763,
|
185 |
+
"step": 250
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.10354440461967343,
|
189 |
+
"grad_norm": 0.5259194374084473,
|
190 |
+
"learning_rate": 5.1800000000000005e-05,
|
191 |
+
"loss": 0.0728,
|
192 |
+
"step": 260
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.10752688172043011,
|
196 |
+
"grad_norm": 0.8904138207435608,
|
197 |
+
"learning_rate": 5.380000000000001e-05,
|
198 |
+
"loss": 0.0741,
|
199 |
+
"step": 270
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.11150935882118677,
|
203 |
+
"grad_norm": 0.8944669961929321,
|
204 |
+
"learning_rate": 5.580000000000001e-05,
|
205 |
+
"loss": 0.0646,
|
206 |
+
"step": 280
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.11549183592194345,
|
210 |
+
"grad_norm": 1.0091243982315063,
|
211 |
+
"learning_rate": 5.7799999999999995e-05,
|
212 |
+
"loss": 0.07,
|
213 |
+
"step": 290
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.11947431302270012,
|
217 |
+
"grad_norm": 0.7492197155952454,
|
218 |
+
"learning_rate": 5.9800000000000003e-05,
|
219 |
+
"loss": 0.0726,
|
220 |
+
"step": 300
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.12345679012345678,
|
224 |
+
"grad_norm": 0.9669196605682373,
|
225 |
+
"learning_rate": 6.18e-05,
|
226 |
+
"loss": 0.068,
|
227 |
+
"step": 310
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.12743926722421345,
|
231 |
+
"grad_norm": 0.8658894896507263,
|
232 |
+
"learning_rate": 6.38e-05,
|
233 |
+
"loss": 0.0605,
|
234 |
+
"step": 320
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.13142174432497014,
|
238 |
+
"grad_norm": 0.6594343185424805,
|
239 |
+
"learning_rate": 6.58e-05,
|
240 |
+
"loss": 0.06,
|
241 |
+
"step": 330
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.1354042214257268,
|
245 |
+
"grad_norm": 0.9863249659538269,
|
246 |
+
"learning_rate": 6.780000000000001e-05,
|
247 |
+
"loss": 0.0582,
|
248 |
+
"step": 340
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.13938669852648347,
|
252 |
+
"grad_norm": 0.8012584447860718,
|
253 |
+
"learning_rate": 6.98e-05,
|
254 |
+
"loss": 0.0581,
|
255 |
+
"step": 350
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.14336917562724014,
|
259 |
+
"grad_norm": 0.8694135546684265,
|
260 |
+
"learning_rate": 7.18e-05,
|
261 |
+
"loss": 0.06,
|
262 |
+
"step": 360
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.1473516527279968,
|
266 |
+
"grad_norm": 0.8341110944747925,
|
267 |
+
"learning_rate": 7.38e-05,
|
268 |
+
"loss": 0.0551,
|
269 |
+
"step": 370
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.1513341298287535,
|
273 |
+
"grad_norm": 0.8546151518821716,
|
274 |
+
"learning_rate": 7.58e-05,
|
275 |
+
"loss": 0.0504,
|
276 |
+
"step": 380
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.15531660692951016,
|
280 |
+
"grad_norm": 0.8565087914466858,
|
281 |
+
"learning_rate": 7.780000000000001e-05,
|
282 |
+
"loss": 0.0544,
|
283 |
+
"step": 390
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.15929908403026682,
|
287 |
+
"grad_norm": 0.9835138320922852,
|
288 |
+
"learning_rate": 7.98e-05,
|
289 |
+
"loss": 0.0528,
|
290 |
+
"step": 400
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.1632815611310235,
|
294 |
+
"grad_norm": 0.9852800965309143,
|
295 |
+
"learning_rate": 8.18e-05,
|
296 |
+
"loss": 0.0556,
|
297 |
+
"step": 410
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.16726403823178015,
|
301 |
+
"grad_norm": 0.9271975755691528,
|
302 |
+
"learning_rate": 8.38e-05,
|
303 |
+
"loss": 0.053,
|
304 |
+
"step": 420
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.17124651533253685,
|
308 |
+
"grad_norm": 0.843838632106781,
|
309 |
+
"learning_rate": 8.58e-05,
|
310 |
+
"loss": 0.0536,
|
311 |
+
"step": 430
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.1752289924332935,
|
315 |
+
"grad_norm": 0.6337900161743164,
|
316 |
+
"learning_rate": 8.78e-05,
|
317 |
+
"loss": 0.0501,
|
318 |
+
"step": 440
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.17921146953405018,
|
322 |
+
"grad_norm": 0.8339642882347107,
|
323 |
+
"learning_rate": 8.98e-05,
|
324 |
+
"loss": 0.0535,
|
325 |
+
"step": 450
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.18319394663480684,
|
329 |
+
"grad_norm": 0.8911416530609131,
|
330 |
+
"learning_rate": 9.180000000000001e-05,
|
331 |
+
"loss": 0.0599,
|
332 |
+
"step": 460
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.1871764237355635,
|
336 |
+
"grad_norm": 0.7793362736701965,
|
337 |
+
"learning_rate": 9.38e-05,
|
338 |
+
"loss": 0.0585,
|
339 |
+
"step": 470
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.1911589008363202,
|
343 |
+
"grad_norm": 1.1783093214035034,
|
344 |
+
"learning_rate": 9.58e-05,
|
345 |
+
"loss": 0.0509,
|
346 |
+
"step": 480
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.19514137793707687,
|
350 |
+
"grad_norm": 0.9017106294631958,
|
351 |
+
"learning_rate": 9.78e-05,
|
352 |
+
"loss": 0.0558,
|
353 |
+
"step": 490
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.19912385503783353,
|
357 |
+
"grad_norm": 1.0761146545410156,
|
358 |
+
"learning_rate": 9.98e-05,
|
359 |
+
"loss": 0.0519,
|
360 |
+
"step": 500
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.2031063321385902,
|
364 |
+
"grad_norm": 0.5883626937866211,
|
365 |
+
"learning_rate": 9.9999778549206e-05,
|
366 |
+
"loss": 0.0527,
|
367 |
+
"step": 510
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.20708880923934686,
|
371 |
+
"grad_norm": 0.6159175634384155,
|
372 |
+
"learning_rate": 9.999901304280685e-05,
|
373 |
+
"loss": 0.0488,
|
374 |
+
"step": 520
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.21107128634010355,
|
378 |
+
"grad_norm": 0.6942933797836304,
|
379 |
+
"learning_rate": 9.999770075521164e-05,
|
380 |
+
"loss": 0.0524,
|
381 |
+
"step": 530
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.21505376344086022,
|
385 |
+
"grad_norm": 1.0295978784561157,
|
386 |
+
"learning_rate": 9.99958417007713e-05,
|
387 |
+
"loss": 0.049,
|
388 |
+
"step": 540
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.21903624054161688,
|
392 |
+
"grad_norm": 0.7261350154876709,
|
393 |
+
"learning_rate": 9.999343589981615e-05,
|
394 |
+
"loss": 0.0467,
|
395 |
+
"step": 550
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.22301871764237355,
|
399 |
+
"grad_norm": 0.7238365411758423,
|
400 |
+
"learning_rate": 9.999048337865568e-05,
|
401 |
+
"loss": 0.0477,
|
402 |
+
"step": 560
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.2270011947431302,
|
406 |
+
"grad_norm": 1.1104141473770142,
|
407 |
+
"learning_rate": 9.998698416957815e-05,
|
408 |
+
"loss": 0.0519,
|
409 |
+
"step": 570
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.2309836718438869,
|
413 |
+
"grad_norm": 1.2086730003356934,
|
414 |
+
"learning_rate": 9.998293831085037e-05,
|
415 |
+
"loss": 0.0524,
|
416 |
+
"step": 580
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.23496614894464357,
|
420 |
+
"grad_norm": 0.5849373936653137,
|
421 |
+
"learning_rate": 9.997834584671719e-05,
|
422 |
+
"loss": 0.0514,
|
423 |
+
"step": 590
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.23894862604540024,
|
427 |
+
"grad_norm": 0.9337085485458374,
|
428 |
+
"learning_rate": 9.997320682740107e-05,
|
429 |
+
"loss": 0.0565,
|
430 |
+
"step": 600
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.2429311031461569,
|
434 |
+
"grad_norm": 0.7592830061912537,
|
435 |
+
"learning_rate": 9.996752130910149e-05,
|
436 |
+
"loss": 0.0521,
|
437 |
+
"step": 610
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.24691358024691357,
|
441 |
+
"grad_norm": 0.8495620489120483,
|
442 |
+
"learning_rate": 9.99612893539944e-05,
|
443 |
+
"loss": 0.0501,
|
444 |
+
"step": 620
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.25089605734767023,
|
448 |
+
"grad_norm": 0.44615253806114197,
|
449 |
+
"learning_rate": 9.995451103023144e-05,
|
450 |
+
"loss": 0.0428,
|
451 |
+
"step": 630
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.2548785344484269,
|
455 |
+
"grad_norm": 1.046374797821045,
|
456 |
+
"learning_rate": 9.994718641193928e-05,
|
457 |
+
"loss": 0.0459,
|
458 |
+
"step": 640
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.2588610115491836,
|
462 |
+
"grad_norm": 0.7210455536842346,
|
463 |
+
"learning_rate": 9.993931557921874e-05,
|
464 |
+
"loss": 0.0508,
|
465 |
+
"step": 650
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.2628434886499403,
|
469 |
+
"grad_norm": 0.7506885528564453,
|
470 |
+
"learning_rate": 9.993089861814402e-05,
|
471 |
+
"loss": 0.0499,
|
472 |
+
"step": 660
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.26682596575069695,
|
476 |
+
"grad_norm": 0.6320833563804626,
|
477 |
+
"learning_rate": 9.992193562076166e-05,
|
478 |
+
"loss": 0.0579,
|
479 |
+
"step": 670
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.2708084428514536,
|
483 |
+
"grad_norm": 0.48116907477378845,
|
484 |
+
"learning_rate": 9.991242668508954e-05,
|
485 |
+
"loss": 0.0533,
|
486 |
+
"step": 680
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.2747909199522103,
|
490 |
+
"grad_norm": 0.5594539046287537,
|
491 |
+
"learning_rate": 9.990237191511587e-05,
|
492 |
+
"loss": 0.0479,
|
493 |
+
"step": 690
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.27877339705296694,
|
497 |
+
"grad_norm": 0.6126905083656311,
|
498 |
+
"learning_rate": 9.989177142079802e-05,
|
499 |
+
"loss": 0.0449,
|
500 |
+
"step": 700
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.2827558741537236,
|
504 |
+
"grad_norm": 0.8031131625175476,
|
505 |
+
"learning_rate": 9.988062531806126e-05,
|
506 |
+
"loss": 0.0485,
|
507 |
+
"step": 710
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.2867383512544803,
|
511 |
+
"grad_norm": 0.4269757568836212,
|
512 |
+
"learning_rate": 9.986893372879762e-05,
|
513 |
+
"loss": 0.0463,
|
514 |
+
"step": 720
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.29072082835523694,
|
518 |
+
"grad_norm": 0.8300117254257202,
|
519 |
+
"learning_rate": 9.985669678086443e-05,
|
520 |
+
"loss": 0.0505,
|
521 |
+
"step": 730
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.2947033054559936,
|
525 |
+
"grad_norm": 0.6425809264183044,
|
526 |
+
"learning_rate": 9.984391460808298e-05,
|
527 |
+
"loss": 0.0407,
|
528 |
+
"step": 740
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.2986857825567503,
|
532 |
+
"grad_norm": 0.4019189774990082,
|
533 |
+
"learning_rate": 9.983058735023709e-05,
|
534 |
+
"loss": 0.044,
|
535 |
+
"step": 750
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.302668259657507,
|
539 |
+
"grad_norm": 1.2118290662765503,
|
540 |
+
"learning_rate": 9.98167151530715e-05,
|
541 |
+
"loss": 0.0435,
|
542 |
+
"step": 760
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.30665073675826365,
|
546 |
+
"grad_norm": 0.4535205662250519,
|
547 |
+
"learning_rate": 9.980229816829034e-05,
|
548 |
+
"loss": 0.043,
|
549 |
+
"step": 770
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.3106332138590203,
|
553 |
+
"grad_norm": 0.7236475348472595,
|
554 |
+
"learning_rate": 9.978733655355544e-05,
|
555 |
+
"loss": 0.0479,
|
556 |
+
"step": 780
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.314615690959777,
|
560 |
+
"grad_norm": 1.045904278755188,
|
561 |
+
"learning_rate": 9.977183047248464e-05,
|
562 |
+
"loss": 0.0458,
|
563 |
+
"step": 790
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.31859816806053365,
|
567 |
+
"grad_norm": 0.8453964591026306,
|
568 |
+
"learning_rate": 9.975578009464992e-05,
|
569 |
+
"loss": 0.0489,
|
570 |
+
"step": 800
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.3225806451612903,
|
574 |
+
"grad_norm": 0.8722575902938843,
|
575 |
+
"learning_rate": 9.97391855955757e-05,
|
576 |
+
"loss": 0.0496,
|
577 |
+
"step": 810
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.326563122262047,
|
581 |
+
"grad_norm": 0.5823293328285217,
|
582 |
+
"learning_rate": 9.972204715673669e-05,
|
583 |
+
"loss": 0.0444,
|
584 |
+
"step": 820
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.33054559936280364,
|
588 |
+
"grad_norm": 0.426830917596817,
|
589 |
+
"learning_rate": 9.970436496555617e-05,
|
590 |
+
"loss": 0.0429,
|
591 |
+
"step": 830
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.3345280764635603,
|
595 |
+
"grad_norm": 0.6528297066688538,
|
596 |
+
"learning_rate": 9.968613921540373e-05,
|
597 |
+
"loss": 0.0462,
|
598 |
+
"step": 840
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 0.33851055356431703,
|
602 |
+
"grad_norm": 0.8501228094100952,
|
603 |
+
"learning_rate": 9.966737010559326e-05,
|
604 |
+
"loss": 0.0483,
|
605 |
+
"step": 850
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.3424930306650737,
|
609 |
+
"grad_norm": 0.6673285365104675,
|
610 |
+
"learning_rate": 9.964805784138072e-05,
|
611 |
+
"loss": 0.0483,
|
612 |
+
"step": 860
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.34647550776583036,
|
616 |
+
"grad_norm": 0.6113673448562622,
|
617 |
+
"learning_rate": 9.962820263396195e-05,
|
618 |
+
"loss": 0.0439,
|
619 |
+
"step": 870
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 0.350457984866587,
|
623 |
+
"grad_norm": 0.8236457705497742,
|
624 |
+
"learning_rate": 9.960780470047033e-05,
|
625 |
+
"loss": 0.0425,
|
626 |
+
"step": 880
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.3544404619673437,
|
630 |
+
"grad_norm": 0.4798528552055359,
|
631 |
+
"learning_rate": 9.958686426397437e-05,
|
632 |
+
"loss": 0.0397,
|
633 |
+
"step": 890
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.35842293906810035,
|
637 |
+
"grad_norm": 0.5209172964096069,
|
638 |
+
"learning_rate": 9.956538155347534e-05,
|
639 |
+
"loss": 0.0496,
|
640 |
+
"step": 900
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 0.362405416168857,
|
644 |
+
"grad_norm": 0.549393892288208,
|
645 |
+
"learning_rate": 9.95433568039047e-05,
|
646 |
+
"loss": 0.0388,
|
647 |
+
"step": 910
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.3663878932696137,
|
651 |
+
"grad_norm": 0.6078306436538696,
|
652 |
+
"learning_rate": 9.952079025612162e-05,
|
653 |
+
"loss": 0.0467,
|
654 |
+
"step": 920
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.37037037037037035,
|
658 |
+
"grad_norm": 0.47643283009529114,
|
659 |
+
"learning_rate": 9.949768215691022e-05,
|
660 |
+
"loss": 0.0392,
|
661 |
+
"step": 930
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 0.374352847471127,
|
665 |
+
"grad_norm": 0.5230958461761475,
|
666 |
+
"learning_rate": 9.9474032758977e-05,
|
667 |
+
"loss": 0.0414,
|
668 |
+
"step": 940
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.37833532457188374,
|
672 |
+
"grad_norm": 0.5619562864303589,
|
673 |
+
"learning_rate": 9.944984232094794e-05,
|
674 |
+
"loss": 0.0448,
|
675 |
+
"step": 950
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.3823178016726404,
|
679 |
+
"grad_norm": 0.7934162616729736,
|
680 |
+
"learning_rate": 9.942511110736584e-05,
|
681 |
+
"loss": 0.0389,
|
682 |
+
"step": 960
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 0.38630027877339707,
|
686 |
+
"grad_norm": 0.7610427737236023,
|
687 |
+
"learning_rate": 9.939983938868726e-05,
|
688 |
+
"loss": 0.0383,
|
689 |
+
"step": 970
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.39028275587415373,
|
693 |
+
"grad_norm": 0.6311072111129761,
|
694 |
+
"learning_rate": 9.93740274412797e-05,
|
695 |
+
"loss": 0.0449,
|
696 |
+
"step": 980
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 0.3942652329749104,
|
700 |
+
"grad_norm": 0.3925153613090515,
|
701 |
+
"learning_rate": 9.934767554741846e-05,
|
702 |
+
"loss": 0.043,
|
703 |
+
"step": 990
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 0.39824771007566706,
|
707 |
+
"grad_norm": 0.4677866995334625,
|
708 |
+
"learning_rate": 9.932078399528361e-05,
|
709 |
+
"loss": 0.0414,
|
710 |
+
"step": 1000
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.4022301871764237,
|
714 |
+
"grad_norm": 0.38546767830848694,
|
715 |
+
"learning_rate": 9.929335307895689e-05,
|
716 |
+
"loss": 0.0342,
|
717 |
+
"step": 1010
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.4062126642771804,
|
721 |
+
"grad_norm": 0.5453174710273743,
|
722 |
+
"learning_rate": 9.926538309841839e-05,
|
723 |
+
"loss": 0.0421,
|
724 |
+
"step": 1020
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 0.41019514137793706,
|
728 |
+
"grad_norm": 0.34743279218673706,
|
729 |
+
"learning_rate": 9.923687435954334e-05,
|
730 |
+
"loss": 0.0387,
|
731 |
+
"step": 1030
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 0.4141776184786937,
|
735 |
+
"grad_norm": 0.554025411605835,
|
736 |
+
"learning_rate": 9.920782717409873e-05,
|
737 |
+
"loss": 0.0469,
|
738 |
+
"step": 1040
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 0.41816009557945044,
|
742 |
+
"grad_norm": 0.6354169249534607,
|
743 |
+
"learning_rate": 9.917824185973994e-05,
|
744 |
+
"loss": 0.0411,
|
745 |
+
"step": 1050
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 0.4221425726802071,
|
749 |
+
"grad_norm": 0.46389538049697876,
|
750 |
+
"learning_rate": 9.914811874000723e-05,
|
751 |
+
"loss": 0.0447,
|
752 |
+
"step": 1060
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 0.42612504978096377,
|
756 |
+
"grad_norm": 0.8935972452163696,
|
757 |
+
"learning_rate": 9.911745814432218e-05,
|
758 |
+
"loss": 0.0454,
|
759 |
+
"step": 1070
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 0.43010752688172044,
|
763 |
+
"grad_norm": 1.0306254625320435,
|
764 |
+
"learning_rate": 9.90862604079842e-05,
|
765 |
+
"loss": 0.0438,
|
766 |
+
"step": 1080
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 0.4340900039824771,
|
770 |
+
"grad_norm": 0.5918930768966675,
|
771 |
+
"learning_rate": 9.90545258721667e-05,
|
772 |
+
"loss": 0.0389,
|
773 |
+
"step": 1090
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 0.43807248108323377,
|
777 |
+
"grad_norm": 0.5646054148674011,
|
778 |
+
"learning_rate": 9.90222548839135e-05,
|
779 |
+
"loss": 0.0395,
|
780 |
+
"step": 1100
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 0.44205495818399043,
|
784 |
+
"grad_norm": 0.5279185175895691,
|
785 |
+
"learning_rate": 9.898944779613495e-05,
|
786 |
+
"loss": 0.0438,
|
787 |
+
"step": 1110
|
788 |
+
},
|
789 |
+
{
|
790 |
+
"epoch": 0.4460374352847471,
|
791 |
+
"grad_norm": 0.41257861256599426,
|
792 |
+
"learning_rate": 9.89561049676041e-05,
|
793 |
+
"loss": 0.0397,
|
794 |
+
"step": 1120
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 0.45001991238550376,
|
798 |
+
"grad_norm": 0.36252203583717346,
|
799 |
+
"learning_rate": 9.89222267629528e-05,
|
800 |
+
"loss": 0.043,
|
801 |
+
"step": 1130
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.4540023894862604,
|
805 |
+
"grad_norm": 0.8424637913703918,
|
806 |
+
"learning_rate": 9.888781355266763e-05,
|
807 |
+
"loss": 0.0433,
|
808 |
+
"step": 1140
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 0.45798486658701715,
|
812 |
+
"grad_norm": 0.5604090690612793,
|
813 |
+
"learning_rate": 9.885286571308598e-05,
|
814 |
+
"loss": 0.0452,
|
815 |
+
"step": 1150
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 0.4619673436877738,
|
819 |
+
"grad_norm": 0.7178535461425781,
|
820 |
+
"learning_rate": 9.881738362639182e-05,
|
821 |
+
"loss": 0.0401,
|
822 |
+
"step": 1160
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 0.4659498207885305,
|
826 |
+
"grad_norm": 0.7291957139968872,
|
827 |
+
"learning_rate": 9.878136768061154e-05,
|
828 |
+
"loss": 0.0368,
|
829 |
+
"step": 1170
|
830 |
+
},
|
831 |
+
{
|
832 |
+
"epoch": 0.46993229788928714,
|
833 |
+
"grad_norm": 0.48816534876823425,
|
834 |
+
"learning_rate": 9.874481826960979e-05,
|
835 |
+
"loss": 0.039,
|
836 |
+
"step": 1180
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 0.4739147749900438,
|
840 |
+
"grad_norm": 0.813832700252533,
|
841 |
+
"learning_rate": 9.870773579308503e-05,
|
842 |
+
"loss": 0.0417,
|
843 |
+
"step": 1190
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 0.4778972520908005,
|
847 |
+
"grad_norm": 0.5479532480239868,
|
848 |
+
"learning_rate": 9.867012065656533e-05,
|
849 |
+
"loss": 0.0428,
|
850 |
+
"step": 1200
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 0.48187972919155714,
|
854 |
+
"grad_norm": 0.7760400772094727,
|
855 |
+
"learning_rate": 9.863197327140376e-05,
|
856 |
+
"loss": 0.0454,
|
857 |
+
"step": 1210
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 0.4858622062923138,
|
861 |
+
"grad_norm": 0.6200589537620544,
|
862 |
+
"learning_rate": 9.859329405477403e-05,
|
863 |
+
"loss": 0.0377,
|
864 |
+
"step": 1220
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 0.48984468339307047,
|
868 |
+
"grad_norm": 0.7709351778030396,
|
869 |
+
"learning_rate": 9.855408342966585e-05,
|
870 |
+
"loss": 0.045,
|
871 |
+
"step": 1230
|
872 |
+
},
|
873 |
+
{
|
874 |
+
"epoch": 0.49382716049382713,
|
875 |
+
"grad_norm": 0.44105854630470276,
|
876 |
+
"learning_rate": 9.851434182488033e-05,
|
877 |
+
"loss": 0.0374,
|
878 |
+
"step": 1240
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 0.49780963759458385,
|
882 |
+
"grad_norm": 0.4224795401096344,
|
883 |
+
"learning_rate": 9.84740696750253e-05,
|
884 |
+
"loss": 0.0403,
|
885 |
+
"step": 1250
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 0.5017921146953405,
|
889 |
+
"grad_norm": 0.49829116463661194,
|
890 |
+
"learning_rate": 9.843326742051055e-05,
|
891 |
+
"loss": 0.0427,
|
892 |
+
"step": 1260
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 0.5057745917960972,
|
896 |
+
"grad_norm": 0.42388513684272766,
|
897 |
+
"learning_rate": 9.839193550754297e-05,
|
898 |
+
"loss": 0.0407,
|
899 |
+
"step": 1270
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 0.5097570688968538,
|
903 |
+
"grad_norm": 0.8282580375671387,
|
904 |
+
"learning_rate": 9.835007438812177e-05,
|
905 |
+
"loss": 0.0422,
|
906 |
+
"step": 1280
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 0.5137395459976105,
|
910 |
+
"grad_norm": 0.7779645323753357,
|
911 |
+
"learning_rate": 9.830768452003341e-05,
|
912 |
+
"loss": 0.044,
|
913 |
+
"step": 1290
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 0.5177220230983672,
|
917 |
+
"grad_norm": 0.6992411017417908,
|
918 |
+
"learning_rate": 9.826476636684671e-05,
|
919 |
+
"loss": 0.0422,
|
920 |
+
"step": 1300
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 0.5217045001991238,
|
924 |
+
"grad_norm": 0.5714141130447388,
|
925 |
+
"learning_rate": 9.822132039790773e-05,
|
926 |
+
"loss": 0.0394,
|
927 |
+
"step": 1310
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 0.5256869772998806,
|
931 |
+
"grad_norm": 0.8175871968269348,
|
932 |
+
"learning_rate": 9.817734708833461e-05,
|
933 |
+
"loss": 0.0498,
|
934 |
+
"step": 1320
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 0.5296694544006372,
|
938 |
+
"grad_norm": 0.6209958791732788,
|
939 |
+
"learning_rate": 9.813284691901243e-05,
|
940 |
+
"loss": 0.04,
|
941 |
+
"step": 1330
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 0.5336519315013939,
|
945 |
+
"grad_norm": 0.39030686020851135,
|
946 |
+
"learning_rate": 9.808782037658792e-05,
|
947 |
+
"loss": 0.0414,
|
948 |
+
"step": 1340
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 0.5376344086021505,
|
952 |
+
"grad_norm": 0.5858843922615051,
|
953 |
+
"learning_rate": 9.804226795346411e-05,
|
954 |
+
"loss": 0.0384,
|
955 |
+
"step": 1350
|
956 |
+
},
|
957 |
+
{
|
958 |
+
"epoch": 0.5416168857029072,
|
959 |
+
"grad_norm": 0.812506914138794,
|
960 |
+
"learning_rate": 9.799619014779503e-05,
|
961 |
+
"loss": 0.0428,
|
962 |
+
"step": 1360
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 0.5455993628036638,
|
966 |
+
"grad_norm": 0.5438332557678223,
|
967 |
+
"learning_rate": 9.794958746348013e-05,
|
968 |
+
"loss": 0.0344,
|
969 |
+
"step": 1370
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.5495818399044206,
|
973 |
+
"grad_norm": 0.4357604384422302,
|
974 |
+
"learning_rate": 9.790246041015896e-05,
|
975 |
+
"loss": 0.0429,
|
976 |
+
"step": 1380
|
977 |
+
},
|
978 |
+
{
|
979 |
+
"epoch": 0.5535643170051773,
|
980 |
+
"grad_norm": 0.6829274892807007,
|
981 |
+
"learning_rate": 9.785480950320538e-05,
|
982 |
+
"loss": 0.0352,
|
983 |
+
"step": 1390
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 0.5575467941059339,
|
987 |
+
"grad_norm": 0.46741291880607605,
|
988 |
+
"learning_rate": 9.78066352637221e-05,
|
989 |
+
"loss": 0.0387,
|
990 |
+
"step": 1400
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 0.5615292712066906,
|
994 |
+
"grad_norm": 0.8722621202468872,
|
995 |
+
"learning_rate": 9.775793821853488e-05,
|
996 |
+
"loss": 0.0364,
|
997 |
+
"step": 1410
|
998 |
+
},
|
999 |
+
{
|
1000 |
+
"epoch": 0.5655117483074472,
|
1001 |
+
"grad_norm": 0.6563253402709961,
|
1002 |
+
"learning_rate": 9.77087189001868e-05,
|
1003 |
+
"loss": 0.0409,
|
1004 |
+
"step": 1420
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 0.5694942254082039,
|
1008 |
+
"grad_norm": 0.6959318518638611,
|
1009 |
+
"learning_rate": 9.765897784693243e-05,
|
1010 |
+
"loss": 0.0349,
|
1011 |
+
"step": 1430
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 0.5734767025089605,
|
1015 |
+
"grad_norm": 0.34205693006515503,
|
1016 |
+
"learning_rate": 9.760871560273197e-05,
|
1017 |
+
"loss": 0.036,
|
1018 |
+
"step": 1440
|
1019 |
+
},
|
1020 |
+
{
|
1021 |
+
"epoch": 0.5774591796097173,
|
1022 |
+
"grad_norm": 0.7076167464256287,
|
1023 |
+
"learning_rate": 9.755793271724526e-05,
|
1024 |
+
"loss": 0.0413,
|
1025 |
+
"step": 1450
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 0.5814416567104739,
|
1029 |
+
"grad_norm": 0.6335232257843018,
|
1030 |
+
"learning_rate": 9.750662974582584e-05,
|
1031 |
+
"loss": 0.0392,
|
1032 |
+
"step": 1460
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
"epoch": 0.5854241338112306,
|
1036 |
+
"grad_norm": 0.7028225660324097,
|
1037 |
+
"learning_rate": 9.745480724951473e-05,
|
1038 |
+
"loss": 0.0391,
|
1039 |
+
"step": 1470
|
1040 |
+
},
|
1041 |
+
{
|
1042 |
+
"epoch": 0.5894066109119872,
|
1043 |
+
"grad_norm": 0.5494594573974609,
|
1044 |
+
"learning_rate": 9.740246579503447e-05,
|
1045 |
+
"loss": 0.0469,
|
1046 |
+
"step": 1480
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 0.5933890880127439,
|
1050 |
+
"grad_norm": 0.3793744146823883,
|
1051 |
+
"learning_rate": 9.734960595478284e-05,
|
1052 |
+
"loss": 0.0372,
|
1053 |
+
"step": 1490
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 0.5973715651135006,
|
1057 |
+
"grad_norm": 0.6068878769874573,
|
1058 |
+
"learning_rate": 9.729622830682657e-05,
|
1059 |
+
"loss": 0.0443,
|
1060 |
+
"step": 1500
|
1061 |
+
},
|
1062 |
+
{
|
1063 |
+
"epoch": 0.6013540422142573,
|
1064 |
+
"grad_norm": 0.6348056197166443,
|
1065 |
+
"learning_rate": 9.724233343489504e-05,
|
1066 |
+
"loss": 0.0388,
|
1067 |
+
"step": 1510
|
1068 |
+
},
|
1069 |
+
{
|
1070 |
+
"epoch": 0.605336519315014,
|
1071 |
+
"grad_norm": 0.7185152173042297,
|
1072 |
+
"learning_rate": 9.718792192837396e-05,
|
1073 |
+
"loss": 0.0394,
|
1074 |
+
"step": 1520
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 0.6093189964157706,
|
1078 |
+
"grad_norm": 0.29940369725227356,
|
1079 |
+
"learning_rate": 9.713299438229886e-05,
|
1080 |
+
"loss": 0.0373,
|
1081 |
+
"step": 1530
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 0.6133014735165273,
|
1085 |
+
"grad_norm": 0.608589768409729,
|
1086 |
+
"learning_rate": 9.707755139734855e-05,
|
1087 |
+
"loss": 0.0444,
|
1088 |
+
"step": 1540
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 0.6172839506172839,
|
1092 |
+
"grad_norm": 0.6535037755966187,
|
1093 |
+
"learning_rate": 9.702159357983866e-05,
|
1094 |
+
"loss": 0.0418,
|
1095 |
+
"step": 1550
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 0.6212664277180406,
|
1099 |
+
"grad_norm": 0.389615923166275,
|
1100 |
+
"learning_rate": 9.696512154171492e-05,
|
1101 |
+
"loss": 0.0394,
|
1102 |
+
"step": 1560
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"epoch": 0.6252489048187972,
|
1106 |
+
"grad_norm": 0.5415939092636108,
|
1107 |
+
"learning_rate": 9.690813590054645e-05,
|
1108 |
+
"loss": 0.0374,
|
1109 |
+
"step": 1570
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 0.629231381919554,
|
1113 |
+
"grad_norm": 0.6598183512687683,
|
1114 |
+
"learning_rate": 9.685063727951914e-05,
|
1115 |
+
"loss": 0.0364,
|
1116 |
+
"step": 1580
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 0.6332138590203107,
|
1120 |
+
"grad_norm": 0.4346562325954437,
|
1121 |
+
"learning_rate": 9.679262630742865e-05,
|
1122 |
+
"loss": 0.0368,
|
1123 |
+
"step": 1590
|
1124 |
+
},
|
1125 |
+
{
|
1126 |
+
"epoch": 0.6371963361210673,
|
1127 |
+
"grad_norm": 0.7525681257247925,
|
1128 |
+
"learning_rate": 9.673410361867373e-05,
|
1129 |
+
"loss": 0.037,
|
1130 |
+
"step": 1600
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 0.641178813221824,
|
1134 |
+
"grad_norm": 0.4621691405773163,
|
1135 |
+
"learning_rate": 9.667506985324909e-05,
|
1136 |
+
"loss": 0.0313,
|
1137 |
+
"step": 1610
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 0.6451612903225806,
|
1141 |
+
"grad_norm": 0.5039979219436646,
|
1142 |
+
"learning_rate": 9.661552565673855e-05,
|
1143 |
+
"loss": 0.0309,
|
1144 |
+
"step": 1620
|
1145 |
+
},
|
1146 |
+
{
|
1147 |
+
"epoch": 0.6491437674233373,
|
1148 |
+
"grad_norm": 0.29736581444740295,
|
1149 |
+
"learning_rate": 9.655547168030789e-05,
|
1150 |
+
"loss": 0.0369,
|
1151 |
+
"step": 1630
|
1152 |
+
},
|
1153 |
+
{
|
1154 |
+
"epoch": 0.653126244524094,
|
1155 |
+
"grad_norm": 0.4153502583503723,
|
1156 |
+
"learning_rate": 9.649490858069777e-05,
|
1157 |
+
"loss": 0.0349,
|
1158 |
+
"step": 1640
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 0.6571087216248507,
|
1162 |
+
"grad_norm": 0.64329993724823,
|
1163 |
+
"learning_rate": 9.643383702021658e-05,
|
1164 |
+
"loss": 0.0422,
|
1165 |
+
"step": 1650
|
1166 |
+
},
|
1167 |
+
{
|
1168 |
+
"epoch": 0.6610911987256073,
|
1169 |
+
"grad_norm": 0.39090660214424133,
|
1170 |
+
"learning_rate": 9.637225766673307e-05,
|
1171 |
+
"loss": 0.0332,
|
1172 |
+
"step": 1660
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.665073675826364,
|
1176 |
+
"grad_norm": 0.4412473440170288,
|
1177 |
+
"learning_rate": 9.631017119366922e-05,
|
1178 |
+
"loss": 0.0374,
|
1179 |
+
"step": 1670
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.6690561529271206,
|
1183 |
+
"grad_norm": 0.28402477502822876,
|
1184 |
+
"learning_rate": 9.624757827999273e-05,
|
1185 |
+
"loss": 0.0364,
|
1186 |
+
"step": 1680
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 0.6730386300278773,
|
1190 |
+
"grad_norm": 0.5480361580848694,
|
1191 |
+
"learning_rate": 9.618447961020971e-05,
|
1192 |
+
"loss": 0.0381,
|
1193 |
+
"step": 1690
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 0.6770211071286341,
|
1197 |
+
"grad_norm": 0.6572909355163574,
|
1198 |
+
"learning_rate": 9.612087587435707e-05,
|
1199 |
+
"loss": 0.037,
|
1200 |
+
"step": 1700
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 0.6810035842293907,
|
1204 |
+
"grad_norm": 0.6667490601539612,
|
1205 |
+
"learning_rate": 9.605676776799508e-05,
|
1206 |
+
"loss": 0.04,
|
1207 |
+
"step": 1710
|
1208 |
+
},
|
1209 |
+
{
|
1210 |
+
"epoch": 0.6849860613301474,
|
1211 |
+
"grad_norm": 0.29837551712989807,
|
1212 |
+
"learning_rate": 9.599215599219973e-05,
|
1213 |
+
"loss": 0.0351,
|
1214 |
+
"step": 1720
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 0.688968538430904,
|
1218 |
+
"grad_norm": 0.6289225220680237,
|
1219 |
+
"learning_rate": 9.592704125355505e-05,
|
1220 |
+
"loss": 0.0377,
|
1221 |
+
"step": 1730
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.6929510155316607,
|
1225 |
+
"grad_norm": 0.4489145576953888,
|
1226 |
+
"learning_rate": 9.586142426414538e-05,
|
1227 |
+
"loss": 0.0391,
|
1228 |
+
"step": 1740
|
1229 |
+
},
|
1230 |
+
{
|
1231 |
+
"epoch": 0.6969334926324173,
|
1232 |
+
"grad_norm": 0.5505160093307495,
|
1233 |
+
"learning_rate": 9.57953057415476e-05,
|
1234 |
+
"loss": 0.0371,
|
1235 |
+
"step": 1750
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 0.700915969733174,
|
1239 |
+
"grad_norm": 0.48338383436203003,
|
1240 |
+
"learning_rate": 9.572868640882328e-05,
|
1241 |
+
"loss": 0.0399,
|
1242 |
+
"step": 1760
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 0.7048984468339307,
|
1246 |
+
"grad_norm": 0.3950949013233185,
|
1247 |
+
"learning_rate": 9.56615669945108e-05,
|
1248 |
+
"loss": 0.0411,
|
1249 |
+
"step": 1770
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 0.7088809239346874,
|
1253 |
+
"grad_norm": 0.7186228036880493,
|
1254 |
+
"learning_rate": 9.55939482326173e-05,
|
1255 |
+
"loss": 0.0358,
|
1256 |
+
"step": 1780
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 0.7128634010354441,
|
1260 |
+
"grad_norm": 0.36578911542892456,
|
1261 |
+
"learning_rate": 9.552583086261069e-05,
|
1262 |
+
"loss": 0.0402,
|
1263 |
+
"step": 1790
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.7168458781362007,
|
1267 |
+
"grad_norm": 0.48990169167518616,
|
1268 |
+
"learning_rate": 9.545721562941168e-05,
|
1269 |
+
"loss": 0.0353,
|
1270 |
+
"step": 1800
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 0.7208283552369574,
|
1274 |
+
"grad_norm": 0.37718433141708374,
|
1275 |
+
"learning_rate": 9.538810328338543e-05,
|
1276 |
+
"loss": 0.0385,
|
1277 |
+
"step": 1810
|
1278 |
+
},
|
1279 |
+
{
|
1280 |
+
"epoch": 0.724810832337714,
|
1281 |
+
"grad_norm": 0.40954500436782837,
|
1282 |
+
"learning_rate": 9.531849458033349e-05,
|
1283 |
+
"loss": 0.0334,
|
1284 |
+
"step": 1820
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 0.7287933094384708,
|
1288 |
+
"grad_norm": 0.6403422951698303,
|
1289 |
+
"learning_rate": 9.524839028148547e-05,
|
1290 |
+
"loss": 0.0385,
|
1291 |
+
"step": 1830
|
1292 |
+
},
|
1293 |
+
{
|
1294 |
+
"epoch": 0.7327757865392274,
|
1295 |
+
"grad_norm": 0.4989095628261566,
|
1296 |
+
"learning_rate": 9.517779115349077e-05,
|
1297 |
+
"loss": 0.0374,
|
1298 |
+
"step": 1840
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 0.7367582636399841,
|
1302 |
+
"grad_norm": 0.4369076192378998,
|
1303 |
+
"learning_rate": 9.510669796841014e-05,
|
1304 |
+
"loss": 0.0353,
|
1305 |
+
"step": 1850
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 0.7407407407407407,
|
1309 |
+
"grad_norm": 0.6268195509910583,
|
1310 |
+
"learning_rate": 9.503511150370727e-05,
|
1311 |
+
"loss": 0.0407,
|
1312 |
+
"step": 1860
|
1313 |
+
},
|
1314 |
+
{
|
1315 |
+
"epoch": 0.7447232178414974,
|
1316 |
+
"grad_norm": 0.40719932317733765,
|
1317 |
+
"learning_rate": 9.496303254224024e-05,
|
1318 |
+
"loss": 0.037,
|
1319 |
+
"step": 1870
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 0.748705694942254,
|
1323 |
+
"grad_norm": 0.41097119450569153,
|
1324 |
+
"learning_rate": 9.489046187225306e-05,
|
1325 |
+
"loss": 0.0338,
|
1326 |
+
"step": 1880
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 0.7526881720430108,
|
1330 |
+
"grad_norm": 0.3966093361377716,
|
1331 |
+
"learning_rate": 9.481740028736692e-05,
|
1332 |
+
"loss": 0.0318,
|
1333 |
+
"step": 1890
|
1334 |
+
},
|
1335 |
+
{
|
1336 |
+
"epoch": 0.7566706491437675,
|
1337 |
+
"grad_norm": 0.6017296314239502,
|
1338 |
+
"learning_rate": 9.474384858657164e-05,
|
1339 |
+
"loss": 0.0375,
|
1340 |
+
"step": 1900
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 0.7606531262445241,
|
1344 |
+
"grad_norm": 0.6876013278961182,
|
1345 |
+
"learning_rate": 9.466980757421679e-05,
|
1346 |
+
"loss": 0.0381,
|
1347 |
+
"step": 1910
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 0.7646356033452808,
|
1351 |
+
"grad_norm": 0.4606328010559082,
|
1352 |
+
"learning_rate": 9.459527806000305e-05,
|
1353 |
+
"loss": 0.0379,
|
1354 |
+
"step": 1920
|
1355 |
+
},
|
1356 |
+
{
|
1357 |
+
"epoch": 0.7686180804460374,
|
1358 |
+
"grad_norm": 0.9279587268829346,
|
1359 |
+
"learning_rate": 9.452026085897325e-05,
|
1360 |
+
"loss": 0.0351,
|
1361 |
+
"step": 1930
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 0.7726005575467941,
|
1365 |
+
"grad_norm": 0.5607491135597229,
|
1366 |
+
"learning_rate": 9.444475679150348e-05,
|
1367 |
+
"loss": 0.0397,
|
1368 |
+
"step": 1940
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 0.7765830346475507,
|
1372 |
+
"grad_norm": 0.7617636322975159,
|
1373 |
+
"learning_rate": 9.436876668329411e-05,
|
1374 |
+
"loss": 0.0357,
|
1375 |
+
"step": 1950
|
1376 |
+
},
|
1377 |
+
{
|
1378 |
+
"epoch": 0.7805655117483075,
|
1379 |
+
"grad_norm": 0.40550336241722107,
|
1380 |
+
"learning_rate": 9.429229136536079e-05,
|
1381 |
+
"loss": 0.0326,
|
1382 |
+
"step": 1960
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 0.7845479888490641,
|
1386 |
+
"grad_norm": 0.7706924676895142,
|
1387 |
+
"learning_rate": 9.421533167402534e-05,
|
1388 |
+
"loss": 0.0395,
|
1389 |
+
"step": 1970
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 0.7885304659498208,
|
1393 |
+
"grad_norm": 0.5256568789482117,
|
1394 |
+
"learning_rate": 9.413788845090666e-05,
|
1395 |
+
"loss": 0.04,
|
1396 |
+
"step": 1980
|
1397 |
+
},
|
1398 |
+
{
|
1399 |
+
"epoch": 0.7925129430505775,
|
1400 |
+
"grad_norm": 0.4805433452129364,
|
1401 |
+
"learning_rate": 9.405996254291136e-05,
|
1402 |
+
"loss": 0.0358,
|
1403 |
+
"step": 1990
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 0.7964954201513341,
|
1407 |
+
"grad_norm": 0.4774327874183655,
|
1408 |
+
"learning_rate": 9.398155480222474e-05,
|
1409 |
+
"loss": 0.0323,
|
1410 |
+
"step": 2000
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 0.8004778972520908,
|
1414 |
+
"grad_norm": 0.42436131834983826,
|
1415 |
+
"learning_rate": 9.390266608630128e-05,
|
1416 |
+
"loss": 0.0351,
|
1417 |
+
"step": 2010
|
1418 |
+
},
|
1419 |
+
{
|
1420 |
+
"epoch": 0.8044603743528475,
|
1421 |
+
"grad_norm": 0.43557778000831604,
|
1422 |
+
"learning_rate": 9.38232972578553e-05,
|
1423 |
+
"loss": 0.0385,
|
1424 |
+
"step": 2020
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 0.8084428514536042,
|
1428 |
+
"grad_norm": 0.47707608342170715,
|
1429 |
+
"learning_rate": 9.374344918485164e-05,
|
1430 |
+
"loss": 0.0371,
|
1431 |
+
"step": 2030
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 0.8124253285543608,
|
1435 |
+
"grad_norm": 0.4659009873867035,
|
1436 |
+
"learning_rate": 9.366312274049602e-05,
|
1437 |
+
"loss": 0.0407,
|
1438 |
+
"step": 2040
|
1439 |
+
},
|
1440 |
+
{
|
1441 |
+
"epoch": 0.8164078056551175,
|
1442 |
+
"grad_norm": 0.4538560211658478,
|
1443 |
+
"learning_rate": 9.358231880322554e-05,
|
1444 |
+
"loss": 0.0349,
|
1445 |
+
"step": 2050
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 0.8203902827558741,
|
1449 |
+
"grad_norm": 0.6766425967216492,
|
1450 |
+
"learning_rate": 9.350103825669916e-05,
|
1451 |
+
"loss": 0.0311,
|
1452 |
+
"step": 2060
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"epoch": 0.8243727598566308,
|
1456 |
+
"grad_norm": 0.3502272963523865,
|
1457 |
+
"learning_rate": 9.341928198978787e-05,
|
1458 |
+
"loss": 0.0347,
|
1459 |
+
"step": 2070
|
1460 |
+
},
|
1461 |
+
{
|
1462 |
+
"epoch": 0.8283552369573874,
|
1463 |
+
"grad_norm": 0.5337536931037903,
|
1464 |
+
"learning_rate": 9.333705089656512e-05,
|
1465 |
+
"loss": 0.03,
|
1466 |
+
"step": 2080
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 0.8323377140581442,
|
1470 |
+
"grad_norm": 0.6512131690979004,
|
1471 |
+
"learning_rate": 9.325434587629698e-05,
|
1472 |
+
"loss": 0.0329,
|
1473 |
+
"step": 2090
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 0.8363201911589009,
|
1477 |
+
"grad_norm": 0.5638608336448669,
|
1478 |
+
"learning_rate": 9.31711678334323e-05,
|
1479 |
+
"loss": 0.0311,
|
1480 |
+
"step": 2100
|
1481 |
+
},
|
1482 |
+
{
|
1483 |
+
"epoch": 0.8403026682596575,
|
1484 |
+
"grad_norm": 0.3121340572834015,
|
1485 |
+
"learning_rate": 9.308751767759282e-05,
|
1486 |
+
"loss": 0.0319,
|
1487 |
+
"step": 2110
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"epoch": 0.8442851453604142,
|
1491 |
+
"grad_norm": 0.6195731163024902,
|
1492 |
+
"learning_rate": 9.300339632356325e-05,
|
1493 |
+
"loss": 0.0318,
|
1494 |
+
"step": 2120
|
1495 |
+
},
|
1496 |
+
{
|
1497 |
+
"epoch": 0.8482676224611708,
|
1498 |
+
"grad_norm": 0.6970657110214233,
|
1499 |
+
"learning_rate": 9.291880469128124e-05,
|
1500 |
+
"loss": 0.0337,
|
1501 |
+
"step": 2130
|
1502 |
+
},
|
1503 |
+
{
|
1504 |
+
"epoch": 0.8522500995619275,
|
1505 |
+
"grad_norm": 0.5600506663322449,
|
1506 |
+
"learning_rate": 9.283374370582732e-05,
|
1507 |
+
"loss": 0.0371,
|
1508 |
+
"step": 2140
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 0.8562325766626842,
|
1512 |
+
"grad_norm": 0.47252482175827026,
|
1513 |
+
"learning_rate": 9.274821429741482e-05,
|
1514 |
+
"loss": 0.0399,
|
1515 |
+
"step": 2150
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 0.8602150537634409,
|
1519 |
+
"grad_norm": 0.511959969997406,
|
1520 |
+
"learning_rate": 9.266221740137961e-05,
|
1521 |
+
"loss": 0.0336,
|
1522 |
+
"step": 2160
|
1523 |
+
},
|
1524 |
+
{
|
1525 |
+
"epoch": 0.8641975308641975,
|
1526 |
+
"grad_norm": 0.4836970567703247,
|
1527 |
+
"learning_rate": 9.257575395817001e-05,
|
1528 |
+
"loss": 0.0297,
|
1529 |
+
"step": 2170
|
1530 |
+
},
|
1531 |
+
{
|
1532 |
+
"epoch": 0.8681800079649542,
|
1533 |
+
"grad_norm": 0.6154841184616089,
|
1534 |
+
"learning_rate": 9.248882491333637e-05,
|
1535 |
+
"loss": 0.0369,
|
1536 |
+
"step": 2180
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 0.8721624850657109,
|
1540 |
+
"grad_norm": 0.6111750602722168,
|
1541 |
+
"learning_rate": 9.240143121752076e-05,
|
1542 |
+
"loss": 0.0325,
|
1543 |
+
"step": 2190
|
1544 |
+
},
|
1545 |
+
{
|
1546 |
+
"epoch": 0.8761449621664675,
|
1547 |
+
"grad_norm": 0.4122430980205536,
|
1548 |
+
"learning_rate": 9.23135738264467e-05,
|
1549 |
+
"loss": 0.0325,
|
1550 |
+
"step": 2200
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 0.8801274392672243,
|
1554 |
+
"grad_norm": 0.35100454092025757,
|
1555 |
+
"learning_rate": 9.222525370090849e-05,
|
1556 |
+
"loss": 0.0313,
|
1557 |
+
"step": 2210
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 0.8841099163679809,
|
1561 |
+
"grad_norm": 0.5073012113571167,
|
1562 |
+
"learning_rate": 9.213647180676088e-05,
|
1563 |
+
"loss": 0.0337,
|
1564 |
+
"step": 2220
|
1565 |
+
},
|
1566 |
+
{
|
1567 |
+
"epoch": 0.8880923934687376,
|
1568 |
+
"grad_norm": 0.6666367650032043,
|
1569 |
+
"learning_rate": 9.204722911490846e-05,
|
1570 |
+
"loss": 0.0357,
|
1571 |
+
"step": 2230
|
1572 |
+
},
|
1573 |
+
{
|
1574 |
+
"epoch": 0.8920748705694942,
|
1575 |
+
"grad_norm": 0.43829846382141113,
|
1576 |
+
"learning_rate": 9.1957526601295e-05,
|
1577 |
+
"loss": 0.0309,
|
1578 |
+
"step": 2240
|
1579 |
+
},
|
1580 |
+
{
|
1581 |
+
"epoch": 0.8960573476702509,
|
1582 |
+
"grad_norm": 0.41505926847457886,
|
1583 |
+
"learning_rate": 9.186736524689281e-05,
|
1584 |
+
"loss": 0.0362,
|
1585 |
+
"step": 2250
|
1586 |
+
},
|
1587 |
+
{
|
1588 |
+
"epoch": 0.9000398247710075,
|
1589 |
+
"grad_norm": 0.585198700428009,
|
1590 |
+
"learning_rate": 9.177674603769204e-05,
|
1591 |
+
"loss": 0.0373,
|
1592 |
+
"step": 2260
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 0.9040223018717642,
|
1596 |
+
"grad_norm": 0.5691582560539246,
|
1597 |
+
"learning_rate": 9.168566996468983e-05,
|
1598 |
+
"loss": 0.0297,
|
1599 |
+
"step": 2270
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 0.9080047789725209,
|
1603 |
+
"grad_norm": 0.568215012550354,
|
1604 |
+
"learning_rate": 9.159413802387951e-05,
|
1605 |
+
"loss": 0.0375,
|
1606 |
+
"step": 2280
|
1607 |
+
},
|
1608 |
+
{
|
1609 |
+
"epoch": 0.9119872560732776,
|
1610 |
+
"grad_norm": 0.41294440627098083,
|
1611 |
+
"learning_rate": 9.150215121623974e-05,
|
1612 |
+
"loss": 0.0348,
|
1613 |
+
"step": 2290
|
1614 |
+
},
|
1615 |
+
{
|
1616 |
+
"epoch": 0.9159697331740343,
|
1617 |
+
"grad_norm": 0.5145776271820068,
|
1618 |
+
"learning_rate": 9.140971054772349e-05,
|
1619 |
+
"loss": 0.0318,
|
1620 |
+
"step": 2300
|
1621 |
+
},
|
1622 |
+
{
|
1623 |
+
"epoch": 0.9199522102747909,
|
1624 |
+
"grad_norm": 0.4824906289577484,
|
1625 |
+
"learning_rate": 9.131681702924713e-05,
|
1626 |
+
"loss": 0.0383,
|
1627 |
+
"step": 2310
|
1628 |
+
},
|
1629 |
+
{
|
1630 |
+
"epoch": 0.9239346873755476,
|
1631 |
+
"grad_norm": 0.5607543587684631,
|
1632 |
+
"learning_rate": 9.122347167667926e-05,
|
1633 |
+
"loss": 0.0288,
|
1634 |
+
"step": 2320
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 0.9279171644763042,
|
1638 |
+
"grad_norm": 0.7051650285720825,
|
1639 |
+
"learning_rate": 9.112967551082973e-05,
|
1640 |
+
"loss": 0.0393,
|
1641 |
+
"step": 2330
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 0.931899641577061,
|
1645 |
+
"grad_norm": 0.4049379825592041,
|
1646 |
+
"learning_rate": 9.103542955743835e-05,
|
1647 |
+
"loss": 0.0322,
|
1648 |
+
"step": 2340
|
1649 |
+
},
|
1650 |
+
{
|
1651 |
+
"epoch": 0.9358821186778176,
|
1652 |
+
"grad_norm": 0.3805215060710907,
|
1653 |
+
"learning_rate": 9.094073484716381e-05,
|
1654 |
+
"loss": 0.0357,
|
1655 |
+
"step": 2350
|
1656 |
+
},
|
1657 |
+
{
|
1658 |
+
"epoch": 0.9398645957785743,
|
1659 |
+
"grad_norm": 0.44789791107177734,
|
1660 |
+
"learning_rate": 9.084559241557226e-05,
|
1661 |
+
"loss": 0.0291,
|
1662 |
+
"step": 2360
|
1663 |
+
},
|
1664 |
+
{
|
1665 |
+
"epoch": 0.9438470728793309,
|
1666 |
+
"grad_norm": 0.6356040835380554,
|
1667 |
+
"learning_rate": 9.075000330312608e-05,
|
1668 |
+
"loss": 0.0322,
|
1669 |
+
"step": 2370
|
1670 |
+
},
|
1671 |
+
{
|
1672 |
+
"epoch": 0.9478295499800876,
|
1673 |
+
"grad_norm": 0.504687488079071,
|
1674 |
+
"learning_rate": 9.065396855517253e-05,
|
1675 |
+
"loss": 0.03,
|
1676 |
+
"step": 2380
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 0.9518120270808443,
|
1680 |
+
"grad_norm": 0.4105326533317566,
|
1681 |
+
"learning_rate": 9.055748922193219e-05,
|
1682 |
+
"loss": 0.0349,
|
1683 |
+
"step": 2390
|
1684 |
+
},
|
1685 |
+
{
|
1686 |
+
"epoch": 0.955794504181601,
|
1687 |
+
"grad_norm": 0.4912046790122986,
|
1688 |
+
"learning_rate": 9.046056635848761e-05,
|
1689 |
+
"loss": 0.0384,
|
1690 |
+
"step": 2400
|
1691 |
+
},
|
1692 |
+
{
|
1693 |
+
"epoch": 0.9597769812823577,
|
1694 |
+
"grad_norm": 0.7549566030502319,
|
1695 |
+
"learning_rate": 9.036320102477169e-05,
|
1696 |
+
"loss": 0.0327,
|
1697 |
+
"step": 2410
|
1698 |
+
},
|
1699 |
+
{
|
1700 |
+
"epoch": 0.9637594583831143,
|
1701 |
+
"grad_norm": 0.36022019386291504,
|
1702 |
+
"learning_rate": 9.02653942855561e-05,
|
1703 |
+
"loss": 0.0331,
|
1704 |
+
"step": 2420
|
1705 |
+
},
|
1706 |
+
{
|
1707 |
+
"epoch": 0.967741935483871,
|
1708 |
+
"grad_norm": 0.48688042163848877,
|
1709 |
+
"learning_rate": 9.016714721043971e-05,
|
1710 |
+
"loss": 0.0318,
|
1711 |
+
"step": 2430
|
1712 |
+
},
|
1713 |
+
{
|
1714 |
+
"epoch": 0.9717244125846276,
|
1715 |
+
"grad_norm": 0.3235294222831726,
|
1716 |
+
"learning_rate": 9.006846087383675e-05,
|
1717 |
+
"loss": 0.0327,
|
1718 |
+
"step": 2440
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 0.9757068896853843,
|
1722 |
+
"grad_norm": 0.5939168334007263,
|
1723 |
+
"learning_rate": 8.996933635496523e-05,
|
1724 |
+
"loss": 0.0314,
|
1725 |
+
"step": 2450
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 0.9796893667861409,
|
1729 |
+
"grad_norm": 0.7387416958808899,
|
1730 |
+
"learning_rate": 8.986977473783498e-05,
|
1731 |
+
"loss": 0.0374,
|
1732 |
+
"step": 2460
|
1733 |
+
},
|
1734 |
+
{
|
1735 |
+
"epoch": 0.9836718438868977,
|
1736 |
+
"grad_norm": 0.48453521728515625,
|
1737 |
+
"learning_rate": 8.97697771112359e-05,
|
1738 |
+
"loss": 0.0317,
|
1739 |
+
"step": 2470
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 0.9876543209876543,
|
1743 |
+
"grad_norm": 0.40206247568130493,
|
1744 |
+
"learning_rate": 8.966934456872602e-05,
|
1745 |
+
"loss": 0.0303,
|
1746 |
+
"step": 2480
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 0.991636798088411,
|
1750 |
+
"grad_norm": 0.5897948741912842,
|
1751 |
+
"learning_rate": 8.95684782086195e-05,
|
1752 |
+
"loss": 0.0293,
|
1753 |
+
"step": 2490
|
1754 |
+
},
|
1755 |
+
{
|
1756 |
+
"epoch": 0.9956192751891677,
|
1757 |
+
"grad_norm": 0.3984488546848297,
|
1758 |
+
"learning_rate": 8.946717913397476e-05,
|
1759 |
+
"loss": 0.0374,
|
1760 |
+
"step": 2500
|
1761 |
+
},
|
1762 |
+
{
|
1763 |
+
"epoch": 0.9996017522899243,
|
1764 |
+
"grad_norm": 0.3679232597351074,
|
1765 |
+
"learning_rate": 8.93654484525822e-05,
|
1766 |
+
"loss": 0.0311,
|
1767 |
+
"step": 2510
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 1.003584229390681,
|
1771 |
+
"grad_norm": 0.3514699637889862,
|
1772 |
+
"learning_rate": 8.926328727695226e-05,
|
1773 |
+
"loss": 0.0282,
|
1774 |
+
"step": 2520
|
1775 |
+
},
|
1776 |
+
{
|
1777 |
+
"epoch": 1.0075667064914378,
|
1778 |
+
"grad_norm": 0.34111514687538147,
|
1779 |
+
"learning_rate": 8.916069672430319e-05,
|
1780 |
+
"loss": 0.0272,
|
1781 |
+
"step": 2530
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 1.0115491835921944,
|
1785 |
+
"grad_norm": 0.3726666569709778,
|
1786 |
+
"learning_rate": 8.905767791654884e-05,
|
1787 |
+
"loss": 0.0315,
|
1788 |
+
"step": 2540
|
1789 |
+
},
|
1790 |
+
{
|
1791 |
+
"epoch": 1.015531660692951,
|
1792 |
+
"grad_norm": 0.5761587619781494,
|
1793 |
+
"learning_rate": 8.895423198028638e-05,
|
1794 |
+
"loss": 0.0363,
|
1795 |
+
"step": 2550
|
1796 |
+
},
|
1797 |
+
{
|
1798 |
+
"epoch": 1.0195141377937076,
|
1799 |
+
"grad_norm": 0.5593805909156799,
|
1800 |
+
"learning_rate": 8.885036004678402e-05,
|
1801 |
+
"loss": 0.0311,
|
1802 |
+
"step": 2560
|
1803 |
+
},
|
1804 |
+
{
|
1805 |
+
"epoch": 1.0234966148944644,
|
1806 |
+
"grad_norm": 0.3937326669692993,
|
1807 |
+
"learning_rate": 8.874606325196857e-05,
|
1808 |
+
"loss": 0.0339,
|
1809 |
+
"step": 2570
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 1.027479091995221,
|
1813 |
+
"grad_norm": 0.5169225931167603,
|
1814 |
+
"learning_rate": 8.864134273641304e-05,
|
1815 |
+
"loss": 0.03,
|
1816 |
+
"step": 2580
|
1817 |
+
},
|
1818 |
+
{
|
1819 |
+
"epoch": 1.0314615690959776,
|
1820 |
+
"grad_norm": 0.5744480490684509,
|
1821 |
+
"learning_rate": 8.853619964532427e-05,
|
1822 |
+
"loss": 0.0324,
|
1823 |
+
"step": 2590
|
1824 |
+
},
|
1825 |
+
{
|
1826 |
+
"epoch": 1.0354440461967345,
|
1827 |
+
"grad_norm": 0.555366039276123,
|
1828 |
+
"learning_rate": 8.843063512853019e-05,
|
1829 |
+
"loss": 0.0289,
|
1830 |
+
"step": 2600
|
1831 |
+
},
|
1832 |
+
{
|
1833 |
+
"epoch": 1.039426523297491,
|
1834 |
+
"grad_norm": 0.4377165734767914,
|
1835 |
+
"learning_rate": 8.832465034046749e-05,
|
1836 |
+
"loss": 0.0296,
|
1837 |
+
"step": 2610
|
1838 |
+
},
|
1839 |
+
{
|
1840 |
+
"epoch": 1.0434090003982477,
|
1841 |
+
"grad_norm": 0.5874027013778687,
|
1842 |
+
"learning_rate": 8.821824644016882e-05,
|
1843 |
+
"loss": 0.0317,
|
1844 |
+
"step": 2620
|
1845 |
+
},
|
1846 |
+
{
|
1847 |
+
"epoch": 1.0473914774990043,
|
1848 |
+
"grad_norm": 0.7405006289482117,
|
1849 |
+
"learning_rate": 8.811142459125019e-05,
|
1850 |
+
"loss": 0.0308,
|
1851 |
+
"step": 2630
|
1852 |
+
},
|
1853 |
+
{
|
1854 |
+
"epoch": 1.0513739545997611,
|
1855 |
+
"grad_norm": 0.4106619954109192,
|
1856 |
+
"learning_rate": 8.800418596189822e-05,
|
1857 |
+
"loss": 0.0252,
|
1858 |
+
"step": 2640
|
1859 |
+
},
|
1860 |
+
{
|
1861 |
+
"epoch": 1.0553564317005177,
|
1862 |
+
"grad_norm": 0.510388195514679,
|
1863 |
+
"learning_rate": 8.789653172485737e-05,
|
1864 |
+
"loss": 0.0297,
|
1865 |
+
"step": 2650
|
1866 |
+
},
|
1867 |
+
{
|
1868 |
+
"epoch": 1.0593389088012743,
|
1869 |
+
"grad_norm": 0.5874786972999573,
|
1870 |
+
"learning_rate": 8.778846305741715e-05,
|
1871 |
+
"loss": 0.0359,
|
1872 |
+
"step": 2660
|
1873 |
+
},
|
1874 |
+
{
|
1875 |
+
"epoch": 1.063321385902031,
|
1876 |
+
"grad_norm": 0.5348223447799683,
|
1877 |
+
"learning_rate": 8.767998114139918e-05,
|
1878 |
+
"loss": 0.0313,
|
1879 |
+
"step": 2670
|
1880 |
+
},
|
1881 |
+
{
|
1882 |
+
"epoch": 1.0673038630027878,
|
1883 |
+
"grad_norm": 0.3929119408130646,
|
1884 |
+
"learning_rate": 8.757108716314429e-05,
|
1885 |
+
"loss": 0.0329,
|
1886 |
+
"step": 2680
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 1.0712863401035444,
|
1890 |
+
"grad_norm": 0.5612719058990479,
|
1891 |
+
"learning_rate": 8.746178231349962e-05,
|
1892 |
+
"loss": 0.0312,
|
1893 |
+
"step": 2690
|
1894 |
+
},
|
1895 |
+
{
|
1896 |
+
"epoch": 1.075268817204301,
|
1897 |
+
"grad_norm": 0.37800925970077515,
|
1898 |
+
"learning_rate": 8.735206778780549e-05,
|
1899 |
+
"loss": 0.0349,
|
1900 |
+
"step": 2700
|
1901 |
+
},
|
1902 |
+
{
|
1903 |
+
"epoch": 1.0792512943050578,
|
1904 |
+
"grad_norm": 0.43637755513191223,
|
1905 |
+
"learning_rate": 8.724194478588234e-05,
|
1906 |
+
"loss": 0.0307,
|
1907 |
+
"step": 2710
|
1908 |
+
},
|
1909 |
+
{
|
1910 |
+
"epoch": 1.0832337714058144,
|
1911 |
+
"grad_norm": 0.3608951270580292,
|
1912 |
+
"learning_rate": 8.713141451201772e-05,
|
1913 |
+
"loss": 0.0277,
|
1914 |
+
"step": 2720
|
1915 |
+
},
|
1916 |
+
{
|
1917 |
+
"epoch": 1.087216248506571,
|
1918 |
+
"grad_norm": 0.5240746140480042,
|
1919 |
+
"learning_rate": 8.702047817495295e-05,
|
1920 |
+
"loss": 0.0302,
|
1921 |
+
"step": 2730
|
1922 |
+
},
|
1923 |
+
{
|
1924 |
+
"epoch": 1.0911987256073277,
|
1925 |
+
"grad_norm": 0.3599265515804291,
|
1926 |
+
"learning_rate": 8.69091369878701e-05,
|
1927 |
+
"loss": 0.0313,
|
1928 |
+
"step": 2740
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 1.0951812027080845,
|
1932 |
+
"grad_norm": 0.6075289845466614,
|
1933 |
+
"learning_rate": 8.679739216837849e-05,
|
1934 |
+
"loss": 0.0296,
|
1935 |
+
"step": 2750
|
1936 |
+
},
|
1937 |
+
{
|
1938 |
+
"epoch": 1.099163679808841,
|
1939 |
+
"grad_norm": 0.4289771318435669,
|
1940 |
+
"learning_rate": 8.66852449385016e-05,
|
1941 |
+
"loss": 0.0276,
|
1942 |
+
"step": 2760
|
1943 |
+
},
|
1944 |
+
{
|
1945 |
+
"epoch": 1.1031461569095977,
|
1946 |
+
"grad_norm": 0.3706158697605133,
|
1947 |
+
"learning_rate": 8.657269652466356e-05,
|
1948 |
+
"loss": 0.0278,
|
1949 |
+
"step": 2770
|
1950 |
+
},
|
1951 |
+
{
|
1952 |
+
"epoch": 1.1071286340103543,
|
1953 |
+
"grad_norm": 0.6201577186584473,
|
1954 |
+
"learning_rate": 8.645974815767577e-05,
|
1955 |
+
"loss": 0.0315,
|
1956 |
+
"step": 2780
|
1957 |
+
},
|
1958 |
+
{
|
1959 |
+
"epoch": 1.1111111111111112,
|
1960 |
+
"grad_norm": 0.5606251358985901,
|
1961 |
+
"learning_rate": 8.634640107272351e-05,
|
1962 |
+
"loss": 0.0274,
|
1963 |
+
"step": 2790
|
1964 |
+
},
|
1965 |
+
{
|
1966 |
+
"epoch": 1.1150935882118678,
|
1967 |
+
"grad_norm": 0.4653207063674927,
|
1968 |
+
"learning_rate": 8.623265650935234e-05,
|
1969 |
+
"loss": 0.0293,
|
1970 |
+
"step": 2800
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"epoch": 1.1190760653126244,
|
1974 |
+
"grad_norm": 0.4102509915828705,
|
1975 |
+
"learning_rate": 8.611851571145456e-05,
|
1976 |
+
"loss": 0.0311,
|
1977 |
+
"step": 2810
|
1978 |
+
},
|
1979 |
+
{
|
1980 |
+
"epoch": 1.1230585424133812,
|
1981 |
+
"grad_norm": 0.5217996835708618,
|
1982 |
+
"learning_rate": 8.600397992725566e-05,
|
1983 |
+
"loss": 0.0248,
|
1984 |
+
"step": 2820
|
1985 |
+
},
|
1986 |
+
{
|
1987 |
+
"epoch": 1.1270410195141378,
|
1988 |
+
"grad_norm": 0.5519301295280457,
|
1989 |
+
"learning_rate": 8.588905040930061e-05,
|
1990 |
+
"loss": 0.0314,
|
1991 |
+
"step": 2830
|
1992 |
+
},
|
1993 |
+
{
|
1994 |
+
"epoch": 1.1310234966148944,
|
1995 |
+
"grad_norm": 0.43869367241859436,
|
1996 |
+
"learning_rate": 8.577372841444022e-05,
|
1997 |
+
"loss": 0.0289,
|
1998 |
+
"step": 2840
|
1999 |
+
},
|
2000 |
+
{
|
2001 |
+
"epoch": 1.135005973715651,
|
2002 |
+
"grad_norm": 0.4673241078853607,
|
2003 |
+
"learning_rate": 8.565801520381736e-05,
|
2004 |
+
"loss": 0.026,
|
2005 |
+
"step": 2850
|
2006 |
+
},
|
2007 |
+
{
|
2008 |
+
"epoch": 1.1389884508164079,
|
2009 |
+
"grad_norm": 0.4510667622089386,
|
2010 |
+
"learning_rate": 8.554191204285313e-05,
|
2011 |
+
"loss": 0.0319,
|
2012 |
+
"step": 2860
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 1.1429709279171645,
|
2016 |
+
"grad_norm": 0.473105788230896,
|
2017 |
+
"learning_rate": 8.542542020123315e-05,
|
2018 |
+
"loss": 0.032,
|
2019 |
+
"step": 2870
|
2020 |
+
},
|
2021 |
+
{
|
2022 |
+
"epoch": 1.146953405017921,
|
2023 |
+
"grad_norm": 0.4328536093235016,
|
2024 |
+
"learning_rate": 8.530854095289347e-05,
|
2025 |
+
"loss": 0.029,
|
2026 |
+
"step": 2880
|
2027 |
+
},
|
2028 |
+
{
|
2029 |
+
"epoch": 1.1509358821186777,
|
2030 |
+
"grad_norm": 0.45955684781074524,
|
2031 |
+
"learning_rate": 8.519127557600688e-05,
|
2032 |
+
"loss": 0.0274,
|
2033 |
+
"step": 2890
|
2034 |
+
},
|
2035 |
+
{
|
2036 |
+
"epoch": 1.1549183592194345,
|
2037 |
+
"grad_norm": 0.3034651577472687,
|
2038 |
+
"learning_rate": 8.507362535296871e-05,
|
2039 |
+
"loss": 0.0286,
|
2040 |
+
"step": 2900
|
2041 |
+
},
|
2042 |
+
{
|
2043 |
+
"epoch": 1.1589008363201911,
|
2044 |
+
"grad_norm": 0.6441288590431213,
|
2045 |
+
"learning_rate": 8.495559157038299e-05,
|
2046 |
+
"loss": 0.0377,
|
2047 |
+
"step": 2910
|
2048 |
+
},
|
2049 |
+
{
|
2050 |
+
"epoch": 1.1628833134209478,
|
2051 |
+
"grad_norm": 0.43017473816871643,
|
2052 |
+
"learning_rate": 8.483717551904823e-05,
|
2053 |
+
"loss": 0.0297,
|
2054 |
+
"step": 2920
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 1.1668657905217046,
|
2058 |
+
"grad_norm": 0.5794181227684021,
|
2059 |
+
"learning_rate": 8.47183784939434e-05,
|
2060 |
+
"loss": 0.0281,
|
2061 |
+
"step": 2930
|
2062 |
+
},
|
2063 |
+
{
|
2064 |
+
"epoch": 1.1708482676224612,
|
2065 |
+
"grad_norm": 0.32613155245780945,
|
2066 |
+
"learning_rate": 8.459920179421374e-05,
|
2067 |
+
"loss": 0.0324,
|
2068 |
+
"step": 2940
|
2069 |
+
},
|
2070 |
+
{
|
2071 |
+
"epoch": 1.1748307447232178,
|
2072 |
+
"grad_norm": 0.514627993106842,
|
2073 |
+
"learning_rate": 8.447964672315656e-05,
|
2074 |
+
"loss": 0.0275,
|
2075 |
+
"step": 2950
|
2076 |
+
},
|
2077 |
+
{
|
2078 |
+
"epoch": 1.1788132218239746,
|
2079 |
+
"grad_norm": 0.30379730463027954,
|
2080 |
+
"learning_rate": 8.435971458820692e-05,
|
2081 |
+
"loss": 0.0322,
|
2082 |
+
"step": 2960
|
2083 |
+
},
|
2084 |
+
{
|
2085 |
+
"epoch": 1.1827956989247312,
|
2086 |
+
"grad_norm": 0.5878794193267822,
|
2087 |
+
"learning_rate": 8.423940670092345e-05,
|
2088 |
+
"loss": 0.0318,
|
2089 |
+
"step": 2970
|
2090 |
+
},
|
2091 |
+
{
|
2092 |
+
"epoch": 1.1867781760254879,
|
2093 |
+
"grad_norm": 0.3879925012588501,
|
2094 |
+
"learning_rate": 8.411872437697394e-05,
|
2095 |
+
"loss": 0.0323,
|
2096 |
+
"step": 2980
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 1.1907606531262445,
|
2100 |
+
"grad_norm": 0.2640171945095062,
|
2101 |
+
"learning_rate": 8.399766893612096e-05,
|
2102 |
+
"loss": 0.0265,
|
2103 |
+
"step": 2990
|
2104 |
+
},
|
2105 |
+
{
|
2106 |
+
"epoch": 1.194743130227001,
|
2107 |
+
"grad_norm": 0.4299219846725464,
|
2108 |
+
"learning_rate": 8.38762417022074e-05,
|
2109 |
+
"loss": 0.0312,
|
2110 |
+
"step": 3000
|
2111 |
+
},
|
2112 |
+
{
|
2113 |
+
"epoch": 1.198725607327758,
|
2114 |
+
"grad_norm": 0.3073621690273285,
|
2115 |
+
"learning_rate": 8.375444400314204e-05,
|
2116 |
+
"loss": 0.0253,
|
2117 |
+
"step": 3010
|
2118 |
+
},
|
2119 |
+
{
|
2120 |
+
"epoch": 1.2027080844285145,
|
2121 |
+
"grad_norm": 0.26146814227104187,
|
2122 |
+
"learning_rate": 8.3632277170885e-05,
|
2123 |
+
"loss": 0.0312,
|
2124 |
+
"step": 3020
|
2125 |
+
},
|
2126 |
+
{
|
2127 |
+
"epoch": 1.2066905615292711,
|
2128 |
+
"grad_norm": 0.2975267767906189,
|
2129 |
+
"learning_rate": 8.350974254143318e-05,
|
2130 |
+
"loss": 0.0271,
|
2131 |
+
"step": 3030
|
2132 |
+
},
|
2133 |
+
{
|
2134 |
+
"epoch": 1.210673038630028,
|
2135 |
+
"grad_norm": 0.20422956347465515,
|
2136 |
+
"learning_rate": 8.338684145480566e-05,
|
2137 |
+
"loss": 0.0259,
|
2138 |
+
"step": 3040
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 1.2146555157307846,
|
2142 |
+
"grad_norm": 0.31191202998161316,
|
2143 |
+
"learning_rate": 8.326357525502904e-05,
|
2144 |
+
"loss": 0.0304,
|
2145 |
+
"step": 3050
|
2146 |
+
},
|
2147 |
+
{
|
2148 |
+
"epoch": 1.2186379928315412,
|
2149 |
+
"grad_norm": 0.5126979947090149,
|
2150 |
+
"learning_rate": 8.313994529012273e-05,
|
2151 |
+
"loss": 0.0294,
|
2152 |
+
"step": 3060
|
2153 |
+
},
|
2154 |
+
{
|
2155 |
+
"epoch": 1.222620469932298,
|
2156 |
+
"grad_norm": 0.3219705820083618,
|
2157 |
+
"learning_rate": 8.301595291208422e-05,
|
2158 |
+
"loss": 0.0305,
|
2159 |
+
"step": 3070
|
2160 |
+
},
|
2161 |
+
{
|
2162 |
+
"epoch": 1.2266029470330546,
|
2163 |
+
"grad_norm": 0.4278619587421417,
|
2164 |
+
"learning_rate": 8.289159947687427e-05,
|
2165 |
+
"loss": 0.0297,
|
2166 |
+
"step": 3080
|
2167 |
+
},
|
2168 |
+
{
|
2169 |
+
"epoch": 1.2305854241338112,
|
2170 |
+
"grad_norm": 0.5774158239364624,
|
2171 |
+
"learning_rate": 8.276688634440216e-05,
|
2172 |
+
"loss": 0.0296,
|
2173 |
+
"step": 3090
|
2174 |
+
},
|
2175 |
+
{
|
2176 |
+
"epoch": 1.2345679012345678,
|
2177 |
+
"grad_norm": 0.5146026015281677,
|
2178 |
+
"learning_rate": 8.26418148785107e-05,
|
2179 |
+
"loss": 0.0311,
|
2180 |
+
"step": 3100
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"epoch": 1.2385503783353247,
|
2184 |
+
"grad_norm": 0.347504198551178,
|
2185 |
+
"learning_rate": 8.251638644696141e-05,
|
2186 |
+
"loss": 0.0345,
|
2187 |
+
"step": 3110
|
2188 |
+
},
|
2189 |
+
{
|
2190 |
+
"epoch": 1.2425328554360813,
|
2191 |
+
"grad_norm": 0.5153434872627258,
|
2192 |
+
"learning_rate": 8.23906024214195e-05,
|
2193 |
+
"loss": 0.0276,
|
2194 |
+
"step": 3120
|
2195 |
+
},
|
2196 |
+
{
|
2197 |
+
"epoch": 1.2465153325368379,
|
2198 |
+
"grad_norm": 0.31597134470939636,
|
2199 |
+
"learning_rate": 8.226446417743897e-05,
|
2200 |
+
"loss": 0.0343,
|
2201 |
+
"step": 3130
|
2202 |
+
},
|
2203 |
+
{
|
2204 |
+
"epoch": 1.2504978096375945,
|
2205 |
+
"grad_norm": 0.4005573093891144,
|
2206 |
+
"learning_rate": 8.213797309444742e-05,
|
2207 |
+
"loss": 0.0294,
|
2208 |
+
"step": 3140
|
2209 |
+
},
|
2210 |
+
{
|
2211 |
+
"epoch": 1.2544802867383513,
|
2212 |
+
"grad_norm": 0.3009648025035858,
|
2213 |
+
"learning_rate": 8.201113055573105e-05,
|
2214 |
+
"loss": 0.0287,
|
2215 |
+
"step": 3150
|
2216 |
+
},
|
2217 |
+
{
|
2218 |
+
"epoch": 1.258462763839108,
|
2219 |
+
"grad_norm": 0.6014096140861511,
|
2220 |
+
"learning_rate": 8.188393794841958e-05,
|
2221 |
+
"loss": 0.0261,
|
2222 |
+
"step": 3160
|
2223 |
+
},
|
2224 |
+
{
|
2225 |
+
"epoch": 1.2624452409398645,
|
2226 |
+
"grad_norm": 0.38871604204177856,
|
2227 |
+
"learning_rate": 8.175639666347094e-05,
|
2228 |
+
"loss": 0.0316,
|
2229 |
+
"step": 3170
|
2230 |
+
},
|
2231 |
+
{
|
2232 |
+
"epoch": 1.2664277180406214,
|
2233 |
+
"grad_norm": 0.4298296570777893,
|
2234 |
+
"learning_rate": 8.162850809565623e-05,
|
2235 |
+
"loss": 0.0248,
|
2236 |
+
"step": 3180
|
2237 |
+
},
|
2238 |
+
{
|
2239 |
+
"epoch": 1.270410195141378,
|
2240 |
+
"grad_norm": 0.3726460039615631,
|
2241 |
+
"learning_rate": 8.150027364354431e-05,
|
2242 |
+
"loss": 0.0312,
|
2243 |
+
"step": 3190
|
2244 |
+
},
|
2245 |
+
{
|
2246 |
+
"epoch": 1.2743926722421346,
|
2247 |
+
"grad_norm": 0.5679003000259399,
|
2248 |
+
"learning_rate": 8.137169470948662e-05,
|
2249 |
+
"loss": 0.0346,
|
2250 |
+
"step": 3200
|
2251 |
+
},
|
2252 |
+
{
|
2253 |
+
"epoch": 1.2783751493428912,
|
2254 |
+
"grad_norm": 0.3676661252975464,
|
2255 |
+
"learning_rate": 8.124277269960179e-05,
|
2256 |
+
"loss": 0.0298,
|
2257 |
+
"step": 3210
|
2258 |
+
},
|
2259 |
+
{
|
2260 |
+
"epoch": 1.2823576264436478,
|
2261 |
+
"grad_norm": 0.34625566005706787,
|
2262 |
+
"learning_rate": 8.111350902376023e-05,
|
2263 |
+
"loss": 0.0276,
|
2264 |
+
"step": 3220
|
2265 |
+
},
|
2266 |
+
{
|
2267 |
+
"epoch": 1.2863401035444046,
|
2268 |
+
"grad_norm": 0.37914222478866577,
|
2269 |
+
"learning_rate": 8.098390509556883e-05,
|
2270 |
+
"loss": 0.028,
|
2271 |
+
"step": 3230
|
2272 |
+
},
|
2273 |
+
{
|
2274 |
+
"epoch": 1.2903225806451613,
|
2275 |
+
"grad_norm": 0.6115908622741699,
|
2276 |
+
"learning_rate": 8.085396233235536e-05,
|
2277 |
+
"loss": 0.027,
|
2278 |
+
"step": 3240
|
2279 |
+
},
|
2280 |
+
{
|
2281 |
+
"epoch": 1.2943050577459179,
|
2282 |
+
"grad_norm": 0.3943430781364441,
|
2283 |
+
"learning_rate": 8.072368215515306e-05,
|
2284 |
+
"loss": 0.0264,
|
2285 |
+
"step": 3250
|
2286 |
+
},
|
2287 |
+
{
|
2288 |
+
"epoch": 1.2982875348466747,
|
2289 |
+
"grad_norm": 0.4377286434173584,
|
2290 |
+
"learning_rate": 8.059306598868506e-05,
|
2291 |
+
"loss": 0.0334,
|
2292 |
+
"step": 3260
|
2293 |
+
},
|
2294 |
+
{
|
2295 |
+
"epoch": 1.3022700119474313,
|
2296 |
+
"grad_norm": 0.28060171008110046,
|
2297 |
+
"learning_rate": 8.046211526134888e-05,
|
2298 |
+
"loss": 0.0284,
|
2299 |
+
"step": 3270
|
2300 |
+
},
|
2301 |
+
{
|
2302 |
+
"epoch": 1.306252489048188,
|
2303 |
+
"grad_norm": 0.4140307605266571,
|
2304 |
+
"learning_rate": 8.033083140520065e-05,
|
2305 |
+
"loss": 0.027,
|
2306 |
+
"step": 3280
|
2307 |
+
},
|
2308 |
+
{
|
2309 |
+
"epoch": 1.3102349661489447,
|
2310 |
+
"grad_norm": 0.334888756275177,
|
2311 |
+
"learning_rate": 8.019921585593962e-05,
|
2312 |
+
"loss": 0.0295,
|
2313 |
+
"step": 3290
|
2314 |
+
},
|
2315 |
+
{
|
2316 |
+
"epoch": 1.3142174432497014,
|
2317 |
+
"grad_norm": 0.5044397115707397,
|
2318 |
+
"learning_rate": 8.006727005289232e-05,
|
2319 |
+
"loss": 0.0239,
|
2320 |
+
"step": 3300
|
2321 |
+
},
|
2322 |
+
{
|
2323 |
+
"epoch": 1.318199920350458,
|
2324 |
+
"grad_norm": 0.39227598905563354,
|
2325 |
+
"learning_rate": 7.993499543899692e-05,
|
2326 |
+
"loss": 0.029,
|
2327 |
+
"step": 3310
|
2328 |
+
},
|
2329 |
+
{
|
2330 |
+
"epoch": 1.3221823974512146,
|
2331 |
+
"grad_norm": 0.5009192824363708,
|
2332 |
+
"learning_rate": 7.980239346078742e-05,
|
2333 |
+
"loss": 0.0276,
|
2334 |
+
"step": 3320
|
2335 |
+
},
|
2336 |
+
{
|
2337 |
+
"epoch": 1.3261648745519714,
|
2338 |
+
"grad_norm": 0.33442339301109314,
|
2339 |
+
"learning_rate": 7.966946556837778e-05,
|
2340 |
+
"loss": 0.025,
|
2341 |
+
"step": 3330
|
2342 |
+
},
|
2343 |
+
{
|
2344 |
+
"epoch": 1.330147351652728,
|
2345 |
+
"grad_norm": 0.44179999828338623,
|
2346 |
+
"learning_rate": 7.953621321544616e-05,
|
2347 |
+
"loss": 0.0292,
|
2348 |
+
"step": 3340
|
2349 |
+
},
|
2350 |
+
{
|
2351 |
+
"epoch": 1.3341298287534846,
|
2352 |
+
"grad_norm": 0.48963797092437744,
|
2353 |
+
"learning_rate": 7.940263785921896e-05,
|
2354 |
+
"loss": 0.0287,
|
2355 |
+
"step": 3350
|
2356 |
+
},
|
2357 |
+
{
|
2358 |
+
"epoch": 1.3381123058542412,
|
2359 |
+
"grad_norm": 0.35747164487838745,
|
2360 |
+
"learning_rate": 7.926874096045482e-05,
|
2361 |
+
"loss": 0.0257,
|
2362 |
+
"step": 3360
|
2363 |
+
},
|
2364 |
+
{
|
2365 |
+
"epoch": 1.342094782954998,
|
2366 |
+
"grad_norm": 0.6534529328346252,
|
2367 |
+
"learning_rate": 7.913452398342881e-05,
|
2368 |
+
"loss": 0.036,
|
2369 |
+
"step": 3370
|
2370 |
+
},
|
2371 |
+
{
|
2372 |
+
"epoch": 1.3460772600557547,
|
2373 |
+
"grad_norm": 0.4266543686389923,
|
2374 |
+
"learning_rate": 7.89999883959163e-05,
|
2375 |
+
"loss": 0.0307,
|
2376 |
+
"step": 3380
|
2377 |
+
},
|
2378 |
+
{
|
2379 |
+
"epoch": 1.3500597371565113,
|
2380 |
+
"grad_norm": 0.5537866950035095,
|
2381 |
+
"learning_rate": 7.886513566917687e-05,
|
2382 |
+
"loss": 0.0307,
|
2383 |
+
"step": 3390
|
2384 |
+
},
|
2385 |
+
{
|
2386 |
+
"epoch": 1.3540422142572681,
|
2387 |
+
"grad_norm": 0.35446301102638245,
|
2388 |
+
"learning_rate": 7.872996727793838e-05,
|
2389 |
+
"loss": 0.0323,
|
2390 |
+
"step": 3400
|
2391 |
+
},
|
2392 |
+
{
|
2393 |
+
"epoch": 1.3580246913580247,
|
2394 |
+
"grad_norm": 0.4526813328266144,
|
2395 |
+
"learning_rate": 7.859448470038069e-05,
|
2396 |
+
"loss": 0.0275,
|
2397 |
+
"step": 3410
|
2398 |
+
},
|
2399 |
+
{
|
2400 |
+
"epoch": 1.3620071684587813,
|
2401 |
+
"grad_norm": 0.49604639410972595,
|
2402 |
+
"learning_rate": 7.845868941811956e-05,
|
2403 |
+
"loss": 0.0317,
|
2404 |
+
"step": 3420
|
2405 |
+
},
|
2406 |
+
{
|
2407 |
+
"epoch": 1.3659896455595382,
|
2408 |
+
"grad_norm": 0.3144626319408417,
|
2409 |
+
"learning_rate": 7.832258291619043e-05,
|
2410 |
+
"loss": 0.0276,
|
2411 |
+
"step": 3430
|
2412 |
+
},
|
2413 |
+
{
|
2414 |
+
"epoch": 1.3699721226602948,
|
2415 |
+
"grad_norm": 0.5718449354171753,
|
2416 |
+
"learning_rate": 7.81861666830322e-05,
|
2417 |
+
"loss": 0.0261,
|
2418 |
+
"step": 3440
|
2419 |
+
},
|
2420 |
+
{
|
2421 |
+
"epoch": 1.3739545997610514,
|
2422 |
+
"grad_norm": 0.3567497134208679,
|
2423 |
+
"learning_rate": 7.804944221047097e-05,
|
2424 |
+
"loss": 0.027,
|
2425 |
+
"step": 3450
|
2426 |
+
},
|
2427 |
+
{
|
2428 |
+
"epoch": 1.377937076861808,
|
2429 |
+
"grad_norm": 0.5491267442703247,
|
2430 |
+
"learning_rate": 7.791241099370364e-05,
|
2431 |
+
"loss": 0.033,
|
2432 |
+
"step": 3460
|
2433 |
+
},
|
2434 |
+
{
|
2435 |
+
"epoch": 1.3819195539625646,
|
2436 |
+
"grad_norm": 0.46909114718437195,
|
2437 |
+
"learning_rate": 7.777507453128163e-05,
|
2438 |
+
"loss": 0.0298,
|
2439 |
+
"step": 3470
|
2440 |
+
},
|
2441 |
+
{
|
2442 |
+
"epoch": 1.3859020310633214,
|
2443 |
+
"grad_norm": 0.4308125376701355,
|
2444 |
+
"learning_rate": 7.763743432509451e-05,
|
2445 |
+
"loss": 0.0278,
|
2446 |
+
"step": 3480
|
2447 |
+
},
|
2448 |
+
{
|
2449 |
+
"epoch": 1.389884508164078,
|
2450 |
+
"grad_norm": 0.4042797088623047,
|
2451 |
+
"learning_rate": 7.749949188035353e-05,
|
2452 |
+
"loss": 0.0312,
|
2453 |
+
"step": 3490
|
2454 |
+
},
|
2455 |
+
{
|
2456 |
+
"epoch": 1.3938669852648347,
|
2457 |
+
"grad_norm": 0.4012243151664734,
|
2458 |
+
"learning_rate": 7.736124870557516e-05,
|
2459 |
+
"loss": 0.0296,
|
2460 |
+
"step": 3500
|
2461 |
+
},
|
2462 |
+
{
|
2463 |
+
"epoch": 1.3978494623655915,
|
2464 |
+
"grad_norm": 0.31076422333717346,
|
2465 |
+
"learning_rate": 7.722270631256459e-05,
|
2466 |
+
"loss": 0.0306,
|
2467 |
+
"step": 3510
|
2468 |
+
},
|
2469 |
+
{
|
2470 |
+
"epoch": 1.401831939466348,
|
2471 |
+
"grad_norm": 0.4105532467365265,
|
2472 |
+
"learning_rate": 7.708386621639925e-05,
|
2473 |
+
"loss": 0.0262,
|
2474 |
+
"step": 3520
|
2475 |
+
},
|
2476 |
+
{
|
2477 |
+
"epoch": 1.4058144165671047,
|
2478 |
+
"grad_norm": 0.4460810124874115,
|
2479 |
+
"learning_rate": 7.694472993541219e-05,
|
2480 |
+
"loss": 0.0269,
|
2481 |
+
"step": 3530
|
2482 |
+
},
|
2483 |
+
{
|
2484 |
+
"epoch": 1.4097968936678615,
|
2485 |
+
"grad_norm": 0.4327501952648163,
|
2486 |
+
"learning_rate": 7.680529899117547e-05,
|
2487 |
+
"loss": 0.0313,
|
2488 |
+
"step": 3540
|
2489 |
+
},
|
2490 |
+
{
|
2491 |
+
"epoch": 1.4137793707686181,
|
2492 |
+
"grad_norm": 0.4426930248737335,
|
2493 |
+
"learning_rate": 7.666557490848358e-05,
|
2494 |
+
"loss": 0.0289,
|
2495 |
+
"step": 3550
|
2496 |
+
},
|
2497 |
+
{
|
2498 |
+
"epoch": 1.4177618478693748,
|
2499 |
+
"grad_norm": 0.4433678388595581,
|
2500 |
+
"learning_rate": 7.65255592153367e-05,
|
2501 |
+
"loss": 0.0307,
|
2502 |
+
"step": 3560
|
2503 |
+
},
|
2504 |
+
{
|
2505 |
+
"epoch": 1.4217443249701314,
|
2506 |
+
"grad_norm": 0.39277946949005127,
|
2507 |
+
"learning_rate": 7.638525344292402e-05,
|
2508 |
+
"loss": 0.0321,
|
2509 |
+
"step": 3570
|
2510 |
+
},
|
2511 |
+
{
|
2512 |
+
"epoch": 1.425726802070888,
|
2513 |
+
"grad_norm": 0.4349759817123413,
|
2514 |
+
"learning_rate": 7.624465912560697e-05,
|
2515 |
+
"loss": 0.0319,
|
2516 |
+
"step": 3580
|
2517 |
+
},
|
2518 |
+
{
|
2519 |
+
"epoch": 1.4297092791716448,
|
2520 |
+
"grad_norm": 0.36243054270744324,
|
2521 |
+
"learning_rate": 7.610377780090249e-05,
|
2522 |
+
"loss": 0.025,
|
2523 |
+
"step": 3590
|
2524 |
+
},
|
2525 |
+
{
|
2526 |
+
"epoch": 1.4336917562724014,
|
2527 |
+
"grad_norm": 0.23596417903900146,
|
2528 |
+
"learning_rate": 7.596261100946618e-05,
|
2529 |
+
"loss": 0.0274,
|
2530 |
+
"step": 3600
|
2531 |
+
},
|
2532 |
+
{
|
2533 |
+
"epoch": 1.437674233373158,
|
2534 |
+
"grad_norm": 0.3828240633010864,
|
2535 |
+
"learning_rate": 7.582116029507542e-05,
|
2536 |
+
"loss": 0.0259,
|
2537 |
+
"step": 3610
|
2538 |
+
},
|
2539 |
+
{
|
2540 |
+
"epoch": 1.4416567104739149,
|
2541 |
+
"grad_norm": 0.4790317714214325,
|
2542 |
+
"learning_rate": 7.56794272046126e-05,
|
2543 |
+
"loss": 0.0278,
|
2544 |
+
"step": 3620
|
2545 |
+
},
|
2546 |
+
{
|
2547 |
+
"epoch": 1.4456391875746715,
|
2548 |
+
"grad_norm": 0.46134695410728455,
|
2549 |
+
"learning_rate": 7.55374132880481e-05,
|
2550 |
+
"loss": 0.0298,
|
2551 |
+
"step": 3630
|
2552 |
+
},
|
2553 |
+
{
|
2554 |
+
"epoch": 1.449621664675428,
|
2555 |
+
"grad_norm": 0.4513108730316162,
|
2556 |
+
"learning_rate": 7.539512009842333e-05,
|
2557 |
+
"loss": 0.0313,
|
2558 |
+
"step": 3640
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 1.453604141776185,
|
2562 |
+
"grad_norm": 0.5272055268287659,
|
2563 |
+
"learning_rate": 7.525254919183382e-05,
|
2564 |
+
"loss": 0.0283,
|
2565 |
+
"step": 3650
|
2566 |
+
},
|
2567 |
+
{
|
2568 |
+
"epoch": 1.4575866188769415,
|
2569 |
+
"grad_norm": 0.43485143780708313,
|
2570 |
+
"learning_rate": 7.510970212741215e-05,
|
2571 |
+
"loss": 0.0272,
|
2572 |
+
"step": 3660
|
2573 |
+
},
|
2574 |
+
{
|
2575 |
+
"epoch": 1.4615690959776981,
|
2576 |
+
"grad_norm": 0.44522616267204285,
|
2577 |
+
"learning_rate": 7.496658046731096e-05,
|
2578 |
+
"loss": 0.0281,
|
2579 |
+
"step": 3670
|
2580 |
+
},
|
2581 |
+
{
|
2582 |
+
"epoch": 1.4655515730784547,
|
2583 |
+
"grad_norm": 0.7030194997787476,
|
2584 |
+
"learning_rate": 7.482318577668578e-05,
|
2585 |
+
"loss": 0.0336,
|
2586 |
+
"step": 3680
|
2587 |
+
},
|
2588 |
+
{
|
2589 |
+
"epoch": 1.4695340501792113,
|
2590 |
+
"grad_norm": 0.47834673523902893,
|
2591 |
+
"learning_rate": 7.467951962367796e-05,
|
2592 |
+
"loss": 0.0276,
|
2593 |
+
"step": 3690
|
2594 |
+
},
|
2595 |
+
{
|
2596 |
+
"epoch": 1.4735165272799682,
|
2597 |
+
"grad_norm": 0.4326513409614563,
|
2598 |
+
"learning_rate": 7.453558357939755e-05,
|
2599 |
+
"loss": 0.0268,
|
2600 |
+
"step": 3700
|
2601 |
+
},
|
2602 |
+
{
|
2603 |
+
"epoch": 1.4774990043807248,
|
2604 |
+
"grad_norm": 0.4779656231403351,
|
2605 |
+
"learning_rate": 7.439137921790606e-05,
|
2606 |
+
"loss": 0.0322,
|
2607 |
+
"step": 3710
|
2608 |
+
},
|
2609 |
+
{
|
2610 |
+
"epoch": 1.4814814814814814,
|
2611 |
+
"grad_norm": 0.5998985767364502,
|
2612 |
+
"learning_rate": 7.42469081161993e-05,
|
2613 |
+
"loss": 0.0257,
|
2614 |
+
"step": 3720
|
2615 |
+
},
|
2616 |
+
{
|
2617 |
+
"epoch": 1.4854639585822382,
|
2618 |
+
"grad_norm": 0.44799843430519104,
|
2619 |
+
"learning_rate": 7.410217185419006e-05,
|
2620 |
+
"loss": 0.0235,
|
2621 |
+
"step": 3730
|
2622 |
+
},
|
2623 |
+
{
|
2624 |
+
"epoch": 1.4894464356829948,
|
2625 |
+
"grad_norm": 0.335964560508728,
|
2626 |
+
"learning_rate": 7.395717201469095e-05,
|
2627 |
+
"loss": 0.0286,
|
2628 |
+
"step": 3740
|
2629 |
+
},
|
2630 |
+
{
|
2631 |
+
"epoch": 1.4934289127837514,
|
2632 |
+
"grad_norm": 0.5583806037902832,
|
2633 |
+
"learning_rate": 7.381191018339696e-05,
|
2634 |
+
"loss": 0.0292,
|
2635 |
+
"step": 3750
|
2636 |
+
},
|
2637 |
+
{
|
2638 |
+
"epoch": 1.4974113898845083,
|
2639 |
+
"grad_norm": 0.40853527188301086,
|
2640 |
+
"learning_rate": 7.36663879488682e-05,
|
2641 |
+
"loss": 0.024,
|
2642 |
+
"step": 3760
|
2643 |
+
},
|
2644 |
+
{
|
2645 |
+
"epoch": 1.5013938669852647,
|
2646 |
+
"grad_norm": 0.5366830825805664,
|
2647 |
+
"learning_rate": 7.352060690251254e-05,
|
2648 |
+
"loss": 0.0278,
|
2649 |
+
"step": 3770
|
2650 |
+
},
|
2651 |
+
{
|
2652 |
+
"epoch": 1.5053763440860215,
|
2653 |
+
"grad_norm": 0.5075726509094238,
|
2654 |
+
"learning_rate": 7.337456863856811e-05,
|
2655 |
+
"loss": 0.031,
|
2656 |
+
"step": 3780
|
2657 |
+
},
|
2658 |
+
{
|
2659 |
+
"epoch": 1.5093588211867783,
|
2660 |
+
"grad_norm": 0.4533558487892151,
|
2661 |
+
"learning_rate": 7.3228274754086e-05,
|
2662 |
+
"loss": 0.0232,
|
2663 |
+
"step": 3790
|
2664 |
+
},
|
2665 |
+
{
|
2666 |
+
"epoch": 1.5133412982875347,
|
2667 |
+
"grad_norm": 0.4715867340564728,
|
2668 |
+
"learning_rate": 7.308172684891267e-05,
|
2669 |
+
"loss": 0.0319,
|
2670 |
+
"step": 3800
|
2671 |
+
},
|
2672 |
+
{
|
2673 |
+
"epoch": 1.5173237753882916,
|
2674 |
+
"grad_norm": 0.2563737630844116,
|
2675 |
+
"learning_rate": 7.293492652567255e-05,
|
2676 |
+
"loss": 0.0239,
|
2677 |
+
"step": 3810
|
2678 |
+
},
|
2679 |
+
{
|
2680 |
+
"epoch": 1.5213062524890482,
|
2681 |
+
"grad_norm": 0.3013695478439331,
|
2682 |
+
"learning_rate": 7.278787538975043e-05,
|
2683 |
+
"loss": 0.0302,
|
2684 |
+
"step": 3820
|
2685 |
+
},
|
2686 |
+
{
|
2687 |
+
"epoch": 1.5252887295898048,
|
2688 |
+
"grad_norm": 0.39960938692092896,
|
2689 |
+
"learning_rate": 7.2640575049274e-05,
|
2690 |
+
"loss": 0.0251,
|
2691 |
+
"step": 3830
|
2692 |
+
},
|
2693 |
+
{
|
2694 |
+
"epoch": 1.5292712066905616,
|
2695 |
+
"grad_norm": 0.380015105009079,
|
2696 |
+
"learning_rate": 7.249302711509616e-05,
|
2697 |
+
"loss": 0.0231,
|
2698 |
+
"step": 3840
|
2699 |
+
},
|
2700 |
+
{
|
2701 |
+
"epoch": 1.5332536837913182,
|
2702 |
+
"grad_norm": 0.2648374140262604,
|
2703 |
+
"learning_rate": 7.23452332007775e-05,
|
2704 |
+
"loss": 0.0225,
|
2705 |
+
"step": 3850
|
2706 |
+
},
|
2707 |
+
{
|
2708 |
+
"epoch": 1.5372361608920748,
|
2709 |
+
"grad_norm": 0.32741981744766235,
|
2710 |
+
"learning_rate": 7.219719492256858e-05,
|
2711 |
+
"loss": 0.0272,
|
2712 |
+
"step": 3860
|
2713 |
+
},
|
2714 |
+
{
|
2715 |
+
"epoch": 1.5412186379928317,
|
2716 |
+
"grad_norm": 0.5281572341918945,
|
2717 |
+
"learning_rate": 7.20489138993923e-05,
|
2718 |
+
"loss": 0.025,
|
2719 |
+
"step": 3870
|
2720 |
+
},
|
2721 |
+
{
|
2722 |
+
"epoch": 1.5452011150935883,
|
2723 |
+
"grad_norm": 0.3067561388015747,
|
2724 |
+
"learning_rate": 7.190039175282614e-05,
|
2725 |
+
"loss": 0.0261,
|
2726 |
+
"step": 3880
|
2727 |
+
},
|
2728 |
+
{
|
2729 |
+
"epoch": 1.5491835921943449,
|
2730 |
+
"grad_norm": 0.4421009421348572,
|
2731 |
+
"learning_rate": 7.175163010708455e-05,
|
2732 |
+
"loss": 0.0245,
|
2733 |
+
"step": 3890
|
2734 |
+
},
|
2735 |
+
{
|
2736 |
+
"epoch": 1.5531660692951017,
|
2737 |
+
"grad_norm": 0.3433239758014679,
|
2738 |
+
"learning_rate": 7.1602630589001e-05,
|
2739 |
+
"loss": 0.027,
|
2740 |
+
"step": 3900
|
2741 |
+
},
|
2742 |
+
{
|
2743 |
+
"epoch": 1.557148546395858,
|
2744 |
+
"grad_norm": 0.30050766468048096,
|
2745 |
+
"learning_rate": 7.14533948280104e-05,
|
2746 |
+
"loss": 0.0269,
|
2747 |
+
"step": 3910
|
2748 |
+
},
|
2749 |
+
{
|
2750 |
+
"epoch": 1.561131023496615,
|
2751 |
+
"grad_norm": 0.3128851056098938,
|
2752 |
+
"learning_rate": 7.130392445613109e-05,
|
2753 |
+
"loss": 0.03,
|
2754 |
+
"step": 3920
|
2755 |
+
},
|
2756 |
+
{
|
2757 |
+
"epoch": 1.5651135005973715,
|
2758 |
+
"grad_norm": 0.3643544912338257,
|
2759 |
+
"learning_rate": 7.115422110794711e-05,
|
2760 |
+
"loss": 0.0278,
|
2761 |
+
"step": 3930
|
2762 |
+
},
|
2763 |
+
{
|
2764 |
+
"epoch": 1.5690959776981281,
|
2765 |
+
"grad_norm": 0.4426794648170471,
|
2766 |
+
"learning_rate": 7.100428642059033e-05,
|
2767 |
+
"loss": 0.0303,
|
2768 |
+
"step": 3940
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 1.573078454798885,
|
2772 |
+
"grad_norm": 0.3874496817588806,
|
2773 |
+
"learning_rate": 7.08541220337224e-05,
|
2774 |
+
"loss": 0.0277,
|
2775 |
+
"step": 3950
|
2776 |
+
},
|
2777 |
+
{
|
2778 |
+
"epoch": 1.5770609318996416,
|
2779 |
+
"grad_norm": 0.3397146761417389,
|
2780 |
+
"learning_rate": 7.070372958951706e-05,
|
2781 |
+
"loss": 0.0271,
|
2782 |
+
"step": 3960
|
2783 |
+
},
|
2784 |
+
{
|
2785 |
+
"epoch": 1.5810434090003982,
|
2786 |
+
"grad_norm": 0.6062551736831665,
|
2787 |
+
"learning_rate": 7.055311073264194e-05,
|
2788 |
+
"loss": 0.0334,
|
2789 |
+
"step": 3970
|
2790 |
+
},
|
2791 |
+
{
|
2792 |
+
"epoch": 1.585025886101155,
|
2793 |
+
"grad_norm": 0.2893720269203186,
|
2794 |
+
"learning_rate": 7.040226711024077e-05,
|
2795 |
+
"loss": 0.0276,
|
2796 |
+
"step": 3980
|
2797 |
+
},
|
2798 |
+
{
|
2799 |
+
"epoch": 1.5890083632019116,
|
2800 |
+
"grad_norm": 0.28936243057250977,
|
2801 |
+
"learning_rate": 7.02512003719152e-05,
|
2802 |
+
"loss": 0.0239,
|
2803 |
+
"step": 3990
|
2804 |
+
},
|
2805 |
+
{
|
2806 |
+
"epoch": 1.5929908403026682,
|
2807 |
+
"grad_norm": 0.4626624286174774,
|
2808 |
+
"learning_rate": 7.00999121697069e-05,
|
2809 |
+
"loss": 0.0304,
|
2810 |
+
"step": 4000
|
2811 |
+
}
|
2812 |
+
],
|
2813 |
+
"logging_steps": 10,
|
2814 |
+
"max_steps": 10000,
|
2815 |
+
"num_input_tokens_seen": 0,
|
2816 |
+
"num_train_epochs": 4,
|
2817 |
+
"save_steps": 1000,
|
2818 |
+
"stateful_callbacks": {
|
2819 |
+
"TrainerControl": {
|
2820 |
+
"args": {
|
2821 |
+
"should_epoch_stop": false,
|
2822 |
+
"should_evaluate": false,
|
2823 |
+
"should_log": false,
|
2824 |
+
"should_save": true,
|
2825 |
+
"should_training_stop": false
|
2826 |
+
},
|
2827 |
+
"attributes": {}
|
2828 |
+
}
|
2829 |
+
},
|
2830 |
+
"total_flos": 0.0,
|
2831 |
+
"train_batch_size": 32,
|
2832 |
+
"trial_name": null,
|
2833 |
+
"trial_params": null
|
2834 |
+
}
|
checkpoint-5000/config.json
ADDED
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"action_dim": 32,
|
3 |
+
"action_head_cfg": {
|
4 |
+
"action_dim": 32,
|
5 |
+
"action_horizon": 16,
|
6 |
+
"add_pos_embed": true,
|
7 |
+
"backbone_embedding_dim": 2048,
|
8 |
+
"diffusion_model_cfg": {
|
9 |
+
"attention_head_dim": 48,
|
10 |
+
"cross_attention_dim": 2048,
|
11 |
+
"dropout": 0.2,
|
12 |
+
"final_dropout": true,
|
13 |
+
"interleave_self_attention": true,
|
14 |
+
"norm_type": "ada_norm",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_layers": 16,
|
17 |
+
"output_dim": 1024,
|
18 |
+
"positional_embeddings": null
|
19 |
+
},
|
20 |
+
"hidden_size": 1024,
|
21 |
+
"input_embedding_dim": 1536,
|
22 |
+
"max_action_dim": 32,
|
23 |
+
"max_state_dim": 64,
|
24 |
+
"model_dtype": "float32",
|
25 |
+
"noise_beta_alpha": 1.5,
|
26 |
+
"noise_beta_beta": 1.0,
|
27 |
+
"noise_s": 0.999,
|
28 |
+
"num_inference_timesteps": 4,
|
29 |
+
"num_target_vision_tokens": 32,
|
30 |
+
"num_timestep_buckets": 1000,
|
31 |
+
"tune_diffusion_model": true,
|
32 |
+
"tune_projector": true,
|
33 |
+
"use_vlln": true,
|
34 |
+
"vl_self_attention_cfg": {
|
35 |
+
"attention_head_dim": 64,
|
36 |
+
"dropout": 0.2,
|
37 |
+
"final_dropout": true,
|
38 |
+
"num_attention_heads": 32,
|
39 |
+
"num_layers": 4,
|
40 |
+
"positional_embeddings": null
|
41 |
+
}
|
42 |
+
},
|
43 |
+
"action_horizon": 16,
|
44 |
+
"architectures": [
|
45 |
+
"GR00T_N1_5"
|
46 |
+
],
|
47 |
+
"attn_implementation": null,
|
48 |
+
"backbone_cfg": {
|
49 |
+
"eagle_path": "NVEagle/eagle_er-qwen3_1_7B-Siglip2_400M_stage1_5_128gpu_er_v7_1mlp_nops",
|
50 |
+
"load_bf16": false,
|
51 |
+
"project_to_dim": null,
|
52 |
+
"reproject_vision": false,
|
53 |
+
"select_layer": 12,
|
54 |
+
"tune_llm": false,
|
55 |
+
"tune_visual": true,
|
56 |
+
"use_flash_attention": true
|
57 |
+
},
|
58 |
+
"compute_dtype": "bfloat16",
|
59 |
+
"hidden_size": 2048,
|
60 |
+
"model_dtype": "float32",
|
61 |
+
"model_type": "gr00t_n1_5",
|
62 |
+
"torch_dtype": "bfloat16",
|
63 |
+
"transformers_version": "4.51.3"
|
64 |
+
}
|
checkpoint-5000/experiment_cfg/metadata.json
ADDED
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"new_embodiment": {
|
3 |
+
"statistics": {
|
4 |
+
"state": {
|
5 |
+
"single_arm": {
|
6 |
+
"max": [
|
7 |
+
33.22265625,
|
8 |
+
86.1328125,
|
9 |
+
84.7265625,
|
10 |
+
101.337890625,
|
11 |
+
32.783203125
|
12 |
+
],
|
13 |
+
"min": [
|
14 |
+
-87.275390625,
|
15 |
+
-103.974609375,
|
16 |
+
-106.435546875,
|
17 |
+
-16.34765625,
|
18 |
+
-170.068359375
|
19 |
+
],
|
20 |
+
"mean": [
|
21 |
+
-26.84341812133789,
|
22 |
+
6.497307777404785,
|
23 |
+
-22.14896583557129,
|
24 |
+
74.85757446289062,
|
25 |
+
-111.02351379394531
|
26 |
+
],
|
27 |
+
"std": [
|
28 |
+
27.50257110595703,
|
29 |
+
41.151065826416016,
|
30 |
+
48.41417694091797,
|
31 |
+
20.208982467651367,
|
32 |
+
46.13625717163086
|
33 |
+
],
|
34 |
+
"q01": [
|
35 |
+
-79.013671875,
|
36 |
+
-103.271484375,
|
37 |
+
-104.0625,
|
38 |
+
19.187402343750005,
|
39 |
+
-169.892578125
|
40 |
+
],
|
41 |
+
"q99": [
|
42 |
+
24.169921875,
|
43 |
+
73.30078125,
|
44 |
+
84.375,
|
45 |
+
101.07421875,
|
46 |
+
11.162109375
|
47 |
+
]
|
48 |
+
},
|
49 |
+
"gripper": {
|
50 |
+
"max": [
|
51 |
+
92.373046875
|
52 |
+
],
|
53 |
+
"min": [
|
54 |
+
-0.615234375
|
55 |
+
],
|
56 |
+
"mean": [
|
57 |
+
14.521344184875488
|
58 |
+
],
|
59 |
+
"std": [
|
60 |
+
13.066176414489746
|
61 |
+
],
|
62 |
+
"q01": [
|
63 |
+
0.0
|
64 |
+
],
|
65 |
+
"q99": [
|
66 |
+
52.470703125
|
67 |
+
]
|
68 |
+
}
|
69 |
+
},
|
70 |
+
"action": {
|
71 |
+
"single_arm": {
|
72 |
+
"max": [
|
73 |
+
33.662109375,
|
74 |
+
86.484375,
|
75 |
+
85.078125,
|
76 |
+
102.65625,
|
77 |
+
33.3984375
|
78 |
+
],
|
79 |
+
"min": [
|
80 |
+
-87.890625,
|
81 |
+
-104.4140625,
|
82 |
+
-110.7421875,
|
83 |
+
-19.599609375,
|
84 |
+
-173.3203125
|
85 |
+
],
|
86 |
+
"mean": [
|
87 |
+
-26.84657096862793,
|
88 |
+
4.594353199005127,
|
89 |
+
-23.747364044189453,
|
90 |
+
74.75859832763672,
|
91 |
+
-111.30194854736328
|
92 |
+
],
|
93 |
+
"std": [
|
94 |
+
27.627857208251953,
|
95 |
+
40.672019958496094,
|
96 |
+
48.966896057128906,
|
97 |
+
20.728727340698242,
|
98 |
+
46.57689666748047
|
99 |
+
],
|
100 |
+
"q01": [
|
101 |
+
-79.453125,
|
102 |
+
-102.744140625,
|
103 |
+
-109.6875,
|
104 |
+
17.9296875,
|
105 |
+
-172.177734375
|
106 |
+
],
|
107 |
+
"q99": [
|
108 |
+
24.08203125,
|
109 |
+
72.685546875,
|
110 |
+
83.84765625,
|
111 |
+
101.77734375,
|
112 |
+
10.72265625
|
113 |
+
]
|
114 |
+
},
|
115 |
+
"gripper": {
|
116 |
+
"max": [
|
117 |
+
92.63671875
|
118 |
+
],
|
119 |
+
"min": [
|
120 |
+
-3.076171875
|
121 |
+
],
|
122 |
+
"mean": [
|
123 |
+
12.46182632446289
|
124 |
+
],
|
125 |
+
"std": [
|
126 |
+
14.029601097106934
|
127 |
+
],
|
128 |
+
"q01": [
|
129 |
+
-0.52734375
|
130 |
+
],
|
131 |
+
"q99": [
|
132 |
+
52.91015625
|
133 |
+
]
|
134 |
+
}
|
135 |
+
}
|
136 |
+
},
|
137 |
+
"modalities": {
|
138 |
+
"video": {
|
139 |
+
"front": {
|
140 |
+
"resolution": [
|
141 |
+
640,
|
142 |
+
480
|
143 |
+
],
|
144 |
+
"channels": 3,
|
145 |
+
"fps": 30.0
|
146 |
+
},
|
147 |
+
"laptop": {
|
148 |
+
"resolution": [
|
149 |
+
640,
|
150 |
+
480
|
151 |
+
],
|
152 |
+
"channels": 3,
|
153 |
+
"fps": 30.0
|
154 |
+
}
|
155 |
+
},
|
156 |
+
"state": {
|
157 |
+
"single_arm": {
|
158 |
+
"absolute": true,
|
159 |
+
"rotation_type": null,
|
160 |
+
"shape": [
|
161 |
+
5
|
162 |
+
],
|
163 |
+
"continuous": true
|
164 |
+
},
|
165 |
+
"gripper": {
|
166 |
+
"absolute": true,
|
167 |
+
"rotation_type": null,
|
168 |
+
"shape": [
|
169 |
+
1
|
170 |
+
],
|
171 |
+
"continuous": true
|
172 |
+
}
|
173 |
+
},
|
174 |
+
"action": {
|
175 |
+
"single_arm": {
|
176 |
+
"absolute": true,
|
177 |
+
"rotation_type": null,
|
178 |
+
"shape": [
|
179 |
+
5
|
180 |
+
],
|
181 |
+
"continuous": true
|
182 |
+
},
|
183 |
+
"gripper": {
|
184 |
+
"absolute": true,
|
185 |
+
"rotation_type": null,
|
186 |
+
"shape": [
|
187 |
+
1
|
188 |
+
],
|
189 |
+
"continuous": true
|
190 |
+
}
|
191 |
+
}
|
192 |
+
},
|
193 |
+
"embodiment_tag": "new_embodiment"
|
194 |
+
}
|
195 |
+
}
|
checkpoint-5000/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0e65895a7b6c052e58b679bdd68bff54a68694a81f38e23d3e03a92059b3600b
|
3 |
+
size 4999367032
|
checkpoint-5000/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:942142544a489d10a803779874cba9a1ec18d2cc3ccabfe9f5c2879f5eedfe04
|
3 |
+
size 2586705312
|
checkpoint-5000/model.safetensors.index.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-5000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:135deb8770b61632d6a636310cc1589a33722ffdda34d98861c3ee95512da7ac
|
3 |
+
size 4147424698
|
checkpoint-5000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e89704cf03f557538e476cee66579fbaadf78bed5388d837bfa424566e8e0755
|
3 |
+
size 14244
|
checkpoint-5000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f3860515cdc95c999d5fee0e8633bc5123ccc0bc4f65d625f0a33425450fa0f7
|
3 |
+
size 1064
|
checkpoint-5000/trainer_state.json
ADDED
@@ -0,0 +1,3534 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 1.9912385503783354,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 5000,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.00398247710075667,
|
14 |
+
"grad_norm": 10.328946113586426,
|
15 |
+
"learning_rate": 1.8e-06,
|
16 |
+
"loss": 0.9415,
|
17 |
+
"step": 10
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.00796495420151334,
|
21 |
+
"grad_norm": 6.881450176239014,
|
22 |
+
"learning_rate": 3.8e-06,
|
23 |
+
"loss": 0.8639,
|
24 |
+
"step": 20
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.011947431302270013,
|
28 |
+
"grad_norm": 2.251582384109497,
|
29 |
+
"learning_rate": 5.8e-06,
|
30 |
+
"loss": 0.4771,
|
31 |
+
"step": 30
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.01592990840302668,
|
35 |
+
"grad_norm": 1.6325163841247559,
|
36 |
+
"learning_rate": 7.8e-06,
|
37 |
+
"loss": 0.2953,
|
38 |
+
"step": 40
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.019912385503783353,
|
42 |
+
"grad_norm": 0.9643872976303101,
|
43 |
+
"learning_rate": 9.800000000000001e-06,
|
44 |
+
"loss": 0.2403,
|
45 |
+
"step": 50
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.023894862604540025,
|
49 |
+
"grad_norm": 1.4014142751693726,
|
50 |
+
"learning_rate": 1.18e-05,
|
51 |
+
"loss": 0.2213,
|
52 |
+
"step": 60
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.027877339705296694,
|
56 |
+
"grad_norm": 1.3301987648010254,
|
57 |
+
"learning_rate": 1.3800000000000002e-05,
|
58 |
+
"loss": 0.2048,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.03185981680605336,
|
63 |
+
"grad_norm": 1.5023683309555054,
|
64 |
+
"learning_rate": 1.58e-05,
|
65 |
+
"loss": 0.1658,
|
66 |
+
"step": 80
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.035842293906810034,
|
70 |
+
"grad_norm": 1.7575840950012207,
|
71 |
+
"learning_rate": 1.78e-05,
|
72 |
+
"loss": 0.146,
|
73 |
+
"step": 90
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.039824771007566706,
|
77 |
+
"grad_norm": 1.4768755435943604,
|
78 |
+
"learning_rate": 1.9800000000000004e-05,
|
79 |
+
"loss": 0.154,
|
80 |
+
"step": 100
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.04380724810832338,
|
84 |
+
"grad_norm": 1.43697988986969,
|
85 |
+
"learning_rate": 2.18e-05,
|
86 |
+
"loss": 0.1419,
|
87 |
+
"step": 110
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.04778972520908005,
|
91 |
+
"grad_norm": 1.6363322734832764,
|
92 |
+
"learning_rate": 2.38e-05,
|
93 |
+
"loss": 0.1243,
|
94 |
+
"step": 120
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.051772202309836715,
|
98 |
+
"grad_norm": 1.29106605052948,
|
99 |
+
"learning_rate": 2.58e-05,
|
100 |
+
"loss": 0.1273,
|
101 |
+
"step": 130
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.05575467941059339,
|
105 |
+
"grad_norm": 0.849351704120636,
|
106 |
+
"learning_rate": 2.7800000000000005e-05,
|
107 |
+
"loss": 0.1199,
|
108 |
+
"step": 140
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.05973715651135006,
|
112 |
+
"grad_norm": 1.442665934562683,
|
113 |
+
"learning_rate": 2.98e-05,
|
114 |
+
"loss": 0.1068,
|
115 |
+
"step": 150
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.06371963361210672,
|
119 |
+
"grad_norm": 1.277969241142273,
|
120 |
+
"learning_rate": 3.18e-05,
|
121 |
+
"loss": 0.11,
|
122 |
+
"step": 160
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.0677021107128634,
|
126 |
+
"grad_norm": 1.636638879776001,
|
127 |
+
"learning_rate": 3.38e-05,
|
128 |
+
"loss": 0.1001,
|
129 |
+
"step": 170
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.07168458781362007,
|
133 |
+
"grad_norm": 1.0019601583480835,
|
134 |
+
"learning_rate": 3.58e-05,
|
135 |
+
"loss": 0.1126,
|
136 |
+
"step": 180
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.07566706491437675,
|
140 |
+
"grad_norm": 0.9693198204040527,
|
141 |
+
"learning_rate": 3.7800000000000004e-05,
|
142 |
+
"loss": 0.0867,
|
143 |
+
"step": 190
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.07964954201513341,
|
147 |
+
"grad_norm": 0.7893789410591125,
|
148 |
+
"learning_rate": 3.9800000000000005e-05,
|
149 |
+
"loss": 0.1002,
|
150 |
+
"step": 200
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.08363201911589008,
|
154 |
+
"grad_norm": 1.736881136894226,
|
155 |
+
"learning_rate": 4.18e-05,
|
156 |
+
"loss": 0.1015,
|
157 |
+
"step": 210
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.08761449621664676,
|
161 |
+
"grad_norm": 0.7016027569770813,
|
162 |
+
"learning_rate": 4.38e-05,
|
163 |
+
"loss": 0.0895,
|
164 |
+
"step": 220
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.09159697331740342,
|
168 |
+
"grad_norm": 1.6043905019760132,
|
169 |
+
"learning_rate": 4.58e-05,
|
170 |
+
"loss": 0.0857,
|
171 |
+
"step": 230
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.0955794504181601,
|
175 |
+
"grad_norm": 1.4260313510894775,
|
176 |
+
"learning_rate": 4.78e-05,
|
177 |
+
"loss": 0.0818,
|
178 |
+
"step": 240
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.09956192751891677,
|
182 |
+
"grad_norm": 0.9992408156394958,
|
183 |
+
"learning_rate": 4.9800000000000004e-05,
|
184 |
+
"loss": 0.0763,
|
185 |
+
"step": 250
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.10354440461967343,
|
189 |
+
"grad_norm": 0.5259194374084473,
|
190 |
+
"learning_rate": 5.1800000000000005e-05,
|
191 |
+
"loss": 0.0728,
|
192 |
+
"step": 260
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.10752688172043011,
|
196 |
+
"grad_norm": 0.8904138207435608,
|
197 |
+
"learning_rate": 5.380000000000001e-05,
|
198 |
+
"loss": 0.0741,
|
199 |
+
"step": 270
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.11150935882118677,
|
203 |
+
"grad_norm": 0.8944669961929321,
|
204 |
+
"learning_rate": 5.580000000000001e-05,
|
205 |
+
"loss": 0.0646,
|
206 |
+
"step": 280
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.11549183592194345,
|
210 |
+
"grad_norm": 1.0091243982315063,
|
211 |
+
"learning_rate": 5.7799999999999995e-05,
|
212 |
+
"loss": 0.07,
|
213 |
+
"step": 290
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.11947431302270012,
|
217 |
+
"grad_norm": 0.7492197155952454,
|
218 |
+
"learning_rate": 5.9800000000000003e-05,
|
219 |
+
"loss": 0.0726,
|
220 |
+
"step": 300
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.12345679012345678,
|
224 |
+
"grad_norm": 0.9669196605682373,
|
225 |
+
"learning_rate": 6.18e-05,
|
226 |
+
"loss": 0.068,
|
227 |
+
"step": 310
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.12743926722421345,
|
231 |
+
"grad_norm": 0.8658894896507263,
|
232 |
+
"learning_rate": 6.38e-05,
|
233 |
+
"loss": 0.0605,
|
234 |
+
"step": 320
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.13142174432497014,
|
238 |
+
"grad_norm": 0.6594343185424805,
|
239 |
+
"learning_rate": 6.58e-05,
|
240 |
+
"loss": 0.06,
|
241 |
+
"step": 330
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.1354042214257268,
|
245 |
+
"grad_norm": 0.9863249659538269,
|
246 |
+
"learning_rate": 6.780000000000001e-05,
|
247 |
+
"loss": 0.0582,
|
248 |
+
"step": 340
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.13938669852648347,
|
252 |
+
"grad_norm": 0.8012584447860718,
|
253 |
+
"learning_rate": 6.98e-05,
|
254 |
+
"loss": 0.0581,
|
255 |
+
"step": 350
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.14336917562724014,
|
259 |
+
"grad_norm": 0.8694135546684265,
|
260 |
+
"learning_rate": 7.18e-05,
|
261 |
+
"loss": 0.06,
|
262 |
+
"step": 360
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.1473516527279968,
|
266 |
+
"grad_norm": 0.8341110944747925,
|
267 |
+
"learning_rate": 7.38e-05,
|
268 |
+
"loss": 0.0551,
|
269 |
+
"step": 370
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.1513341298287535,
|
273 |
+
"grad_norm": 0.8546151518821716,
|
274 |
+
"learning_rate": 7.58e-05,
|
275 |
+
"loss": 0.0504,
|
276 |
+
"step": 380
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.15531660692951016,
|
280 |
+
"grad_norm": 0.8565087914466858,
|
281 |
+
"learning_rate": 7.780000000000001e-05,
|
282 |
+
"loss": 0.0544,
|
283 |
+
"step": 390
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.15929908403026682,
|
287 |
+
"grad_norm": 0.9835138320922852,
|
288 |
+
"learning_rate": 7.98e-05,
|
289 |
+
"loss": 0.0528,
|
290 |
+
"step": 400
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.1632815611310235,
|
294 |
+
"grad_norm": 0.9852800965309143,
|
295 |
+
"learning_rate": 8.18e-05,
|
296 |
+
"loss": 0.0556,
|
297 |
+
"step": 410
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.16726403823178015,
|
301 |
+
"grad_norm": 0.9271975755691528,
|
302 |
+
"learning_rate": 8.38e-05,
|
303 |
+
"loss": 0.053,
|
304 |
+
"step": 420
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.17124651533253685,
|
308 |
+
"grad_norm": 0.843838632106781,
|
309 |
+
"learning_rate": 8.58e-05,
|
310 |
+
"loss": 0.0536,
|
311 |
+
"step": 430
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.1752289924332935,
|
315 |
+
"grad_norm": 0.6337900161743164,
|
316 |
+
"learning_rate": 8.78e-05,
|
317 |
+
"loss": 0.0501,
|
318 |
+
"step": 440
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.17921146953405018,
|
322 |
+
"grad_norm": 0.8339642882347107,
|
323 |
+
"learning_rate": 8.98e-05,
|
324 |
+
"loss": 0.0535,
|
325 |
+
"step": 450
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.18319394663480684,
|
329 |
+
"grad_norm": 0.8911416530609131,
|
330 |
+
"learning_rate": 9.180000000000001e-05,
|
331 |
+
"loss": 0.0599,
|
332 |
+
"step": 460
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.1871764237355635,
|
336 |
+
"grad_norm": 0.7793362736701965,
|
337 |
+
"learning_rate": 9.38e-05,
|
338 |
+
"loss": 0.0585,
|
339 |
+
"step": 470
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.1911589008363202,
|
343 |
+
"grad_norm": 1.1783093214035034,
|
344 |
+
"learning_rate": 9.58e-05,
|
345 |
+
"loss": 0.0509,
|
346 |
+
"step": 480
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.19514137793707687,
|
350 |
+
"grad_norm": 0.9017106294631958,
|
351 |
+
"learning_rate": 9.78e-05,
|
352 |
+
"loss": 0.0558,
|
353 |
+
"step": 490
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.19912385503783353,
|
357 |
+
"grad_norm": 1.0761146545410156,
|
358 |
+
"learning_rate": 9.98e-05,
|
359 |
+
"loss": 0.0519,
|
360 |
+
"step": 500
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.2031063321385902,
|
364 |
+
"grad_norm": 0.5883626937866211,
|
365 |
+
"learning_rate": 9.9999778549206e-05,
|
366 |
+
"loss": 0.0527,
|
367 |
+
"step": 510
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.20708880923934686,
|
371 |
+
"grad_norm": 0.6159175634384155,
|
372 |
+
"learning_rate": 9.999901304280685e-05,
|
373 |
+
"loss": 0.0488,
|
374 |
+
"step": 520
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.21107128634010355,
|
378 |
+
"grad_norm": 0.6942933797836304,
|
379 |
+
"learning_rate": 9.999770075521164e-05,
|
380 |
+
"loss": 0.0524,
|
381 |
+
"step": 530
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.21505376344086022,
|
385 |
+
"grad_norm": 1.0295978784561157,
|
386 |
+
"learning_rate": 9.99958417007713e-05,
|
387 |
+
"loss": 0.049,
|
388 |
+
"step": 540
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.21903624054161688,
|
392 |
+
"grad_norm": 0.7261350154876709,
|
393 |
+
"learning_rate": 9.999343589981615e-05,
|
394 |
+
"loss": 0.0467,
|
395 |
+
"step": 550
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.22301871764237355,
|
399 |
+
"grad_norm": 0.7238365411758423,
|
400 |
+
"learning_rate": 9.999048337865568e-05,
|
401 |
+
"loss": 0.0477,
|
402 |
+
"step": 560
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.2270011947431302,
|
406 |
+
"grad_norm": 1.1104141473770142,
|
407 |
+
"learning_rate": 9.998698416957815e-05,
|
408 |
+
"loss": 0.0519,
|
409 |
+
"step": 570
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.2309836718438869,
|
413 |
+
"grad_norm": 1.2086730003356934,
|
414 |
+
"learning_rate": 9.998293831085037e-05,
|
415 |
+
"loss": 0.0524,
|
416 |
+
"step": 580
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.23496614894464357,
|
420 |
+
"grad_norm": 0.5849373936653137,
|
421 |
+
"learning_rate": 9.997834584671719e-05,
|
422 |
+
"loss": 0.0514,
|
423 |
+
"step": 590
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.23894862604540024,
|
427 |
+
"grad_norm": 0.9337085485458374,
|
428 |
+
"learning_rate": 9.997320682740107e-05,
|
429 |
+
"loss": 0.0565,
|
430 |
+
"step": 600
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.2429311031461569,
|
434 |
+
"grad_norm": 0.7592830061912537,
|
435 |
+
"learning_rate": 9.996752130910149e-05,
|
436 |
+
"loss": 0.0521,
|
437 |
+
"step": 610
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.24691358024691357,
|
441 |
+
"grad_norm": 0.8495620489120483,
|
442 |
+
"learning_rate": 9.99612893539944e-05,
|
443 |
+
"loss": 0.0501,
|
444 |
+
"step": 620
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.25089605734767023,
|
448 |
+
"grad_norm": 0.44615253806114197,
|
449 |
+
"learning_rate": 9.995451103023144e-05,
|
450 |
+
"loss": 0.0428,
|
451 |
+
"step": 630
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.2548785344484269,
|
455 |
+
"grad_norm": 1.046374797821045,
|
456 |
+
"learning_rate": 9.994718641193928e-05,
|
457 |
+
"loss": 0.0459,
|
458 |
+
"step": 640
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.2588610115491836,
|
462 |
+
"grad_norm": 0.7210455536842346,
|
463 |
+
"learning_rate": 9.993931557921874e-05,
|
464 |
+
"loss": 0.0508,
|
465 |
+
"step": 650
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.2628434886499403,
|
469 |
+
"grad_norm": 0.7506885528564453,
|
470 |
+
"learning_rate": 9.993089861814402e-05,
|
471 |
+
"loss": 0.0499,
|
472 |
+
"step": 660
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.26682596575069695,
|
476 |
+
"grad_norm": 0.6320833563804626,
|
477 |
+
"learning_rate": 9.992193562076166e-05,
|
478 |
+
"loss": 0.0579,
|
479 |
+
"step": 670
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.2708084428514536,
|
483 |
+
"grad_norm": 0.48116907477378845,
|
484 |
+
"learning_rate": 9.991242668508954e-05,
|
485 |
+
"loss": 0.0533,
|
486 |
+
"step": 680
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.2747909199522103,
|
490 |
+
"grad_norm": 0.5594539046287537,
|
491 |
+
"learning_rate": 9.990237191511587e-05,
|
492 |
+
"loss": 0.0479,
|
493 |
+
"step": 690
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.27877339705296694,
|
497 |
+
"grad_norm": 0.6126905083656311,
|
498 |
+
"learning_rate": 9.989177142079802e-05,
|
499 |
+
"loss": 0.0449,
|
500 |
+
"step": 700
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.2827558741537236,
|
504 |
+
"grad_norm": 0.8031131625175476,
|
505 |
+
"learning_rate": 9.988062531806126e-05,
|
506 |
+
"loss": 0.0485,
|
507 |
+
"step": 710
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.2867383512544803,
|
511 |
+
"grad_norm": 0.4269757568836212,
|
512 |
+
"learning_rate": 9.986893372879762e-05,
|
513 |
+
"loss": 0.0463,
|
514 |
+
"step": 720
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.29072082835523694,
|
518 |
+
"grad_norm": 0.8300117254257202,
|
519 |
+
"learning_rate": 9.985669678086443e-05,
|
520 |
+
"loss": 0.0505,
|
521 |
+
"step": 730
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.2947033054559936,
|
525 |
+
"grad_norm": 0.6425809264183044,
|
526 |
+
"learning_rate": 9.984391460808298e-05,
|
527 |
+
"loss": 0.0407,
|
528 |
+
"step": 740
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.2986857825567503,
|
532 |
+
"grad_norm": 0.4019189774990082,
|
533 |
+
"learning_rate": 9.983058735023709e-05,
|
534 |
+
"loss": 0.044,
|
535 |
+
"step": 750
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.302668259657507,
|
539 |
+
"grad_norm": 1.2118290662765503,
|
540 |
+
"learning_rate": 9.98167151530715e-05,
|
541 |
+
"loss": 0.0435,
|
542 |
+
"step": 760
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.30665073675826365,
|
546 |
+
"grad_norm": 0.4535205662250519,
|
547 |
+
"learning_rate": 9.980229816829034e-05,
|
548 |
+
"loss": 0.043,
|
549 |
+
"step": 770
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.3106332138590203,
|
553 |
+
"grad_norm": 0.7236475348472595,
|
554 |
+
"learning_rate": 9.978733655355544e-05,
|
555 |
+
"loss": 0.0479,
|
556 |
+
"step": 780
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.314615690959777,
|
560 |
+
"grad_norm": 1.045904278755188,
|
561 |
+
"learning_rate": 9.977183047248464e-05,
|
562 |
+
"loss": 0.0458,
|
563 |
+
"step": 790
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.31859816806053365,
|
567 |
+
"grad_norm": 0.8453964591026306,
|
568 |
+
"learning_rate": 9.975578009464992e-05,
|
569 |
+
"loss": 0.0489,
|
570 |
+
"step": 800
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.3225806451612903,
|
574 |
+
"grad_norm": 0.8722575902938843,
|
575 |
+
"learning_rate": 9.97391855955757e-05,
|
576 |
+
"loss": 0.0496,
|
577 |
+
"step": 810
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.326563122262047,
|
581 |
+
"grad_norm": 0.5823293328285217,
|
582 |
+
"learning_rate": 9.972204715673669e-05,
|
583 |
+
"loss": 0.0444,
|
584 |
+
"step": 820
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.33054559936280364,
|
588 |
+
"grad_norm": 0.426830917596817,
|
589 |
+
"learning_rate": 9.970436496555617e-05,
|
590 |
+
"loss": 0.0429,
|
591 |
+
"step": 830
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.3345280764635603,
|
595 |
+
"grad_norm": 0.6528297066688538,
|
596 |
+
"learning_rate": 9.968613921540373e-05,
|
597 |
+
"loss": 0.0462,
|
598 |
+
"step": 840
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 0.33851055356431703,
|
602 |
+
"grad_norm": 0.8501228094100952,
|
603 |
+
"learning_rate": 9.966737010559326e-05,
|
604 |
+
"loss": 0.0483,
|
605 |
+
"step": 850
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.3424930306650737,
|
609 |
+
"grad_norm": 0.6673285365104675,
|
610 |
+
"learning_rate": 9.964805784138072e-05,
|
611 |
+
"loss": 0.0483,
|
612 |
+
"step": 860
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.34647550776583036,
|
616 |
+
"grad_norm": 0.6113673448562622,
|
617 |
+
"learning_rate": 9.962820263396195e-05,
|
618 |
+
"loss": 0.0439,
|
619 |
+
"step": 870
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 0.350457984866587,
|
623 |
+
"grad_norm": 0.8236457705497742,
|
624 |
+
"learning_rate": 9.960780470047033e-05,
|
625 |
+
"loss": 0.0425,
|
626 |
+
"step": 880
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.3544404619673437,
|
630 |
+
"grad_norm": 0.4798528552055359,
|
631 |
+
"learning_rate": 9.958686426397437e-05,
|
632 |
+
"loss": 0.0397,
|
633 |
+
"step": 890
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.35842293906810035,
|
637 |
+
"grad_norm": 0.5209172964096069,
|
638 |
+
"learning_rate": 9.956538155347534e-05,
|
639 |
+
"loss": 0.0496,
|
640 |
+
"step": 900
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 0.362405416168857,
|
644 |
+
"grad_norm": 0.549393892288208,
|
645 |
+
"learning_rate": 9.95433568039047e-05,
|
646 |
+
"loss": 0.0388,
|
647 |
+
"step": 910
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.3663878932696137,
|
651 |
+
"grad_norm": 0.6078306436538696,
|
652 |
+
"learning_rate": 9.952079025612162e-05,
|
653 |
+
"loss": 0.0467,
|
654 |
+
"step": 920
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.37037037037037035,
|
658 |
+
"grad_norm": 0.47643283009529114,
|
659 |
+
"learning_rate": 9.949768215691022e-05,
|
660 |
+
"loss": 0.0392,
|
661 |
+
"step": 930
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 0.374352847471127,
|
665 |
+
"grad_norm": 0.5230958461761475,
|
666 |
+
"learning_rate": 9.9474032758977e-05,
|
667 |
+
"loss": 0.0414,
|
668 |
+
"step": 940
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.37833532457188374,
|
672 |
+
"grad_norm": 0.5619562864303589,
|
673 |
+
"learning_rate": 9.944984232094794e-05,
|
674 |
+
"loss": 0.0448,
|
675 |
+
"step": 950
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.3823178016726404,
|
679 |
+
"grad_norm": 0.7934162616729736,
|
680 |
+
"learning_rate": 9.942511110736584e-05,
|
681 |
+
"loss": 0.0389,
|
682 |
+
"step": 960
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 0.38630027877339707,
|
686 |
+
"grad_norm": 0.7610427737236023,
|
687 |
+
"learning_rate": 9.939983938868726e-05,
|
688 |
+
"loss": 0.0383,
|
689 |
+
"step": 970
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.39028275587415373,
|
693 |
+
"grad_norm": 0.6311072111129761,
|
694 |
+
"learning_rate": 9.93740274412797e-05,
|
695 |
+
"loss": 0.0449,
|
696 |
+
"step": 980
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 0.3942652329749104,
|
700 |
+
"grad_norm": 0.3925153613090515,
|
701 |
+
"learning_rate": 9.934767554741846e-05,
|
702 |
+
"loss": 0.043,
|
703 |
+
"step": 990
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 0.39824771007566706,
|
707 |
+
"grad_norm": 0.4677866995334625,
|
708 |
+
"learning_rate": 9.932078399528361e-05,
|
709 |
+
"loss": 0.0414,
|
710 |
+
"step": 1000
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.4022301871764237,
|
714 |
+
"grad_norm": 0.38546767830848694,
|
715 |
+
"learning_rate": 9.929335307895689e-05,
|
716 |
+
"loss": 0.0342,
|
717 |
+
"step": 1010
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.4062126642771804,
|
721 |
+
"grad_norm": 0.5453174710273743,
|
722 |
+
"learning_rate": 9.926538309841839e-05,
|
723 |
+
"loss": 0.0421,
|
724 |
+
"step": 1020
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 0.41019514137793706,
|
728 |
+
"grad_norm": 0.34743279218673706,
|
729 |
+
"learning_rate": 9.923687435954334e-05,
|
730 |
+
"loss": 0.0387,
|
731 |
+
"step": 1030
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 0.4141776184786937,
|
735 |
+
"grad_norm": 0.554025411605835,
|
736 |
+
"learning_rate": 9.920782717409873e-05,
|
737 |
+
"loss": 0.0469,
|
738 |
+
"step": 1040
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 0.41816009557945044,
|
742 |
+
"grad_norm": 0.6354169249534607,
|
743 |
+
"learning_rate": 9.917824185973994e-05,
|
744 |
+
"loss": 0.0411,
|
745 |
+
"step": 1050
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 0.4221425726802071,
|
749 |
+
"grad_norm": 0.46389538049697876,
|
750 |
+
"learning_rate": 9.914811874000723e-05,
|
751 |
+
"loss": 0.0447,
|
752 |
+
"step": 1060
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 0.42612504978096377,
|
756 |
+
"grad_norm": 0.8935972452163696,
|
757 |
+
"learning_rate": 9.911745814432218e-05,
|
758 |
+
"loss": 0.0454,
|
759 |
+
"step": 1070
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 0.43010752688172044,
|
763 |
+
"grad_norm": 1.0306254625320435,
|
764 |
+
"learning_rate": 9.90862604079842e-05,
|
765 |
+
"loss": 0.0438,
|
766 |
+
"step": 1080
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 0.4340900039824771,
|
770 |
+
"grad_norm": 0.5918930768966675,
|
771 |
+
"learning_rate": 9.90545258721667e-05,
|
772 |
+
"loss": 0.0389,
|
773 |
+
"step": 1090
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 0.43807248108323377,
|
777 |
+
"grad_norm": 0.5646054148674011,
|
778 |
+
"learning_rate": 9.90222548839135e-05,
|
779 |
+
"loss": 0.0395,
|
780 |
+
"step": 1100
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 0.44205495818399043,
|
784 |
+
"grad_norm": 0.5279185175895691,
|
785 |
+
"learning_rate": 9.898944779613495e-05,
|
786 |
+
"loss": 0.0438,
|
787 |
+
"step": 1110
|
788 |
+
},
|
789 |
+
{
|
790 |
+
"epoch": 0.4460374352847471,
|
791 |
+
"grad_norm": 0.41257861256599426,
|
792 |
+
"learning_rate": 9.89561049676041e-05,
|
793 |
+
"loss": 0.0397,
|
794 |
+
"step": 1120
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 0.45001991238550376,
|
798 |
+
"grad_norm": 0.36252203583717346,
|
799 |
+
"learning_rate": 9.89222267629528e-05,
|
800 |
+
"loss": 0.043,
|
801 |
+
"step": 1130
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.4540023894862604,
|
805 |
+
"grad_norm": 0.8424637913703918,
|
806 |
+
"learning_rate": 9.888781355266763e-05,
|
807 |
+
"loss": 0.0433,
|
808 |
+
"step": 1140
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 0.45798486658701715,
|
812 |
+
"grad_norm": 0.5604090690612793,
|
813 |
+
"learning_rate": 9.885286571308598e-05,
|
814 |
+
"loss": 0.0452,
|
815 |
+
"step": 1150
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 0.4619673436877738,
|
819 |
+
"grad_norm": 0.7178535461425781,
|
820 |
+
"learning_rate": 9.881738362639182e-05,
|
821 |
+
"loss": 0.0401,
|
822 |
+
"step": 1160
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 0.4659498207885305,
|
826 |
+
"grad_norm": 0.7291957139968872,
|
827 |
+
"learning_rate": 9.878136768061154e-05,
|
828 |
+
"loss": 0.0368,
|
829 |
+
"step": 1170
|
830 |
+
},
|
831 |
+
{
|
832 |
+
"epoch": 0.46993229788928714,
|
833 |
+
"grad_norm": 0.48816534876823425,
|
834 |
+
"learning_rate": 9.874481826960979e-05,
|
835 |
+
"loss": 0.039,
|
836 |
+
"step": 1180
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 0.4739147749900438,
|
840 |
+
"grad_norm": 0.813832700252533,
|
841 |
+
"learning_rate": 9.870773579308503e-05,
|
842 |
+
"loss": 0.0417,
|
843 |
+
"step": 1190
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 0.4778972520908005,
|
847 |
+
"grad_norm": 0.5479532480239868,
|
848 |
+
"learning_rate": 9.867012065656533e-05,
|
849 |
+
"loss": 0.0428,
|
850 |
+
"step": 1200
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 0.48187972919155714,
|
854 |
+
"grad_norm": 0.7760400772094727,
|
855 |
+
"learning_rate": 9.863197327140376e-05,
|
856 |
+
"loss": 0.0454,
|
857 |
+
"step": 1210
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 0.4858622062923138,
|
861 |
+
"grad_norm": 0.6200589537620544,
|
862 |
+
"learning_rate": 9.859329405477403e-05,
|
863 |
+
"loss": 0.0377,
|
864 |
+
"step": 1220
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 0.48984468339307047,
|
868 |
+
"grad_norm": 0.7709351778030396,
|
869 |
+
"learning_rate": 9.855408342966585e-05,
|
870 |
+
"loss": 0.045,
|
871 |
+
"step": 1230
|
872 |
+
},
|
873 |
+
{
|
874 |
+
"epoch": 0.49382716049382713,
|
875 |
+
"grad_norm": 0.44105854630470276,
|
876 |
+
"learning_rate": 9.851434182488033e-05,
|
877 |
+
"loss": 0.0374,
|
878 |
+
"step": 1240
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 0.49780963759458385,
|
882 |
+
"grad_norm": 0.4224795401096344,
|
883 |
+
"learning_rate": 9.84740696750253e-05,
|
884 |
+
"loss": 0.0403,
|
885 |
+
"step": 1250
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 0.5017921146953405,
|
889 |
+
"grad_norm": 0.49829116463661194,
|
890 |
+
"learning_rate": 9.843326742051055e-05,
|
891 |
+
"loss": 0.0427,
|
892 |
+
"step": 1260
|
893 |
+
},
|
894 |
+
{
|
895 |
+
"epoch": 0.5057745917960972,
|
896 |
+
"grad_norm": 0.42388513684272766,
|
897 |
+
"learning_rate": 9.839193550754297e-05,
|
898 |
+
"loss": 0.0407,
|
899 |
+
"step": 1270
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 0.5097570688968538,
|
903 |
+
"grad_norm": 0.8282580375671387,
|
904 |
+
"learning_rate": 9.835007438812177e-05,
|
905 |
+
"loss": 0.0422,
|
906 |
+
"step": 1280
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 0.5137395459976105,
|
910 |
+
"grad_norm": 0.7779645323753357,
|
911 |
+
"learning_rate": 9.830768452003341e-05,
|
912 |
+
"loss": 0.044,
|
913 |
+
"step": 1290
|
914 |
+
},
|
915 |
+
{
|
916 |
+
"epoch": 0.5177220230983672,
|
917 |
+
"grad_norm": 0.6992411017417908,
|
918 |
+
"learning_rate": 9.826476636684671e-05,
|
919 |
+
"loss": 0.0422,
|
920 |
+
"step": 1300
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 0.5217045001991238,
|
924 |
+
"grad_norm": 0.5714141130447388,
|
925 |
+
"learning_rate": 9.822132039790773e-05,
|
926 |
+
"loss": 0.0394,
|
927 |
+
"step": 1310
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 0.5256869772998806,
|
931 |
+
"grad_norm": 0.8175871968269348,
|
932 |
+
"learning_rate": 9.817734708833461e-05,
|
933 |
+
"loss": 0.0498,
|
934 |
+
"step": 1320
|
935 |
+
},
|
936 |
+
{
|
937 |
+
"epoch": 0.5296694544006372,
|
938 |
+
"grad_norm": 0.6209958791732788,
|
939 |
+
"learning_rate": 9.813284691901243e-05,
|
940 |
+
"loss": 0.04,
|
941 |
+
"step": 1330
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 0.5336519315013939,
|
945 |
+
"grad_norm": 0.39030686020851135,
|
946 |
+
"learning_rate": 9.808782037658792e-05,
|
947 |
+
"loss": 0.0414,
|
948 |
+
"step": 1340
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 0.5376344086021505,
|
952 |
+
"grad_norm": 0.5858843922615051,
|
953 |
+
"learning_rate": 9.804226795346411e-05,
|
954 |
+
"loss": 0.0384,
|
955 |
+
"step": 1350
|
956 |
+
},
|
957 |
+
{
|
958 |
+
"epoch": 0.5416168857029072,
|
959 |
+
"grad_norm": 0.812506914138794,
|
960 |
+
"learning_rate": 9.799619014779503e-05,
|
961 |
+
"loss": 0.0428,
|
962 |
+
"step": 1360
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 0.5455993628036638,
|
966 |
+
"grad_norm": 0.5438332557678223,
|
967 |
+
"learning_rate": 9.794958746348013e-05,
|
968 |
+
"loss": 0.0344,
|
969 |
+
"step": 1370
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.5495818399044206,
|
973 |
+
"grad_norm": 0.4357604384422302,
|
974 |
+
"learning_rate": 9.790246041015896e-05,
|
975 |
+
"loss": 0.0429,
|
976 |
+
"step": 1380
|
977 |
+
},
|
978 |
+
{
|
979 |
+
"epoch": 0.5535643170051773,
|
980 |
+
"grad_norm": 0.6829274892807007,
|
981 |
+
"learning_rate": 9.785480950320538e-05,
|
982 |
+
"loss": 0.0352,
|
983 |
+
"step": 1390
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 0.5575467941059339,
|
987 |
+
"grad_norm": 0.46741291880607605,
|
988 |
+
"learning_rate": 9.78066352637221e-05,
|
989 |
+
"loss": 0.0387,
|
990 |
+
"step": 1400
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 0.5615292712066906,
|
994 |
+
"grad_norm": 0.8722621202468872,
|
995 |
+
"learning_rate": 9.775793821853488e-05,
|
996 |
+
"loss": 0.0364,
|
997 |
+
"step": 1410
|
998 |
+
},
|
999 |
+
{
|
1000 |
+
"epoch": 0.5655117483074472,
|
1001 |
+
"grad_norm": 0.6563253402709961,
|
1002 |
+
"learning_rate": 9.77087189001868e-05,
|
1003 |
+
"loss": 0.0409,
|
1004 |
+
"step": 1420
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 0.5694942254082039,
|
1008 |
+
"grad_norm": 0.6959318518638611,
|
1009 |
+
"learning_rate": 9.765897784693243e-05,
|
1010 |
+
"loss": 0.0349,
|
1011 |
+
"step": 1430
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 0.5734767025089605,
|
1015 |
+
"grad_norm": 0.34205693006515503,
|
1016 |
+
"learning_rate": 9.760871560273197e-05,
|
1017 |
+
"loss": 0.036,
|
1018 |
+
"step": 1440
|
1019 |
+
},
|
1020 |
+
{
|
1021 |
+
"epoch": 0.5774591796097173,
|
1022 |
+
"grad_norm": 0.7076167464256287,
|
1023 |
+
"learning_rate": 9.755793271724526e-05,
|
1024 |
+
"loss": 0.0413,
|
1025 |
+
"step": 1450
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 0.5814416567104739,
|
1029 |
+
"grad_norm": 0.6335232257843018,
|
1030 |
+
"learning_rate": 9.750662974582584e-05,
|
1031 |
+
"loss": 0.0392,
|
1032 |
+
"step": 1460
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
"epoch": 0.5854241338112306,
|
1036 |
+
"grad_norm": 0.7028225660324097,
|
1037 |
+
"learning_rate": 9.745480724951473e-05,
|
1038 |
+
"loss": 0.0391,
|
1039 |
+
"step": 1470
|
1040 |
+
},
|
1041 |
+
{
|
1042 |
+
"epoch": 0.5894066109119872,
|
1043 |
+
"grad_norm": 0.5494594573974609,
|
1044 |
+
"learning_rate": 9.740246579503447e-05,
|
1045 |
+
"loss": 0.0469,
|
1046 |
+
"step": 1480
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 0.5933890880127439,
|
1050 |
+
"grad_norm": 0.3793744146823883,
|
1051 |
+
"learning_rate": 9.734960595478284e-05,
|
1052 |
+
"loss": 0.0372,
|
1053 |
+
"step": 1490
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 0.5973715651135006,
|
1057 |
+
"grad_norm": 0.6068878769874573,
|
1058 |
+
"learning_rate": 9.729622830682657e-05,
|
1059 |
+
"loss": 0.0443,
|
1060 |
+
"step": 1500
|
1061 |
+
},
|
1062 |
+
{
|
1063 |
+
"epoch": 0.6013540422142573,
|
1064 |
+
"grad_norm": 0.6348056197166443,
|
1065 |
+
"learning_rate": 9.724233343489504e-05,
|
1066 |
+
"loss": 0.0388,
|
1067 |
+
"step": 1510
|
1068 |
+
},
|
1069 |
+
{
|
1070 |
+
"epoch": 0.605336519315014,
|
1071 |
+
"grad_norm": 0.7185152173042297,
|
1072 |
+
"learning_rate": 9.718792192837396e-05,
|
1073 |
+
"loss": 0.0394,
|
1074 |
+
"step": 1520
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 0.6093189964157706,
|
1078 |
+
"grad_norm": 0.29940369725227356,
|
1079 |
+
"learning_rate": 9.713299438229886e-05,
|
1080 |
+
"loss": 0.0373,
|
1081 |
+
"step": 1530
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 0.6133014735165273,
|
1085 |
+
"grad_norm": 0.608589768409729,
|
1086 |
+
"learning_rate": 9.707755139734855e-05,
|
1087 |
+
"loss": 0.0444,
|
1088 |
+
"step": 1540
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 0.6172839506172839,
|
1092 |
+
"grad_norm": 0.6535037755966187,
|
1093 |
+
"learning_rate": 9.702159357983866e-05,
|
1094 |
+
"loss": 0.0418,
|
1095 |
+
"step": 1550
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 0.6212664277180406,
|
1099 |
+
"grad_norm": 0.389615923166275,
|
1100 |
+
"learning_rate": 9.696512154171492e-05,
|
1101 |
+
"loss": 0.0394,
|
1102 |
+
"step": 1560
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"epoch": 0.6252489048187972,
|
1106 |
+
"grad_norm": 0.5415939092636108,
|
1107 |
+
"learning_rate": 9.690813590054645e-05,
|
1108 |
+
"loss": 0.0374,
|
1109 |
+
"step": 1570
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 0.629231381919554,
|
1113 |
+
"grad_norm": 0.6598183512687683,
|
1114 |
+
"learning_rate": 9.685063727951914e-05,
|
1115 |
+
"loss": 0.0364,
|
1116 |
+
"step": 1580
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 0.6332138590203107,
|
1120 |
+
"grad_norm": 0.4346562325954437,
|
1121 |
+
"learning_rate": 9.679262630742865e-05,
|
1122 |
+
"loss": 0.0368,
|
1123 |
+
"step": 1590
|
1124 |
+
},
|
1125 |
+
{
|
1126 |
+
"epoch": 0.6371963361210673,
|
1127 |
+
"grad_norm": 0.7525681257247925,
|
1128 |
+
"learning_rate": 9.673410361867373e-05,
|
1129 |
+
"loss": 0.037,
|
1130 |
+
"step": 1600
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 0.641178813221824,
|
1134 |
+
"grad_norm": 0.4621691405773163,
|
1135 |
+
"learning_rate": 9.667506985324909e-05,
|
1136 |
+
"loss": 0.0313,
|
1137 |
+
"step": 1610
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 0.6451612903225806,
|
1141 |
+
"grad_norm": 0.5039979219436646,
|
1142 |
+
"learning_rate": 9.661552565673855e-05,
|
1143 |
+
"loss": 0.0309,
|
1144 |
+
"step": 1620
|
1145 |
+
},
|
1146 |
+
{
|
1147 |
+
"epoch": 0.6491437674233373,
|
1148 |
+
"grad_norm": 0.29736581444740295,
|
1149 |
+
"learning_rate": 9.655547168030789e-05,
|
1150 |
+
"loss": 0.0369,
|
1151 |
+
"step": 1630
|
1152 |
+
},
|
1153 |
+
{
|
1154 |
+
"epoch": 0.653126244524094,
|
1155 |
+
"grad_norm": 0.4153502583503723,
|
1156 |
+
"learning_rate": 9.649490858069777e-05,
|
1157 |
+
"loss": 0.0349,
|
1158 |
+
"step": 1640
|
1159 |
+
},
|
1160 |
+
{
|
1161 |
+
"epoch": 0.6571087216248507,
|
1162 |
+
"grad_norm": 0.64329993724823,
|
1163 |
+
"learning_rate": 9.643383702021658e-05,
|
1164 |
+
"loss": 0.0422,
|
1165 |
+
"step": 1650
|
1166 |
+
},
|
1167 |
+
{
|
1168 |
+
"epoch": 0.6610911987256073,
|
1169 |
+
"grad_norm": 0.39090660214424133,
|
1170 |
+
"learning_rate": 9.637225766673307e-05,
|
1171 |
+
"loss": 0.0332,
|
1172 |
+
"step": 1660
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.665073675826364,
|
1176 |
+
"grad_norm": 0.4412473440170288,
|
1177 |
+
"learning_rate": 9.631017119366922e-05,
|
1178 |
+
"loss": 0.0374,
|
1179 |
+
"step": 1670
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.6690561529271206,
|
1183 |
+
"grad_norm": 0.28402477502822876,
|
1184 |
+
"learning_rate": 9.624757827999273e-05,
|
1185 |
+
"loss": 0.0364,
|
1186 |
+
"step": 1680
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 0.6730386300278773,
|
1190 |
+
"grad_norm": 0.5480361580848694,
|
1191 |
+
"learning_rate": 9.618447961020971e-05,
|
1192 |
+
"loss": 0.0381,
|
1193 |
+
"step": 1690
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 0.6770211071286341,
|
1197 |
+
"grad_norm": 0.6572909355163574,
|
1198 |
+
"learning_rate": 9.612087587435707e-05,
|
1199 |
+
"loss": 0.037,
|
1200 |
+
"step": 1700
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 0.6810035842293907,
|
1204 |
+
"grad_norm": 0.6667490601539612,
|
1205 |
+
"learning_rate": 9.605676776799508e-05,
|
1206 |
+
"loss": 0.04,
|
1207 |
+
"step": 1710
|
1208 |
+
},
|
1209 |
+
{
|
1210 |
+
"epoch": 0.6849860613301474,
|
1211 |
+
"grad_norm": 0.29837551712989807,
|
1212 |
+
"learning_rate": 9.599215599219973e-05,
|
1213 |
+
"loss": 0.0351,
|
1214 |
+
"step": 1720
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 0.688968538430904,
|
1218 |
+
"grad_norm": 0.6289225220680237,
|
1219 |
+
"learning_rate": 9.592704125355505e-05,
|
1220 |
+
"loss": 0.0377,
|
1221 |
+
"step": 1730
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.6929510155316607,
|
1225 |
+
"grad_norm": 0.4489145576953888,
|
1226 |
+
"learning_rate": 9.586142426414538e-05,
|
1227 |
+
"loss": 0.0391,
|
1228 |
+
"step": 1740
|
1229 |
+
},
|
1230 |
+
{
|
1231 |
+
"epoch": 0.6969334926324173,
|
1232 |
+
"grad_norm": 0.5505160093307495,
|
1233 |
+
"learning_rate": 9.57953057415476e-05,
|
1234 |
+
"loss": 0.0371,
|
1235 |
+
"step": 1750
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 0.700915969733174,
|
1239 |
+
"grad_norm": 0.48338383436203003,
|
1240 |
+
"learning_rate": 9.572868640882328e-05,
|
1241 |
+
"loss": 0.0399,
|
1242 |
+
"step": 1760
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 0.7048984468339307,
|
1246 |
+
"grad_norm": 0.3950949013233185,
|
1247 |
+
"learning_rate": 9.56615669945108e-05,
|
1248 |
+
"loss": 0.0411,
|
1249 |
+
"step": 1770
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 0.7088809239346874,
|
1253 |
+
"grad_norm": 0.7186228036880493,
|
1254 |
+
"learning_rate": 9.55939482326173e-05,
|
1255 |
+
"loss": 0.0358,
|
1256 |
+
"step": 1780
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 0.7128634010354441,
|
1260 |
+
"grad_norm": 0.36578911542892456,
|
1261 |
+
"learning_rate": 9.552583086261069e-05,
|
1262 |
+
"loss": 0.0402,
|
1263 |
+
"step": 1790
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.7168458781362007,
|
1267 |
+
"grad_norm": 0.48990169167518616,
|
1268 |
+
"learning_rate": 9.545721562941168e-05,
|
1269 |
+
"loss": 0.0353,
|
1270 |
+
"step": 1800
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 0.7208283552369574,
|
1274 |
+
"grad_norm": 0.37718433141708374,
|
1275 |
+
"learning_rate": 9.538810328338543e-05,
|
1276 |
+
"loss": 0.0385,
|
1277 |
+
"step": 1810
|
1278 |
+
},
|
1279 |
+
{
|
1280 |
+
"epoch": 0.724810832337714,
|
1281 |
+
"grad_norm": 0.40954500436782837,
|
1282 |
+
"learning_rate": 9.531849458033349e-05,
|
1283 |
+
"loss": 0.0334,
|
1284 |
+
"step": 1820
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 0.7287933094384708,
|
1288 |
+
"grad_norm": 0.6403422951698303,
|
1289 |
+
"learning_rate": 9.524839028148547e-05,
|
1290 |
+
"loss": 0.0385,
|
1291 |
+
"step": 1830
|
1292 |
+
},
|
1293 |
+
{
|
1294 |
+
"epoch": 0.7327757865392274,
|
1295 |
+
"grad_norm": 0.4989095628261566,
|
1296 |
+
"learning_rate": 9.517779115349077e-05,
|
1297 |
+
"loss": 0.0374,
|
1298 |
+
"step": 1840
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 0.7367582636399841,
|
1302 |
+
"grad_norm": 0.4369076192378998,
|
1303 |
+
"learning_rate": 9.510669796841014e-05,
|
1304 |
+
"loss": 0.0353,
|
1305 |
+
"step": 1850
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 0.7407407407407407,
|
1309 |
+
"grad_norm": 0.6268195509910583,
|
1310 |
+
"learning_rate": 9.503511150370727e-05,
|
1311 |
+
"loss": 0.0407,
|
1312 |
+
"step": 1860
|
1313 |
+
},
|
1314 |
+
{
|
1315 |
+
"epoch": 0.7447232178414974,
|
1316 |
+
"grad_norm": 0.40719932317733765,
|
1317 |
+
"learning_rate": 9.496303254224024e-05,
|
1318 |
+
"loss": 0.037,
|
1319 |
+
"step": 1870
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 0.748705694942254,
|
1323 |
+
"grad_norm": 0.41097119450569153,
|
1324 |
+
"learning_rate": 9.489046187225306e-05,
|
1325 |
+
"loss": 0.0338,
|
1326 |
+
"step": 1880
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 0.7526881720430108,
|
1330 |
+
"grad_norm": 0.3966093361377716,
|
1331 |
+
"learning_rate": 9.481740028736692e-05,
|
1332 |
+
"loss": 0.0318,
|
1333 |
+
"step": 1890
|
1334 |
+
},
|
1335 |
+
{
|
1336 |
+
"epoch": 0.7566706491437675,
|
1337 |
+
"grad_norm": 0.6017296314239502,
|
1338 |
+
"learning_rate": 9.474384858657164e-05,
|
1339 |
+
"loss": 0.0375,
|
1340 |
+
"step": 1900
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 0.7606531262445241,
|
1344 |
+
"grad_norm": 0.6876013278961182,
|
1345 |
+
"learning_rate": 9.466980757421679e-05,
|
1346 |
+
"loss": 0.0381,
|
1347 |
+
"step": 1910
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 0.7646356033452808,
|
1351 |
+
"grad_norm": 0.4606328010559082,
|
1352 |
+
"learning_rate": 9.459527806000305e-05,
|
1353 |
+
"loss": 0.0379,
|
1354 |
+
"step": 1920
|
1355 |
+
},
|
1356 |
+
{
|
1357 |
+
"epoch": 0.7686180804460374,
|
1358 |
+
"grad_norm": 0.9279587268829346,
|
1359 |
+
"learning_rate": 9.452026085897325e-05,
|
1360 |
+
"loss": 0.0351,
|
1361 |
+
"step": 1930
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 0.7726005575467941,
|
1365 |
+
"grad_norm": 0.5607491135597229,
|
1366 |
+
"learning_rate": 9.444475679150348e-05,
|
1367 |
+
"loss": 0.0397,
|
1368 |
+
"step": 1940
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 0.7765830346475507,
|
1372 |
+
"grad_norm": 0.7617636322975159,
|
1373 |
+
"learning_rate": 9.436876668329411e-05,
|
1374 |
+
"loss": 0.0357,
|
1375 |
+
"step": 1950
|
1376 |
+
},
|
1377 |
+
{
|
1378 |
+
"epoch": 0.7805655117483075,
|
1379 |
+
"grad_norm": 0.40550336241722107,
|
1380 |
+
"learning_rate": 9.429229136536079e-05,
|
1381 |
+
"loss": 0.0326,
|
1382 |
+
"step": 1960
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 0.7845479888490641,
|
1386 |
+
"grad_norm": 0.7706924676895142,
|
1387 |
+
"learning_rate": 9.421533167402534e-05,
|
1388 |
+
"loss": 0.0395,
|
1389 |
+
"step": 1970
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 0.7885304659498208,
|
1393 |
+
"grad_norm": 0.5256568789482117,
|
1394 |
+
"learning_rate": 9.413788845090666e-05,
|
1395 |
+
"loss": 0.04,
|
1396 |
+
"step": 1980
|
1397 |
+
},
|
1398 |
+
{
|
1399 |
+
"epoch": 0.7925129430505775,
|
1400 |
+
"grad_norm": 0.4805433452129364,
|
1401 |
+
"learning_rate": 9.405996254291136e-05,
|
1402 |
+
"loss": 0.0358,
|
1403 |
+
"step": 1990
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 0.7964954201513341,
|
1407 |
+
"grad_norm": 0.4774327874183655,
|
1408 |
+
"learning_rate": 9.398155480222474e-05,
|
1409 |
+
"loss": 0.0323,
|
1410 |
+
"step": 2000
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 0.8004778972520908,
|
1414 |
+
"grad_norm": 0.42436131834983826,
|
1415 |
+
"learning_rate": 9.390266608630128e-05,
|
1416 |
+
"loss": 0.0351,
|
1417 |
+
"step": 2010
|
1418 |
+
},
|
1419 |
+
{
|
1420 |
+
"epoch": 0.8044603743528475,
|
1421 |
+
"grad_norm": 0.43557778000831604,
|
1422 |
+
"learning_rate": 9.38232972578553e-05,
|
1423 |
+
"loss": 0.0385,
|
1424 |
+
"step": 2020
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 0.8084428514536042,
|
1428 |
+
"grad_norm": 0.47707608342170715,
|
1429 |
+
"learning_rate": 9.374344918485164e-05,
|
1430 |
+
"loss": 0.0371,
|
1431 |
+
"step": 2030
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 0.8124253285543608,
|
1435 |
+
"grad_norm": 0.4659009873867035,
|
1436 |
+
"learning_rate": 9.366312274049602e-05,
|
1437 |
+
"loss": 0.0407,
|
1438 |
+
"step": 2040
|
1439 |
+
},
|
1440 |
+
{
|
1441 |
+
"epoch": 0.8164078056551175,
|
1442 |
+
"grad_norm": 0.4538560211658478,
|
1443 |
+
"learning_rate": 9.358231880322554e-05,
|
1444 |
+
"loss": 0.0349,
|
1445 |
+
"step": 2050
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 0.8203902827558741,
|
1449 |
+
"grad_norm": 0.6766425967216492,
|
1450 |
+
"learning_rate": 9.350103825669916e-05,
|
1451 |
+
"loss": 0.0311,
|
1452 |
+
"step": 2060
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"epoch": 0.8243727598566308,
|
1456 |
+
"grad_norm": 0.3502272963523865,
|
1457 |
+
"learning_rate": 9.341928198978787e-05,
|
1458 |
+
"loss": 0.0347,
|
1459 |
+
"step": 2070
|
1460 |
+
},
|
1461 |
+
{
|
1462 |
+
"epoch": 0.8283552369573874,
|
1463 |
+
"grad_norm": 0.5337536931037903,
|
1464 |
+
"learning_rate": 9.333705089656512e-05,
|
1465 |
+
"loss": 0.03,
|
1466 |
+
"step": 2080
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 0.8323377140581442,
|
1470 |
+
"grad_norm": 0.6512131690979004,
|
1471 |
+
"learning_rate": 9.325434587629698e-05,
|
1472 |
+
"loss": 0.0329,
|
1473 |
+
"step": 2090
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 0.8363201911589009,
|
1477 |
+
"grad_norm": 0.5638608336448669,
|
1478 |
+
"learning_rate": 9.31711678334323e-05,
|
1479 |
+
"loss": 0.0311,
|
1480 |
+
"step": 2100
|
1481 |
+
},
|
1482 |
+
{
|
1483 |
+
"epoch": 0.8403026682596575,
|
1484 |
+
"grad_norm": 0.3121340572834015,
|
1485 |
+
"learning_rate": 9.308751767759282e-05,
|
1486 |
+
"loss": 0.0319,
|
1487 |
+
"step": 2110
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"epoch": 0.8442851453604142,
|
1491 |
+
"grad_norm": 0.6195731163024902,
|
1492 |
+
"learning_rate": 9.300339632356325e-05,
|
1493 |
+
"loss": 0.0318,
|
1494 |
+
"step": 2120
|
1495 |
+
},
|
1496 |
+
{
|
1497 |
+
"epoch": 0.8482676224611708,
|
1498 |
+
"grad_norm": 0.6970657110214233,
|
1499 |
+
"learning_rate": 9.291880469128124e-05,
|
1500 |
+
"loss": 0.0337,
|
1501 |
+
"step": 2130
|
1502 |
+
},
|
1503 |
+
{
|
1504 |
+
"epoch": 0.8522500995619275,
|
1505 |
+
"grad_norm": 0.5600506663322449,
|
1506 |
+
"learning_rate": 9.283374370582732e-05,
|
1507 |
+
"loss": 0.0371,
|
1508 |
+
"step": 2140
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 0.8562325766626842,
|
1512 |
+
"grad_norm": 0.47252482175827026,
|
1513 |
+
"learning_rate": 9.274821429741482e-05,
|
1514 |
+
"loss": 0.0399,
|
1515 |
+
"step": 2150
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 0.8602150537634409,
|
1519 |
+
"grad_norm": 0.511959969997406,
|
1520 |
+
"learning_rate": 9.266221740137961e-05,
|
1521 |
+
"loss": 0.0336,
|
1522 |
+
"step": 2160
|
1523 |
+
},
|
1524 |
+
{
|
1525 |
+
"epoch": 0.8641975308641975,
|
1526 |
+
"grad_norm": 0.4836970567703247,
|
1527 |
+
"learning_rate": 9.257575395817001e-05,
|
1528 |
+
"loss": 0.0297,
|
1529 |
+
"step": 2170
|
1530 |
+
},
|
1531 |
+
{
|
1532 |
+
"epoch": 0.8681800079649542,
|
1533 |
+
"grad_norm": 0.6154841184616089,
|
1534 |
+
"learning_rate": 9.248882491333637e-05,
|
1535 |
+
"loss": 0.0369,
|
1536 |
+
"step": 2180
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 0.8721624850657109,
|
1540 |
+
"grad_norm": 0.6111750602722168,
|
1541 |
+
"learning_rate": 9.240143121752076e-05,
|
1542 |
+
"loss": 0.0325,
|
1543 |
+
"step": 2190
|
1544 |
+
},
|
1545 |
+
{
|
1546 |
+
"epoch": 0.8761449621664675,
|
1547 |
+
"grad_norm": 0.4122430980205536,
|
1548 |
+
"learning_rate": 9.23135738264467e-05,
|
1549 |
+
"loss": 0.0325,
|
1550 |
+
"step": 2200
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 0.8801274392672243,
|
1554 |
+
"grad_norm": 0.35100454092025757,
|
1555 |
+
"learning_rate": 9.222525370090849e-05,
|
1556 |
+
"loss": 0.0313,
|
1557 |
+
"step": 2210
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 0.8841099163679809,
|
1561 |
+
"grad_norm": 0.5073012113571167,
|
1562 |
+
"learning_rate": 9.213647180676088e-05,
|
1563 |
+
"loss": 0.0337,
|
1564 |
+
"step": 2220
|
1565 |
+
},
|
1566 |
+
{
|
1567 |
+
"epoch": 0.8880923934687376,
|
1568 |
+
"grad_norm": 0.6666367650032043,
|
1569 |
+
"learning_rate": 9.204722911490846e-05,
|
1570 |
+
"loss": 0.0357,
|
1571 |
+
"step": 2230
|
1572 |
+
},
|
1573 |
+
{
|
1574 |
+
"epoch": 0.8920748705694942,
|
1575 |
+
"grad_norm": 0.43829846382141113,
|
1576 |
+
"learning_rate": 9.1957526601295e-05,
|
1577 |
+
"loss": 0.0309,
|
1578 |
+
"step": 2240
|
1579 |
+
},
|
1580 |
+
{
|
1581 |
+
"epoch": 0.8960573476702509,
|
1582 |
+
"grad_norm": 0.41505926847457886,
|
1583 |
+
"learning_rate": 9.186736524689281e-05,
|
1584 |
+
"loss": 0.0362,
|
1585 |
+
"step": 2250
|
1586 |
+
},
|
1587 |
+
{
|
1588 |
+
"epoch": 0.9000398247710075,
|
1589 |
+
"grad_norm": 0.585198700428009,
|
1590 |
+
"learning_rate": 9.177674603769204e-05,
|
1591 |
+
"loss": 0.0373,
|
1592 |
+
"step": 2260
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 0.9040223018717642,
|
1596 |
+
"grad_norm": 0.5691582560539246,
|
1597 |
+
"learning_rate": 9.168566996468983e-05,
|
1598 |
+
"loss": 0.0297,
|
1599 |
+
"step": 2270
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 0.9080047789725209,
|
1603 |
+
"grad_norm": 0.568215012550354,
|
1604 |
+
"learning_rate": 9.159413802387951e-05,
|
1605 |
+
"loss": 0.0375,
|
1606 |
+
"step": 2280
|
1607 |
+
},
|
1608 |
+
{
|
1609 |
+
"epoch": 0.9119872560732776,
|
1610 |
+
"grad_norm": 0.41294440627098083,
|
1611 |
+
"learning_rate": 9.150215121623974e-05,
|
1612 |
+
"loss": 0.0348,
|
1613 |
+
"step": 2290
|
1614 |
+
},
|
1615 |
+
{
|
1616 |
+
"epoch": 0.9159697331740343,
|
1617 |
+
"grad_norm": 0.5145776271820068,
|
1618 |
+
"learning_rate": 9.140971054772349e-05,
|
1619 |
+
"loss": 0.0318,
|
1620 |
+
"step": 2300
|
1621 |
+
},
|
1622 |
+
{
|
1623 |
+
"epoch": 0.9199522102747909,
|
1624 |
+
"grad_norm": 0.4824906289577484,
|
1625 |
+
"learning_rate": 9.131681702924713e-05,
|
1626 |
+
"loss": 0.0383,
|
1627 |
+
"step": 2310
|
1628 |
+
},
|
1629 |
+
{
|
1630 |
+
"epoch": 0.9239346873755476,
|
1631 |
+
"grad_norm": 0.5607543587684631,
|
1632 |
+
"learning_rate": 9.122347167667926e-05,
|
1633 |
+
"loss": 0.0288,
|
1634 |
+
"step": 2320
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 0.9279171644763042,
|
1638 |
+
"grad_norm": 0.7051650285720825,
|
1639 |
+
"learning_rate": 9.112967551082973e-05,
|
1640 |
+
"loss": 0.0393,
|
1641 |
+
"step": 2330
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 0.931899641577061,
|
1645 |
+
"grad_norm": 0.4049379825592041,
|
1646 |
+
"learning_rate": 9.103542955743835e-05,
|
1647 |
+
"loss": 0.0322,
|
1648 |
+
"step": 2340
|
1649 |
+
},
|
1650 |
+
{
|
1651 |
+
"epoch": 0.9358821186778176,
|
1652 |
+
"grad_norm": 0.3805215060710907,
|
1653 |
+
"learning_rate": 9.094073484716381e-05,
|
1654 |
+
"loss": 0.0357,
|
1655 |
+
"step": 2350
|
1656 |
+
},
|
1657 |
+
{
|
1658 |
+
"epoch": 0.9398645957785743,
|
1659 |
+
"grad_norm": 0.44789791107177734,
|
1660 |
+
"learning_rate": 9.084559241557226e-05,
|
1661 |
+
"loss": 0.0291,
|
1662 |
+
"step": 2360
|
1663 |
+
},
|
1664 |
+
{
|
1665 |
+
"epoch": 0.9438470728793309,
|
1666 |
+
"grad_norm": 0.6356040835380554,
|
1667 |
+
"learning_rate": 9.075000330312608e-05,
|
1668 |
+
"loss": 0.0322,
|
1669 |
+
"step": 2370
|
1670 |
+
},
|
1671 |
+
{
|
1672 |
+
"epoch": 0.9478295499800876,
|
1673 |
+
"grad_norm": 0.504687488079071,
|
1674 |
+
"learning_rate": 9.065396855517253e-05,
|
1675 |
+
"loss": 0.03,
|
1676 |
+
"step": 2380
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 0.9518120270808443,
|
1680 |
+
"grad_norm": 0.4105326533317566,
|
1681 |
+
"learning_rate": 9.055748922193219e-05,
|
1682 |
+
"loss": 0.0349,
|
1683 |
+
"step": 2390
|
1684 |
+
},
|
1685 |
+
{
|
1686 |
+
"epoch": 0.955794504181601,
|
1687 |
+
"grad_norm": 0.4912046790122986,
|
1688 |
+
"learning_rate": 9.046056635848761e-05,
|
1689 |
+
"loss": 0.0384,
|
1690 |
+
"step": 2400
|
1691 |
+
},
|
1692 |
+
{
|
1693 |
+
"epoch": 0.9597769812823577,
|
1694 |
+
"grad_norm": 0.7549566030502319,
|
1695 |
+
"learning_rate": 9.036320102477169e-05,
|
1696 |
+
"loss": 0.0327,
|
1697 |
+
"step": 2410
|
1698 |
+
},
|
1699 |
+
{
|
1700 |
+
"epoch": 0.9637594583831143,
|
1701 |
+
"grad_norm": 0.36022019386291504,
|
1702 |
+
"learning_rate": 9.02653942855561e-05,
|
1703 |
+
"loss": 0.0331,
|
1704 |
+
"step": 2420
|
1705 |
+
},
|
1706 |
+
{
|
1707 |
+
"epoch": 0.967741935483871,
|
1708 |
+
"grad_norm": 0.48688042163848877,
|
1709 |
+
"learning_rate": 9.016714721043971e-05,
|
1710 |
+
"loss": 0.0318,
|
1711 |
+
"step": 2430
|
1712 |
+
},
|
1713 |
+
{
|
1714 |
+
"epoch": 0.9717244125846276,
|
1715 |
+
"grad_norm": 0.3235294222831726,
|
1716 |
+
"learning_rate": 9.006846087383675e-05,
|
1717 |
+
"loss": 0.0327,
|
1718 |
+
"step": 2440
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 0.9757068896853843,
|
1722 |
+
"grad_norm": 0.5939168334007263,
|
1723 |
+
"learning_rate": 8.996933635496523e-05,
|
1724 |
+
"loss": 0.0314,
|
1725 |
+
"step": 2450
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 0.9796893667861409,
|
1729 |
+
"grad_norm": 0.7387416958808899,
|
1730 |
+
"learning_rate": 8.986977473783498e-05,
|
1731 |
+
"loss": 0.0374,
|
1732 |
+
"step": 2460
|
1733 |
+
},
|
1734 |
+
{
|
1735 |
+
"epoch": 0.9836718438868977,
|
1736 |
+
"grad_norm": 0.48453521728515625,
|
1737 |
+
"learning_rate": 8.97697771112359e-05,
|
1738 |
+
"loss": 0.0317,
|
1739 |
+
"step": 2470
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 0.9876543209876543,
|
1743 |
+
"grad_norm": 0.40206247568130493,
|
1744 |
+
"learning_rate": 8.966934456872602e-05,
|
1745 |
+
"loss": 0.0303,
|
1746 |
+
"step": 2480
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 0.991636798088411,
|
1750 |
+
"grad_norm": 0.5897948741912842,
|
1751 |
+
"learning_rate": 8.95684782086195e-05,
|
1752 |
+
"loss": 0.0293,
|
1753 |
+
"step": 2490
|
1754 |
+
},
|
1755 |
+
{
|
1756 |
+
"epoch": 0.9956192751891677,
|
1757 |
+
"grad_norm": 0.3984488546848297,
|
1758 |
+
"learning_rate": 8.946717913397476e-05,
|
1759 |
+
"loss": 0.0374,
|
1760 |
+
"step": 2500
|
1761 |
+
},
|
1762 |
+
{
|
1763 |
+
"epoch": 0.9996017522899243,
|
1764 |
+
"grad_norm": 0.3679232597351074,
|
1765 |
+
"learning_rate": 8.93654484525822e-05,
|
1766 |
+
"loss": 0.0311,
|
1767 |
+
"step": 2510
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 1.003584229390681,
|
1771 |
+
"grad_norm": 0.3514699637889862,
|
1772 |
+
"learning_rate": 8.926328727695226e-05,
|
1773 |
+
"loss": 0.0282,
|
1774 |
+
"step": 2520
|
1775 |
+
},
|
1776 |
+
{
|
1777 |
+
"epoch": 1.0075667064914378,
|
1778 |
+
"grad_norm": 0.34111514687538147,
|
1779 |
+
"learning_rate": 8.916069672430319e-05,
|
1780 |
+
"loss": 0.0272,
|
1781 |
+
"step": 2530
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 1.0115491835921944,
|
1785 |
+
"grad_norm": 0.3726666569709778,
|
1786 |
+
"learning_rate": 8.905767791654884e-05,
|
1787 |
+
"loss": 0.0315,
|
1788 |
+
"step": 2540
|
1789 |
+
},
|
1790 |
+
{
|
1791 |
+
"epoch": 1.015531660692951,
|
1792 |
+
"grad_norm": 0.5761587619781494,
|
1793 |
+
"learning_rate": 8.895423198028638e-05,
|
1794 |
+
"loss": 0.0363,
|
1795 |
+
"step": 2550
|
1796 |
+
},
|
1797 |
+
{
|
1798 |
+
"epoch": 1.0195141377937076,
|
1799 |
+
"grad_norm": 0.5593805909156799,
|
1800 |
+
"learning_rate": 8.885036004678402e-05,
|
1801 |
+
"loss": 0.0311,
|
1802 |
+
"step": 2560
|
1803 |
+
},
|
1804 |
+
{
|
1805 |
+
"epoch": 1.0234966148944644,
|
1806 |
+
"grad_norm": 0.3937326669692993,
|
1807 |
+
"learning_rate": 8.874606325196857e-05,
|
1808 |
+
"loss": 0.0339,
|
1809 |
+
"step": 2570
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 1.027479091995221,
|
1813 |
+
"grad_norm": 0.5169225931167603,
|
1814 |
+
"learning_rate": 8.864134273641304e-05,
|
1815 |
+
"loss": 0.03,
|
1816 |
+
"step": 2580
|
1817 |
+
},
|
1818 |
+
{
|
1819 |
+
"epoch": 1.0314615690959776,
|
1820 |
+
"grad_norm": 0.5744480490684509,
|
1821 |
+
"learning_rate": 8.853619964532427e-05,
|
1822 |
+
"loss": 0.0324,
|
1823 |
+
"step": 2590
|
1824 |
+
},
|
1825 |
+
{
|
1826 |
+
"epoch": 1.0354440461967345,
|
1827 |
+
"grad_norm": 0.555366039276123,
|
1828 |
+
"learning_rate": 8.843063512853019e-05,
|
1829 |
+
"loss": 0.0289,
|
1830 |
+
"step": 2600
|
1831 |
+
},
|
1832 |
+
{
|
1833 |
+
"epoch": 1.039426523297491,
|
1834 |
+
"grad_norm": 0.4377165734767914,
|
1835 |
+
"learning_rate": 8.832465034046749e-05,
|
1836 |
+
"loss": 0.0296,
|
1837 |
+
"step": 2610
|
1838 |
+
},
|
1839 |
+
{
|
1840 |
+
"epoch": 1.0434090003982477,
|
1841 |
+
"grad_norm": 0.5874027013778687,
|
1842 |
+
"learning_rate": 8.821824644016882e-05,
|
1843 |
+
"loss": 0.0317,
|
1844 |
+
"step": 2620
|
1845 |
+
},
|
1846 |
+
{
|
1847 |
+
"epoch": 1.0473914774990043,
|
1848 |
+
"grad_norm": 0.7405006289482117,
|
1849 |
+
"learning_rate": 8.811142459125019e-05,
|
1850 |
+
"loss": 0.0308,
|
1851 |
+
"step": 2630
|
1852 |
+
},
|
1853 |
+
{
|
1854 |
+
"epoch": 1.0513739545997611,
|
1855 |
+
"grad_norm": 0.4106619954109192,
|
1856 |
+
"learning_rate": 8.800418596189822e-05,
|
1857 |
+
"loss": 0.0252,
|
1858 |
+
"step": 2640
|
1859 |
+
},
|
1860 |
+
{
|
1861 |
+
"epoch": 1.0553564317005177,
|
1862 |
+
"grad_norm": 0.510388195514679,
|
1863 |
+
"learning_rate": 8.789653172485737e-05,
|
1864 |
+
"loss": 0.0297,
|
1865 |
+
"step": 2650
|
1866 |
+
},
|
1867 |
+
{
|
1868 |
+
"epoch": 1.0593389088012743,
|
1869 |
+
"grad_norm": 0.5874786972999573,
|
1870 |
+
"learning_rate": 8.778846305741715e-05,
|
1871 |
+
"loss": 0.0359,
|
1872 |
+
"step": 2660
|
1873 |
+
},
|
1874 |
+
{
|
1875 |
+
"epoch": 1.063321385902031,
|
1876 |
+
"grad_norm": 0.5348223447799683,
|
1877 |
+
"learning_rate": 8.767998114139918e-05,
|
1878 |
+
"loss": 0.0313,
|
1879 |
+
"step": 2670
|
1880 |
+
},
|
1881 |
+
{
|
1882 |
+
"epoch": 1.0673038630027878,
|
1883 |
+
"grad_norm": 0.3929119408130646,
|
1884 |
+
"learning_rate": 8.757108716314429e-05,
|
1885 |
+
"loss": 0.0329,
|
1886 |
+
"step": 2680
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 1.0712863401035444,
|
1890 |
+
"grad_norm": 0.5612719058990479,
|
1891 |
+
"learning_rate": 8.746178231349962e-05,
|
1892 |
+
"loss": 0.0312,
|
1893 |
+
"step": 2690
|
1894 |
+
},
|
1895 |
+
{
|
1896 |
+
"epoch": 1.075268817204301,
|
1897 |
+
"grad_norm": 0.37800925970077515,
|
1898 |
+
"learning_rate": 8.735206778780549e-05,
|
1899 |
+
"loss": 0.0349,
|
1900 |
+
"step": 2700
|
1901 |
+
},
|
1902 |
+
{
|
1903 |
+
"epoch": 1.0792512943050578,
|
1904 |
+
"grad_norm": 0.43637755513191223,
|
1905 |
+
"learning_rate": 8.724194478588234e-05,
|
1906 |
+
"loss": 0.0307,
|
1907 |
+
"step": 2710
|
1908 |
+
},
|
1909 |
+
{
|
1910 |
+
"epoch": 1.0832337714058144,
|
1911 |
+
"grad_norm": 0.3608951270580292,
|
1912 |
+
"learning_rate": 8.713141451201772e-05,
|
1913 |
+
"loss": 0.0277,
|
1914 |
+
"step": 2720
|
1915 |
+
},
|
1916 |
+
{
|
1917 |
+
"epoch": 1.087216248506571,
|
1918 |
+
"grad_norm": 0.5240746140480042,
|
1919 |
+
"learning_rate": 8.702047817495295e-05,
|
1920 |
+
"loss": 0.0302,
|
1921 |
+
"step": 2730
|
1922 |
+
},
|
1923 |
+
{
|
1924 |
+
"epoch": 1.0911987256073277,
|
1925 |
+
"grad_norm": 0.3599265515804291,
|
1926 |
+
"learning_rate": 8.69091369878701e-05,
|
1927 |
+
"loss": 0.0313,
|
1928 |
+
"step": 2740
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 1.0951812027080845,
|
1932 |
+
"grad_norm": 0.6075289845466614,
|
1933 |
+
"learning_rate": 8.679739216837849e-05,
|
1934 |
+
"loss": 0.0296,
|
1935 |
+
"step": 2750
|
1936 |
+
},
|
1937 |
+
{
|
1938 |
+
"epoch": 1.099163679808841,
|
1939 |
+
"grad_norm": 0.4289771318435669,
|
1940 |
+
"learning_rate": 8.66852449385016e-05,
|
1941 |
+
"loss": 0.0276,
|
1942 |
+
"step": 2760
|
1943 |
+
},
|
1944 |
+
{
|
1945 |
+
"epoch": 1.1031461569095977,
|
1946 |
+
"grad_norm": 0.3706158697605133,
|
1947 |
+
"learning_rate": 8.657269652466356e-05,
|
1948 |
+
"loss": 0.0278,
|
1949 |
+
"step": 2770
|
1950 |
+
},
|
1951 |
+
{
|
1952 |
+
"epoch": 1.1071286340103543,
|
1953 |
+
"grad_norm": 0.6201577186584473,
|
1954 |
+
"learning_rate": 8.645974815767577e-05,
|
1955 |
+
"loss": 0.0315,
|
1956 |
+
"step": 2780
|
1957 |
+
},
|
1958 |
+
{
|
1959 |
+
"epoch": 1.1111111111111112,
|
1960 |
+
"grad_norm": 0.5606251358985901,
|
1961 |
+
"learning_rate": 8.634640107272351e-05,
|
1962 |
+
"loss": 0.0274,
|
1963 |
+
"step": 2790
|
1964 |
+
},
|
1965 |
+
{
|
1966 |
+
"epoch": 1.1150935882118678,
|
1967 |
+
"grad_norm": 0.4653207063674927,
|
1968 |
+
"learning_rate": 8.623265650935234e-05,
|
1969 |
+
"loss": 0.0293,
|
1970 |
+
"step": 2800
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"epoch": 1.1190760653126244,
|
1974 |
+
"grad_norm": 0.4102509915828705,
|
1975 |
+
"learning_rate": 8.611851571145456e-05,
|
1976 |
+
"loss": 0.0311,
|
1977 |
+
"step": 2810
|
1978 |
+
},
|
1979 |
+
{
|
1980 |
+
"epoch": 1.1230585424133812,
|
1981 |
+
"grad_norm": 0.5217996835708618,
|
1982 |
+
"learning_rate": 8.600397992725566e-05,
|
1983 |
+
"loss": 0.0248,
|
1984 |
+
"step": 2820
|
1985 |
+
},
|
1986 |
+
{
|
1987 |
+
"epoch": 1.1270410195141378,
|
1988 |
+
"grad_norm": 0.5519301295280457,
|
1989 |
+
"learning_rate": 8.588905040930061e-05,
|
1990 |
+
"loss": 0.0314,
|
1991 |
+
"step": 2830
|
1992 |
+
},
|
1993 |
+
{
|
1994 |
+
"epoch": 1.1310234966148944,
|
1995 |
+
"grad_norm": 0.43869367241859436,
|
1996 |
+
"learning_rate": 8.577372841444022e-05,
|
1997 |
+
"loss": 0.0289,
|
1998 |
+
"step": 2840
|
1999 |
+
},
|
2000 |
+
{
|
2001 |
+
"epoch": 1.135005973715651,
|
2002 |
+
"grad_norm": 0.4673241078853607,
|
2003 |
+
"learning_rate": 8.565801520381736e-05,
|
2004 |
+
"loss": 0.026,
|
2005 |
+
"step": 2850
|
2006 |
+
},
|
2007 |
+
{
|
2008 |
+
"epoch": 1.1389884508164079,
|
2009 |
+
"grad_norm": 0.4510667622089386,
|
2010 |
+
"learning_rate": 8.554191204285313e-05,
|
2011 |
+
"loss": 0.0319,
|
2012 |
+
"step": 2860
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 1.1429709279171645,
|
2016 |
+
"grad_norm": 0.473105788230896,
|
2017 |
+
"learning_rate": 8.542542020123315e-05,
|
2018 |
+
"loss": 0.032,
|
2019 |
+
"step": 2870
|
2020 |
+
},
|
2021 |
+
{
|
2022 |
+
"epoch": 1.146953405017921,
|
2023 |
+
"grad_norm": 0.4328536093235016,
|
2024 |
+
"learning_rate": 8.530854095289347e-05,
|
2025 |
+
"loss": 0.029,
|
2026 |
+
"step": 2880
|
2027 |
+
},
|
2028 |
+
{
|
2029 |
+
"epoch": 1.1509358821186777,
|
2030 |
+
"grad_norm": 0.45955684781074524,
|
2031 |
+
"learning_rate": 8.519127557600688e-05,
|
2032 |
+
"loss": 0.0274,
|
2033 |
+
"step": 2890
|
2034 |
+
},
|
2035 |
+
{
|
2036 |
+
"epoch": 1.1549183592194345,
|
2037 |
+
"grad_norm": 0.3034651577472687,
|
2038 |
+
"learning_rate": 8.507362535296871e-05,
|
2039 |
+
"loss": 0.0286,
|
2040 |
+
"step": 2900
|
2041 |
+
},
|
2042 |
+
{
|
2043 |
+
"epoch": 1.1589008363201911,
|
2044 |
+
"grad_norm": 0.6441288590431213,
|
2045 |
+
"learning_rate": 8.495559157038299e-05,
|
2046 |
+
"loss": 0.0377,
|
2047 |
+
"step": 2910
|
2048 |
+
},
|
2049 |
+
{
|
2050 |
+
"epoch": 1.1628833134209478,
|
2051 |
+
"grad_norm": 0.43017473816871643,
|
2052 |
+
"learning_rate": 8.483717551904823e-05,
|
2053 |
+
"loss": 0.0297,
|
2054 |
+
"step": 2920
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 1.1668657905217046,
|
2058 |
+
"grad_norm": 0.5794181227684021,
|
2059 |
+
"learning_rate": 8.47183784939434e-05,
|
2060 |
+
"loss": 0.0281,
|
2061 |
+
"step": 2930
|
2062 |
+
},
|
2063 |
+
{
|
2064 |
+
"epoch": 1.1708482676224612,
|
2065 |
+
"grad_norm": 0.32613155245780945,
|
2066 |
+
"learning_rate": 8.459920179421374e-05,
|
2067 |
+
"loss": 0.0324,
|
2068 |
+
"step": 2940
|
2069 |
+
},
|
2070 |
+
{
|
2071 |
+
"epoch": 1.1748307447232178,
|
2072 |
+
"grad_norm": 0.514627993106842,
|
2073 |
+
"learning_rate": 8.447964672315656e-05,
|
2074 |
+
"loss": 0.0275,
|
2075 |
+
"step": 2950
|
2076 |
+
},
|
2077 |
+
{
|
2078 |
+
"epoch": 1.1788132218239746,
|
2079 |
+
"grad_norm": 0.30379730463027954,
|
2080 |
+
"learning_rate": 8.435971458820692e-05,
|
2081 |
+
"loss": 0.0322,
|
2082 |
+
"step": 2960
|
2083 |
+
},
|
2084 |
+
{
|
2085 |
+
"epoch": 1.1827956989247312,
|
2086 |
+
"grad_norm": 0.5878794193267822,
|
2087 |
+
"learning_rate": 8.423940670092345e-05,
|
2088 |
+
"loss": 0.0318,
|
2089 |
+
"step": 2970
|
2090 |
+
},
|
2091 |
+
{
|
2092 |
+
"epoch": 1.1867781760254879,
|
2093 |
+
"grad_norm": 0.3879925012588501,
|
2094 |
+
"learning_rate": 8.411872437697394e-05,
|
2095 |
+
"loss": 0.0323,
|
2096 |
+
"step": 2980
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 1.1907606531262445,
|
2100 |
+
"grad_norm": 0.2640171945095062,
|
2101 |
+
"learning_rate": 8.399766893612096e-05,
|
2102 |
+
"loss": 0.0265,
|
2103 |
+
"step": 2990
|
2104 |
+
},
|
2105 |
+
{
|
2106 |
+
"epoch": 1.194743130227001,
|
2107 |
+
"grad_norm": 0.4299219846725464,
|
2108 |
+
"learning_rate": 8.38762417022074e-05,
|
2109 |
+
"loss": 0.0312,
|
2110 |
+
"step": 3000
|
2111 |
+
},
|
2112 |
+
{
|
2113 |
+
"epoch": 1.198725607327758,
|
2114 |
+
"grad_norm": 0.3073621690273285,
|
2115 |
+
"learning_rate": 8.375444400314204e-05,
|
2116 |
+
"loss": 0.0253,
|
2117 |
+
"step": 3010
|
2118 |
+
},
|
2119 |
+
{
|
2120 |
+
"epoch": 1.2027080844285145,
|
2121 |
+
"grad_norm": 0.26146814227104187,
|
2122 |
+
"learning_rate": 8.3632277170885e-05,
|
2123 |
+
"loss": 0.0312,
|
2124 |
+
"step": 3020
|
2125 |
+
},
|
2126 |
+
{
|
2127 |
+
"epoch": 1.2066905615292711,
|
2128 |
+
"grad_norm": 0.2975267767906189,
|
2129 |
+
"learning_rate": 8.350974254143318e-05,
|
2130 |
+
"loss": 0.0271,
|
2131 |
+
"step": 3030
|
2132 |
+
},
|
2133 |
+
{
|
2134 |
+
"epoch": 1.210673038630028,
|
2135 |
+
"grad_norm": 0.20422956347465515,
|
2136 |
+
"learning_rate": 8.338684145480566e-05,
|
2137 |
+
"loss": 0.0259,
|
2138 |
+
"step": 3040
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 1.2146555157307846,
|
2142 |
+
"grad_norm": 0.31191202998161316,
|
2143 |
+
"learning_rate": 8.326357525502904e-05,
|
2144 |
+
"loss": 0.0304,
|
2145 |
+
"step": 3050
|
2146 |
+
},
|
2147 |
+
{
|
2148 |
+
"epoch": 1.2186379928315412,
|
2149 |
+
"grad_norm": 0.5126979947090149,
|
2150 |
+
"learning_rate": 8.313994529012273e-05,
|
2151 |
+
"loss": 0.0294,
|
2152 |
+
"step": 3060
|
2153 |
+
},
|
2154 |
+
{
|
2155 |
+
"epoch": 1.222620469932298,
|
2156 |
+
"grad_norm": 0.3219705820083618,
|
2157 |
+
"learning_rate": 8.301595291208422e-05,
|
2158 |
+
"loss": 0.0305,
|
2159 |
+
"step": 3070
|
2160 |
+
},
|
2161 |
+
{
|
2162 |
+
"epoch": 1.2266029470330546,
|
2163 |
+
"grad_norm": 0.4278619587421417,
|
2164 |
+
"learning_rate": 8.289159947687427e-05,
|
2165 |
+
"loss": 0.0297,
|
2166 |
+
"step": 3080
|
2167 |
+
},
|
2168 |
+
{
|
2169 |
+
"epoch": 1.2305854241338112,
|
2170 |
+
"grad_norm": 0.5774158239364624,
|
2171 |
+
"learning_rate": 8.276688634440216e-05,
|
2172 |
+
"loss": 0.0296,
|
2173 |
+
"step": 3090
|
2174 |
+
},
|
2175 |
+
{
|
2176 |
+
"epoch": 1.2345679012345678,
|
2177 |
+
"grad_norm": 0.5146026015281677,
|
2178 |
+
"learning_rate": 8.26418148785107e-05,
|
2179 |
+
"loss": 0.0311,
|
2180 |
+
"step": 3100
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"epoch": 1.2385503783353247,
|
2184 |
+
"grad_norm": 0.347504198551178,
|
2185 |
+
"learning_rate": 8.251638644696141e-05,
|
2186 |
+
"loss": 0.0345,
|
2187 |
+
"step": 3110
|
2188 |
+
},
|
2189 |
+
{
|
2190 |
+
"epoch": 1.2425328554360813,
|
2191 |
+
"grad_norm": 0.5153434872627258,
|
2192 |
+
"learning_rate": 8.23906024214195e-05,
|
2193 |
+
"loss": 0.0276,
|
2194 |
+
"step": 3120
|
2195 |
+
},
|
2196 |
+
{
|
2197 |
+
"epoch": 1.2465153325368379,
|
2198 |
+
"grad_norm": 0.31597134470939636,
|
2199 |
+
"learning_rate": 8.226446417743897e-05,
|
2200 |
+
"loss": 0.0343,
|
2201 |
+
"step": 3130
|
2202 |
+
},
|
2203 |
+
{
|
2204 |
+
"epoch": 1.2504978096375945,
|
2205 |
+
"grad_norm": 0.4005573093891144,
|
2206 |
+
"learning_rate": 8.213797309444742e-05,
|
2207 |
+
"loss": 0.0294,
|
2208 |
+
"step": 3140
|
2209 |
+
},
|
2210 |
+
{
|
2211 |
+
"epoch": 1.2544802867383513,
|
2212 |
+
"grad_norm": 0.3009648025035858,
|
2213 |
+
"learning_rate": 8.201113055573105e-05,
|
2214 |
+
"loss": 0.0287,
|
2215 |
+
"step": 3150
|
2216 |
+
},
|
2217 |
+
{
|
2218 |
+
"epoch": 1.258462763839108,
|
2219 |
+
"grad_norm": 0.6014096140861511,
|
2220 |
+
"learning_rate": 8.188393794841958e-05,
|
2221 |
+
"loss": 0.0261,
|
2222 |
+
"step": 3160
|
2223 |
+
},
|
2224 |
+
{
|
2225 |
+
"epoch": 1.2624452409398645,
|
2226 |
+
"grad_norm": 0.38871604204177856,
|
2227 |
+
"learning_rate": 8.175639666347094e-05,
|
2228 |
+
"loss": 0.0316,
|
2229 |
+
"step": 3170
|
2230 |
+
},
|
2231 |
+
{
|
2232 |
+
"epoch": 1.2664277180406214,
|
2233 |
+
"grad_norm": 0.4298296570777893,
|
2234 |
+
"learning_rate": 8.162850809565623e-05,
|
2235 |
+
"loss": 0.0248,
|
2236 |
+
"step": 3180
|
2237 |
+
},
|
2238 |
+
{
|
2239 |
+
"epoch": 1.270410195141378,
|
2240 |
+
"grad_norm": 0.3726460039615631,
|
2241 |
+
"learning_rate": 8.150027364354431e-05,
|
2242 |
+
"loss": 0.0312,
|
2243 |
+
"step": 3190
|
2244 |
+
},
|
2245 |
+
{
|
2246 |
+
"epoch": 1.2743926722421346,
|
2247 |
+
"grad_norm": 0.5679003000259399,
|
2248 |
+
"learning_rate": 8.137169470948662e-05,
|
2249 |
+
"loss": 0.0346,
|
2250 |
+
"step": 3200
|
2251 |
+
},
|
2252 |
+
{
|
2253 |
+
"epoch": 1.2783751493428912,
|
2254 |
+
"grad_norm": 0.3676661252975464,
|
2255 |
+
"learning_rate": 8.124277269960179e-05,
|
2256 |
+
"loss": 0.0298,
|
2257 |
+
"step": 3210
|
2258 |
+
},
|
2259 |
+
{
|
2260 |
+
"epoch": 1.2823576264436478,
|
2261 |
+
"grad_norm": 0.34625566005706787,
|
2262 |
+
"learning_rate": 8.111350902376023e-05,
|
2263 |
+
"loss": 0.0276,
|
2264 |
+
"step": 3220
|
2265 |
+
},
|
2266 |
+
{
|
2267 |
+
"epoch": 1.2863401035444046,
|
2268 |
+
"grad_norm": 0.37914222478866577,
|
2269 |
+
"learning_rate": 8.098390509556883e-05,
|
2270 |
+
"loss": 0.028,
|
2271 |
+
"step": 3230
|
2272 |
+
},
|
2273 |
+
{
|
2274 |
+
"epoch": 1.2903225806451613,
|
2275 |
+
"grad_norm": 0.6115908622741699,
|
2276 |
+
"learning_rate": 8.085396233235536e-05,
|
2277 |
+
"loss": 0.027,
|
2278 |
+
"step": 3240
|
2279 |
+
},
|
2280 |
+
{
|
2281 |
+
"epoch": 1.2943050577459179,
|
2282 |
+
"grad_norm": 0.3943430781364441,
|
2283 |
+
"learning_rate": 8.072368215515306e-05,
|
2284 |
+
"loss": 0.0264,
|
2285 |
+
"step": 3250
|
2286 |
+
},
|
2287 |
+
{
|
2288 |
+
"epoch": 1.2982875348466747,
|
2289 |
+
"grad_norm": 0.4377286434173584,
|
2290 |
+
"learning_rate": 8.059306598868506e-05,
|
2291 |
+
"loss": 0.0334,
|
2292 |
+
"step": 3260
|
2293 |
+
},
|
2294 |
+
{
|
2295 |
+
"epoch": 1.3022700119474313,
|
2296 |
+
"grad_norm": 0.28060171008110046,
|
2297 |
+
"learning_rate": 8.046211526134888e-05,
|
2298 |
+
"loss": 0.0284,
|
2299 |
+
"step": 3270
|
2300 |
+
},
|
2301 |
+
{
|
2302 |
+
"epoch": 1.306252489048188,
|
2303 |
+
"grad_norm": 0.4140307605266571,
|
2304 |
+
"learning_rate": 8.033083140520065e-05,
|
2305 |
+
"loss": 0.027,
|
2306 |
+
"step": 3280
|
2307 |
+
},
|
2308 |
+
{
|
2309 |
+
"epoch": 1.3102349661489447,
|
2310 |
+
"grad_norm": 0.334888756275177,
|
2311 |
+
"learning_rate": 8.019921585593962e-05,
|
2312 |
+
"loss": 0.0295,
|
2313 |
+
"step": 3290
|
2314 |
+
},
|
2315 |
+
{
|
2316 |
+
"epoch": 1.3142174432497014,
|
2317 |
+
"grad_norm": 0.5044397115707397,
|
2318 |
+
"learning_rate": 8.006727005289232e-05,
|
2319 |
+
"loss": 0.0239,
|
2320 |
+
"step": 3300
|
2321 |
+
},
|
2322 |
+
{
|
2323 |
+
"epoch": 1.318199920350458,
|
2324 |
+
"grad_norm": 0.39227598905563354,
|
2325 |
+
"learning_rate": 7.993499543899692e-05,
|
2326 |
+
"loss": 0.029,
|
2327 |
+
"step": 3310
|
2328 |
+
},
|
2329 |
+
{
|
2330 |
+
"epoch": 1.3221823974512146,
|
2331 |
+
"grad_norm": 0.5009192824363708,
|
2332 |
+
"learning_rate": 7.980239346078742e-05,
|
2333 |
+
"loss": 0.0276,
|
2334 |
+
"step": 3320
|
2335 |
+
},
|
2336 |
+
{
|
2337 |
+
"epoch": 1.3261648745519714,
|
2338 |
+
"grad_norm": 0.33442339301109314,
|
2339 |
+
"learning_rate": 7.966946556837778e-05,
|
2340 |
+
"loss": 0.025,
|
2341 |
+
"step": 3330
|
2342 |
+
},
|
2343 |
+
{
|
2344 |
+
"epoch": 1.330147351652728,
|
2345 |
+
"grad_norm": 0.44179999828338623,
|
2346 |
+
"learning_rate": 7.953621321544616e-05,
|
2347 |
+
"loss": 0.0292,
|
2348 |
+
"step": 3340
|
2349 |
+
},
|
2350 |
+
{
|
2351 |
+
"epoch": 1.3341298287534846,
|
2352 |
+
"grad_norm": 0.48963797092437744,
|
2353 |
+
"learning_rate": 7.940263785921896e-05,
|
2354 |
+
"loss": 0.0287,
|
2355 |
+
"step": 3350
|
2356 |
+
},
|
2357 |
+
{
|
2358 |
+
"epoch": 1.3381123058542412,
|
2359 |
+
"grad_norm": 0.35747164487838745,
|
2360 |
+
"learning_rate": 7.926874096045482e-05,
|
2361 |
+
"loss": 0.0257,
|
2362 |
+
"step": 3360
|
2363 |
+
},
|
2364 |
+
{
|
2365 |
+
"epoch": 1.342094782954998,
|
2366 |
+
"grad_norm": 0.6534529328346252,
|
2367 |
+
"learning_rate": 7.913452398342881e-05,
|
2368 |
+
"loss": 0.036,
|
2369 |
+
"step": 3370
|
2370 |
+
},
|
2371 |
+
{
|
2372 |
+
"epoch": 1.3460772600557547,
|
2373 |
+
"grad_norm": 0.4266543686389923,
|
2374 |
+
"learning_rate": 7.89999883959163e-05,
|
2375 |
+
"loss": 0.0307,
|
2376 |
+
"step": 3380
|
2377 |
+
},
|
2378 |
+
{
|
2379 |
+
"epoch": 1.3500597371565113,
|
2380 |
+
"grad_norm": 0.5537866950035095,
|
2381 |
+
"learning_rate": 7.886513566917687e-05,
|
2382 |
+
"loss": 0.0307,
|
2383 |
+
"step": 3390
|
2384 |
+
},
|
2385 |
+
{
|
2386 |
+
"epoch": 1.3540422142572681,
|
2387 |
+
"grad_norm": 0.35446301102638245,
|
2388 |
+
"learning_rate": 7.872996727793838e-05,
|
2389 |
+
"loss": 0.0323,
|
2390 |
+
"step": 3400
|
2391 |
+
},
|
2392 |
+
{
|
2393 |
+
"epoch": 1.3580246913580247,
|
2394 |
+
"grad_norm": 0.4526813328266144,
|
2395 |
+
"learning_rate": 7.859448470038069e-05,
|
2396 |
+
"loss": 0.0275,
|
2397 |
+
"step": 3410
|
2398 |
+
},
|
2399 |
+
{
|
2400 |
+
"epoch": 1.3620071684587813,
|
2401 |
+
"grad_norm": 0.49604639410972595,
|
2402 |
+
"learning_rate": 7.845868941811956e-05,
|
2403 |
+
"loss": 0.0317,
|
2404 |
+
"step": 3420
|
2405 |
+
},
|
2406 |
+
{
|
2407 |
+
"epoch": 1.3659896455595382,
|
2408 |
+
"grad_norm": 0.3144626319408417,
|
2409 |
+
"learning_rate": 7.832258291619043e-05,
|
2410 |
+
"loss": 0.0276,
|
2411 |
+
"step": 3430
|
2412 |
+
},
|
2413 |
+
{
|
2414 |
+
"epoch": 1.3699721226602948,
|
2415 |
+
"grad_norm": 0.5718449354171753,
|
2416 |
+
"learning_rate": 7.81861666830322e-05,
|
2417 |
+
"loss": 0.0261,
|
2418 |
+
"step": 3440
|
2419 |
+
},
|
2420 |
+
{
|
2421 |
+
"epoch": 1.3739545997610514,
|
2422 |
+
"grad_norm": 0.3567497134208679,
|
2423 |
+
"learning_rate": 7.804944221047097e-05,
|
2424 |
+
"loss": 0.027,
|
2425 |
+
"step": 3450
|
2426 |
+
},
|
2427 |
+
{
|
2428 |
+
"epoch": 1.377937076861808,
|
2429 |
+
"grad_norm": 0.5491267442703247,
|
2430 |
+
"learning_rate": 7.791241099370364e-05,
|
2431 |
+
"loss": 0.033,
|
2432 |
+
"step": 3460
|
2433 |
+
},
|
2434 |
+
{
|
2435 |
+
"epoch": 1.3819195539625646,
|
2436 |
+
"grad_norm": 0.46909114718437195,
|
2437 |
+
"learning_rate": 7.777507453128163e-05,
|
2438 |
+
"loss": 0.0298,
|
2439 |
+
"step": 3470
|
2440 |
+
},
|
2441 |
+
{
|
2442 |
+
"epoch": 1.3859020310633214,
|
2443 |
+
"grad_norm": 0.4308125376701355,
|
2444 |
+
"learning_rate": 7.763743432509451e-05,
|
2445 |
+
"loss": 0.0278,
|
2446 |
+
"step": 3480
|
2447 |
+
},
|
2448 |
+
{
|
2449 |
+
"epoch": 1.389884508164078,
|
2450 |
+
"grad_norm": 0.4042797088623047,
|
2451 |
+
"learning_rate": 7.749949188035353e-05,
|
2452 |
+
"loss": 0.0312,
|
2453 |
+
"step": 3490
|
2454 |
+
},
|
2455 |
+
{
|
2456 |
+
"epoch": 1.3938669852648347,
|
2457 |
+
"grad_norm": 0.4012243151664734,
|
2458 |
+
"learning_rate": 7.736124870557516e-05,
|
2459 |
+
"loss": 0.0296,
|
2460 |
+
"step": 3500
|
2461 |
+
},
|
2462 |
+
{
|
2463 |
+
"epoch": 1.3978494623655915,
|
2464 |
+
"grad_norm": 0.31076422333717346,
|
2465 |
+
"learning_rate": 7.722270631256459e-05,
|
2466 |
+
"loss": 0.0306,
|
2467 |
+
"step": 3510
|
2468 |
+
},
|
2469 |
+
{
|
2470 |
+
"epoch": 1.401831939466348,
|
2471 |
+
"grad_norm": 0.4105532467365265,
|
2472 |
+
"learning_rate": 7.708386621639925e-05,
|
2473 |
+
"loss": 0.0262,
|
2474 |
+
"step": 3520
|
2475 |
+
},
|
2476 |
+
{
|
2477 |
+
"epoch": 1.4058144165671047,
|
2478 |
+
"grad_norm": 0.4460810124874115,
|
2479 |
+
"learning_rate": 7.694472993541219e-05,
|
2480 |
+
"loss": 0.0269,
|
2481 |
+
"step": 3530
|
2482 |
+
},
|
2483 |
+
{
|
2484 |
+
"epoch": 1.4097968936678615,
|
2485 |
+
"grad_norm": 0.4327501952648163,
|
2486 |
+
"learning_rate": 7.680529899117547e-05,
|
2487 |
+
"loss": 0.0313,
|
2488 |
+
"step": 3540
|
2489 |
+
},
|
2490 |
+
{
|
2491 |
+
"epoch": 1.4137793707686181,
|
2492 |
+
"grad_norm": 0.4426930248737335,
|
2493 |
+
"learning_rate": 7.666557490848358e-05,
|
2494 |
+
"loss": 0.0289,
|
2495 |
+
"step": 3550
|
2496 |
+
},
|
2497 |
+
{
|
2498 |
+
"epoch": 1.4177618478693748,
|
2499 |
+
"grad_norm": 0.4433678388595581,
|
2500 |
+
"learning_rate": 7.65255592153367e-05,
|
2501 |
+
"loss": 0.0307,
|
2502 |
+
"step": 3560
|
2503 |
+
},
|
2504 |
+
{
|
2505 |
+
"epoch": 1.4217443249701314,
|
2506 |
+
"grad_norm": 0.39277946949005127,
|
2507 |
+
"learning_rate": 7.638525344292402e-05,
|
2508 |
+
"loss": 0.0321,
|
2509 |
+
"step": 3570
|
2510 |
+
},
|
2511 |
+
{
|
2512 |
+
"epoch": 1.425726802070888,
|
2513 |
+
"grad_norm": 0.4349759817123413,
|
2514 |
+
"learning_rate": 7.624465912560697e-05,
|
2515 |
+
"loss": 0.0319,
|
2516 |
+
"step": 3580
|
2517 |
+
},
|
2518 |
+
{
|
2519 |
+
"epoch": 1.4297092791716448,
|
2520 |
+
"grad_norm": 0.36243054270744324,
|
2521 |
+
"learning_rate": 7.610377780090249e-05,
|
2522 |
+
"loss": 0.025,
|
2523 |
+
"step": 3590
|
2524 |
+
},
|
2525 |
+
{
|
2526 |
+
"epoch": 1.4336917562724014,
|
2527 |
+
"grad_norm": 0.23596417903900146,
|
2528 |
+
"learning_rate": 7.596261100946618e-05,
|
2529 |
+
"loss": 0.0274,
|
2530 |
+
"step": 3600
|
2531 |
+
},
|
2532 |
+
{
|
2533 |
+
"epoch": 1.437674233373158,
|
2534 |
+
"grad_norm": 0.3828240633010864,
|
2535 |
+
"learning_rate": 7.582116029507542e-05,
|
2536 |
+
"loss": 0.0259,
|
2537 |
+
"step": 3610
|
2538 |
+
},
|
2539 |
+
{
|
2540 |
+
"epoch": 1.4416567104739149,
|
2541 |
+
"grad_norm": 0.4790317714214325,
|
2542 |
+
"learning_rate": 7.56794272046126e-05,
|
2543 |
+
"loss": 0.0278,
|
2544 |
+
"step": 3620
|
2545 |
+
},
|
2546 |
+
{
|
2547 |
+
"epoch": 1.4456391875746715,
|
2548 |
+
"grad_norm": 0.46134695410728455,
|
2549 |
+
"learning_rate": 7.55374132880481e-05,
|
2550 |
+
"loss": 0.0298,
|
2551 |
+
"step": 3630
|
2552 |
+
},
|
2553 |
+
{
|
2554 |
+
"epoch": 1.449621664675428,
|
2555 |
+
"grad_norm": 0.4513108730316162,
|
2556 |
+
"learning_rate": 7.539512009842333e-05,
|
2557 |
+
"loss": 0.0313,
|
2558 |
+
"step": 3640
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 1.453604141776185,
|
2562 |
+
"grad_norm": 0.5272055268287659,
|
2563 |
+
"learning_rate": 7.525254919183382e-05,
|
2564 |
+
"loss": 0.0283,
|
2565 |
+
"step": 3650
|
2566 |
+
},
|
2567 |
+
{
|
2568 |
+
"epoch": 1.4575866188769415,
|
2569 |
+
"grad_norm": 0.43485143780708313,
|
2570 |
+
"learning_rate": 7.510970212741215e-05,
|
2571 |
+
"loss": 0.0272,
|
2572 |
+
"step": 3660
|
2573 |
+
},
|
2574 |
+
{
|
2575 |
+
"epoch": 1.4615690959776981,
|
2576 |
+
"grad_norm": 0.44522616267204285,
|
2577 |
+
"learning_rate": 7.496658046731096e-05,
|
2578 |
+
"loss": 0.0281,
|
2579 |
+
"step": 3670
|
2580 |
+
},
|
2581 |
+
{
|
2582 |
+
"epoch": 1.4655515730784547,
|
2583 |
+
"grad_norm": 0.7030194997787476,
|
2584 |
+
"learning_rate": 7.482318577668578e-05,
|
2585 |
+
"loss": 0.0336,
|
2586 |
+
"step": 3680
|
2587 |
+
},
|
2588 |
+
{
|
2589 |
+
"epoch": 1.4695340501792113,
|
2590 |
+
"grad_norm": 0.47834673523902893,
|
2591 |
+
"learning_rate": 7.467951962367796e-05,
|
2592 |
+
"loss": 0.0276,
|
2593 |
+
"step": 3690
|
2594 |
+
},
|
2595 |
+
{
|
2596 |
+
"epoch": 1.4735165272799682,
|
2597 |
+
"grad_norm": 0.4326513409614563,
|
2598 |
+
"learning_rate": 7.453558357939755e-05,
|
2599 |
+
"loss": 0.0268,
|
2600 |
+
"step": 3700
|
2601 |
+
},
|
2602 |
+
{
|
2603 |
+
"epoch": 1.4774990043807248,
|
2604 |
+
"grad_norm": 0.4779656231403351,
|
2605 |
+
"learning_rate": 7.439137921790606e-05,
|
2606 |
+
"loss": 0.0322,
|
2607 |
+
"step": 3710
|
2608 |
+
},
|
2609 |
+
{
|
2610 |
+
"epoch": 1.4814814814814814,
|
2611 |
+
"grad_norm": 0.5998985767364502,
|
2612 |
+
"learning_rate": 7.42469081161993e-05,
|
2613 |
+
"loss": 0.0257,
|
2614 |
+
"step": 3720
|
2615 |
+
},
|
2616 |
+
{
|
2617 |
+
"epoch": 1.4854639585822382,
|
2618 |
+
"grad_norm": 0.44799843430519104,
|
2619 |
+
"learning_rate": 7.410217185419006e-05,
|
2620 |
+
"loss": 0.0235,
|
2621 |
+
"step": 3730
|
2622 |
+
},
|
2623 |
+
{
|
2624 |
+
"epoch": 1.4894464356829948,
|
2625 |
+
"grad_norm": 0.335964560508728,
|
2626 |
+
"learning_rate": 7.395717201469095e-05,
|
2627 |
+
"loss": 0.0286,
|
2628 |
+
"step": 3740
|
2629 |
+
},
|
2630 |
+
{
|
2631 |
+
"epoch": 1.4934289127837514,
|
2632 |
+
"grad_norm": 0.5583806037902832,
|
2633 |
+
"learning_rate": 7.381191018339696e-05,
|
2634 |
+
"loss": 0.0292,
|
2635 |
+
"step": 3750
|
2636 |
+
},
|
2637 |
+
{
|
2638 |
+
"epoch": 1.4974113898845083,
|
2639 |
+
"grad_norm": 0.40853527188301086,
|
2640 |
+
"learning_rate": 7.36663879488682e-05,
|
2641 |
+
"loss": 0.024,
|
2642 |
+
"step": 3760
|
2643 |
+
},
|
2644 |
+
{
|
2645 |
+
"epoch": 1.5013938669852647,
|
2646 |
+
"grad_norm": 0.5366830825805664,
|
2647 |
+
"learning_rate": 7.352060690251254e-05,
|
2648 |
+
"loss": 0.0278,
|
2649 |
+
"step": 3770
|
2650 |
+
},
|
2651 |
+
{
|
2652 |
+
"epoch": 1.5053763440860215,
|
2653 |
+
"grad_norm": 0.5075726509094238,
|
2654 |
+
"learning_rate": 7.337456863856811e-05,
|
2655 |
+
"loss": 0.031,
|
2656 |
+
"step": 3780
|
2657 |
+
},
|
2658 |
+
{
|
2659 |
+
"epoch": 1.5093588211867783,
|
2660 |
+
"grad_norm": 0.4533558487892151,
|
2661 |
+
"learning_rate": 7.3228274754086e-05,
|
2662 |
+
"loss": 0.0232,
|
2663 |
+
"step": 3790
|
2664 |
+
},
|
2665 |
+
{
|
2666 |
+
"epoch": 1.5133412982875347,
|
2667 |
+
"grad_norm": 0.4715867340564728,
|
2668 |
+
"learning_rate": 7.308172684891267e-05,
|
2669 |
+
"loss": 0.0319,
|
2670 |
+
"step": 3800
|
2671 |
+
},
|
2672 |
+
{
|
2673 |
+
"epoch": 1.5173237753882916,
|
2674 |
+
"grad_norm": 0.2563737630844116,
|
2675 |
+
"learning_rate": 7.293492652567255e-05,
|
2676 |
+
"loss": 0.0239,
|
2677 |
+
"step": 3810
|
2678 |
+
},
|
2679 |
+
{
|
2680 |
+
"epoch": 1.5213062524890482,
|
2681 |
+
"grad_norm": 0.3013695478439331,
|
2682 |
+
"learning_rate": 7.278787538975043e-05,
|
2683 |
+
"loss": 0.0302,
|
2684 |
+
"step": 3820
|
2685 |
+
},
|
2686 |
+
{
|
2687 |
+
"epoch": 1.5252887295898048,
|
2688 |
+
"grad_norm": 0.39960938692092896,
|
2689 |
+
"learning_rate": 7.2640575049274e-05,
|
2690 |
+
"loss": 0.0251,
|
2691 |
+
"step": 3830
|
2692 |
+
},
|
2693 |
+
{
|
2694 |
+
"epoch": 1.5292712066905616,
|
2695 |
+
"grad_norm": 0.380015105009079,
|
2696 |
+
"learning_rate": 7.249302711509616e-05,
|
2697 |
+
"loss": 0.0231,
|
2698 |
+
"step": 3840
|
2699 |
+
},
|
2700 |
+
{
|
2701 |
+
"epoch": 1.5332536837913182,
|
2702 |
+
"grad_norm": 0.2648374140262604,
|
2703 |
+
"learning_rate": 7.23452332007775e-05,
|
2704 |
+
"loss": 0.0225,
|
2705 |
+
"step": 3850
|
2706 |
+
},
|
2707 |
+
{
|
2708 |
+
"epoch": 1.5372361608920748,
|
2709 |
+
"grad_norm": 0.32741981744766235,
|
2710 |
+
"learning_rate": 7.219719492256858e-05,
|
2711 |
+
"loss": 0.0272,
|
2712 |
+
"step": 3860
|
2713 |
+
},
|
2714 |
+
{
|
2715 |
+
"epoch": 1.5412186379928317,
|
2716 |
+
"grad_norm": 0.5281572341918945,
|
2717 |
+
"learning_rate": 7.20489138993923e-05,
|
2718 |
+
"loss": 0.025,
|
2719 |
+
"step": 3870
|
2720 |
+
},
|
2721 |
+
{
|
2722 |
+
"epoch": 1.5452011150935883,
|
2723 |
+
"grad_norm": 0.3067561388015747,
|
2724 |
+
"learning_rate": 7.190039175282614e-05,
|
2725 |
+
"loss": 0.0261,
|
2726 |
+
"step": 3880
|
2727 |
+
},
|
2728 |
+
{
|
2729 |
+
"epoch": 1.5491835921943449,
|
2730 |
+
"grad_norm": 0.4421009421348572,
|
2731 |
+
"learning_rate": 7.175163010708455e-05,
|
2732 |
+
"loss": 0.0245,
|
2733 |
+
"step": 3890
|
2734 |
+
},
|
2735 |
+
{
|
2736 |
+
"epoch": 1.5531660692951017,
|
2737 |
+
"grad_norm": 0.3433239758014679,
|
2738 |
+
"learning_rate": 7.1602630589001e-05,
|
2739 |
+
"loss": 0.027,
|
2740 |
+
"step": 3900
|
2741 |
+
},
|
2742 |
+
{
|
2743 |
+
"epoch": 1.557148546395858,
|
2744 |
+
"grad_norm": 0.30050766468048096,
|
2745 |
+
"learning_rate": 7.14533948280104e-05,
|
2746 |
+
"loss": 0.0269,
|
2747 |
+
"step": 3910
|
2748 |
+
},
|
2749 |
+
{
|
2750 |
+
"epoch": 1.561131023496615,
|
2751 |
+
"grad_norm": 0.3128851056098938,
|
2752 |
+
"learning_rate": 7.130392445613109e-05,
|
2753 |
+
"loss": 0.03,
|
2754 |
+
"step": 3920
|
2755 |
+
},
|
2756 |
+
{
|
2757 |
+
"epoch": 1.5651135005973715,
|
2758 |
+
"grad_norm": 0.3643544912338257,
|
2759 |
+
"learning_rate": 7.115422110794711e-05,
|
2760 |
+
"loss": 0.0278,
|
2761 |
+
"step": 3930
|
2762 |
+
},
|
2763 |
+
{
|
2764 |
+
"epoch": 1.5690959776981281,
|
2765 |
+
"grad_norm": 0.4426794648170471,
|
2766 |
+
"learning_rate": 7.100428642059033e-05,
|
2767 |
+
"loss": 0.0303,
|
2768 |
+
"step": 3940
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 1.573078454798885,
|
2772 |
+
"grad_norm": 0.3874496817588806,
|
2773 |
+
"learning_rate": 7.08541220337224e-05,
|
2774 |
+
"loss": 0.0277,
|
2775 |
+
"step": 3950
|
2776 |
+
},
|
2777 |
+
{
|
2778 |
+
"epoch": 1.5770609318996416,
|
2779 |
+
"grad_norm": 0.3397146761417389,
|
2780 |
+
"learning_rate": 7.070372958951706e-05,
|
2781 |
+
"loss": 0.0271,
|
2782 |
+
"step": 3960
|
2783 |
+
},
|
2784 |
+
{
|
2785 |
+
"epoch": 1.5810434090003982,
|
2786 |
+
"grad_norm": 0.6062551736831665,
|
2787 |
+
"learning_rate": 7.055311073264194e-05,
|
2788 |
+
"loss": 0.0334,
|
2789 |
+
"step": 3970
|
2790 |
+
},
|
2791 |
+
{
|
2792 |
+
"epoch": 1.585025886101155,
|
2793 |
+
"grad_norm": 0.2893720269203186,
|
2794 |
+
"learning_rate": 7.040226711024077e-05,
|
2795 |
+
"loss": 0.0276,
|
2796 |
+
"step": 3980
|
2797 |
+
},
|
2798 |
+
{
|
2799 |
+
"epoch": 1.5890083632019116,
|
2800 |
+
"grad_norm": 0.28936243057250977,
|
2801 |
+
"learning_rate": 7.02512003719152e-05,
|
2802 |
+
"loss": 0.0239,
|
2803 |
+
"step": 3990
|
2804 |
+
},
|
2805 |
+
{
|
2806 |
+
"epoch": 1.5929908403026682,
|
2807 |
+
"grad_norm": 0.4626624286174774,
|
2808 |
+
"learning_rate": 7.00999121697069e-05,
|
2809 |
+
"loss": 0.0304,
|
2810 |
+
"step": 4000
|
2811 |
+
},
|
2812 |
+
{
|
2813 |
+
"epoch": 1.596973317403425,
|
2814 |
+
"grad_norm": 0.4734528362751007,
|
2815 |
+
"learning_rate": 6.99484041580794e-05,
|
2816 |
+
"loss": 0.0228,
|
2817 |
+
"step": 4010
|
2818 |
+
},
|
2819 |
+
{
|
2820 |
+
"epoch": 1.6009557945041815,
|
2821 |
+
"grad_norm": 0.6309609413146973,
|
2822 |
+
"learning_rate": 6.979667799390004e-05,
|
2823 |
+
"loss": 0.026,
|
2824 |
+
"step": 4020
|
2825 |
+
},
|
2826 |
+
{
|
2827 |
+
"epoch": 1.6049382716049383,
|
2828 |
+
"grad_norm": 0.4279467463493347,
|
2829 |
+
"learning_rate": 6.964473533642185e-05,
|
2830 |
+
"loss": 0.0298,
|
2831 |
+
"step": 4030
|
2832 |
+
},
|
2833 |
+
{
|
2834 |
+
"epoch": 1.608920748705695,
|
2835 |
+
"grad_norm": 0.29877039790153503,
|
2836 |
+
"learning_rate": 6.949257784726539e-05,
|
2837 |
+
"loss": 0.0328,
|
2838 |
+
"step": 4040
|
2839 |
+
},
|
2840 |
+
{
|
2841 |
+
"epoch": 1.6129032258064515,
|
2842 |
+
"grad_norm": 0.48857632279396057,
|
2843 |
+
"learning_rate": 6.934020719040056e-05,
|
2844 |
+
"loss": 0.0262,
|
2845 |
+
"step": 4050
|
2846 |
+
},
|
2847 |
+
{
|
2848 |
+
"epoch": 1.6168857029072083,
|
2849 |
+
"grad_norm": 0.5152528882026672,
|
2850 |
+
"learning_rate": 6.918762503212848e-05,
|
2851 |
+
"loss": 0.0283,
|
2852 |
+
"step": 4060
|
2853 |
+
},
|
2854 |
+
{
|
2855 |
+
"epoch": 1.620868180007965,
|
2856 |
+
"grad_norm": 0.3721228241920471,
|
2857 |
+
"learning_rate": 6.903483304106319e-05,
|
2858 |
+
"loss": 0.0265,
|
2859 |
+
"step": 4070
|
2860 |
+
},
|
2861 |
+
{
|
2862 |
+
"epoch": 1.6248506571087216,
|
2863 |
+
"grad_norm": 0.3533932864665985,
|
2864 |
+
"learning_rate": 6.888183288811341e-05,
|
2865 |
+
"loss": 0.0258,
|
2866 |
+
"step": 4080
|
2867 |
+
},
|
2868 |
+
{
|
2869 |
+
"epoch": 1.6288331342094784,
|
2870 |
+
"grad_norm": 0.2944384217262268,
|
2871 |
+
"learning_rate": 6.87286262464643e-05,
|
2872 |
+
"loss": 0.0244,
|
2873 |
+
"step": 4090
|
2874 |
+
},
|
2875 |
+
{
|
2876 |
+
"epoch": 1.632815611310235,
|
2877 |
+
"grad_norm": 0.2960841953754425,
|
2878 |
+
"learning_rate": 6.857521479155915e-05,
|
2879 |
+
"loss": 0.0287,
|
2880 |
+
"step": 4100
|
2881 |
+
},
|
2882 |
+
{
|
2883 |
+
"epoch": 1.6367980884109916,
|
2884 |
+
"grad_norm": 0.494831383228302,
|
2885 |
+
"learning_rate": 6.842160020108104e-05,
|
2886 |
+
"loss": 0.026,
|
2887 |
+
"step": 4110
|
2888 |
+
},
|
2889 |
+
{
|
2890 |
+
"epoch": 1.6407805655117484,
|
2891 |
+
"grad_norm": 0.652524471282959,
|
2892 |
+
"learning_rate": 6.826778415493455e-05,
|
2893 |
+
"loss": 0.0254,
|
2894 |
+
"step": 4120
|
2895 |
+
},
|
2896 |
+
{
|
2897 |
+
"epoch": 1.6447630426125048,
|
2898 |
+
"grad_norm": 0.315049409866333,
|
2899 |
+
"learning_rate": 6.811376833522729e-05,
|
2900 |
+
"loss": 0.0251,
|
2901 |
+
"step": 4130
|
2902 |
+
},
|
2903 |
+
{
|
2904 |
+
"epoch": 1.6487455197132617,
|
2905 |
+
"grad_norm": 0.3198871910572052,
|
2906 |
+
"learning_rate": 6.795955442625159e-05,
|
2907 |
+
"loss": 0.0277,
|
2908 |
+
"step": 4140
|
2909 |
+
},
|
2910 |
+
{
|
2911 |
+
"epoch": 1.6527279968140183,
|
2912 |
+
"grad_norm": 0.523373544216156,
|
2913 |
+
"learning_rate": 6.780514411446608e-05,
|
2914 |
+
"loss": 0.0255,
|
2915 |
+
"step": 4150
|
2916 |
+
},
|
2917 |
+
{
|
2918 |
+
"epoch": 1.6567104739147749,
|
2919 |
+
"grad_norm": 0.4847145080566406,
|
2920 |
+
"learning_rate": 6.765053908847716e-05,
|
2921 |
+
"loss": 0.0197,
|
2922 |
+
"step": 4160
|
2923 |
+
},
|
2924 |
+
{
|
2925 |
+
"epoch": 1.6606929510155317,
|
2926 |
+
"grad_norm": 0.4315938353538513,
|
2927 |
+
"learning_rate": 6.749574103902064e-05,
|
2928 |
+
"loss": 0.027,
|
2929 |
+
"step": 4170
|
2930 |
+
},
|
2931 |
+
{
|
2932 |
+
"epoch": 1.6646754281162883,
|
2933 |
+
"grad_norm": 0.3840107023715973,
|
2934 |
+
"learning_rate": 6.734075165894317e-05,
|
2935 |
+
"loss": 0.0286,
|
2936 |
+
"step": 4180
|
2937 |
+
},
|
2938 |
+
{
|
2939 |
+
"epoch": 1.668657905217045,
|
2940 |
+
"grad_norm": 0.42311540246009827,
|
2941 |
+
"learning_rate": 6.71855726431838e-05,
|
2942 |
+
"loss": 0.028,
|
2943 |
+
"step": 4190
|
2944 |
+
},
|
2945 |
+
{
|
2946 |
+
"epoch": 1.6726403823178018,
|
2947 |
+
"grad_norm": 0.38411083817481995,
|
2948 |
+
"learning_rate": 6.703020568875538e-05,
|
2949 |
+
"loss": 0.0263,
|
2950 |
+
"step": 4200
|
2951 |
+
},
|
2952 |
+
{
|
2953 |
+
"epoch": 1.6766228594185584,
|
2954 |
+
"grad_norm": 0.368691623210907,
|
2955 |
+
"learning_rate": 6.687465249472603e-05,
|
2956 |
+
"loss": 0.0266,
|
2957 |
+
"step": 4210
|
2958 |
+
},
|
2959 |
+
{
|
2960 |
+
"epoch": 1.680605336519315,
|
2961 |
+
"grad_norm": 0.5589401125907898,
|
2962 |
+
"learning_rate": 6.671891476220055e-05,
|
2963 |
+
"loss": 0.0255,
|
2964 |
+
"step": 4220
|
2965 |
+
},
|
2966 |
+
{
|
2967 |
+
"epoch": 1.6845878136200718,
|
2968 |
+
"grad_norm": 0.5339823365211487,
|
2969 |
+
"learning_rate": 6.656299419430183e-05,
|
2970 |
+
"loss": 0.0248,
|
2971 |
+
"step": 4230
|
2972 |
+
},
|
2973 |
+
{
|
2974 |
+
"epoch": 1.6885702907208282,
|
2975 |
+
"grad_norm": 0.3141709566116333,
|
2976 |
+
"learning_rate": 6.640689249615223e-05,
|
2977 |
+
"loss": 0.0261,
|
2978 |
+
"step": 4240
|
2979 |
+
},
|
2980 |
+
{
|
2981 |
+
"epoch": 1.692552767821585,
|
2982 |
+
"grad_norm": 0.31322765350341797,
|
2983 |
+
"learning_rate": 6.625061137485491e-05,
|
2984 |
+
"loss": 0.0275,
|
2985 |
+
"step": 4250
|
2986 |
+
},
|
2987 |
+
{
|
2988 |
+
"epoch": 1.6965352449223416,
|
2989 |
+
"grad_norm": 0.35308682918548584,
|
2990 |
+
"learning_rate": 6.609415253947517e-05,
|
2991 |
+
"loss": 0.0288,
|
2992 |
+
"step": 4260
|
2993 |
+
},
|
2994 |
+
{
|
2995 |
+
"epoch": 1.7005177220230983,
|
2996 |
+
"grad_norm": 0.32278379797935486,
|
2997 |
+
"learning_rate": 6.593751770102178e-05,
|
2998 |
+
"loss": 0.0214,
|
2999 |
+
"step": 4270
|
3000 |
+
},
|
3001 |
+
{
|
3002 |
+
"epoch": 1.704500199123855,
|
3003 |
+
"grad_norm": 0.2799319922924042,
|
3004 |
+
"learning_rate": 6.578070857242823e-05,
|
3005 |
+
"loss": 0.0246,
|
3006 |
+
"step": 4280
|
3007 |
+
},
|
3008 |
+
{
|
3009 |
+
"epoch": 1.7084826762246117,
|
3010 |
+
"grad_norm": 0.4078690707683563,
|
3011 |
+
"learning_rate": 6.562372686853402e-05,
|
3012 |
+
"loss": 0.022,
|
3013 |
+
"step": 4290
|
3014 |
+
},
|
3015 |
+
{
|
3016 |
+
"epoch": 1.7124651533253683,
|
3017 |
+
"grad_norm": 0.32824915647506714,
|
3018 |
+
"learning_rate": 6.546657430606593e-05,
|
3019 |
+
"loss": 0.0226,
|
3020 |
+
"step": 4300
|
3021 |
+
},
|
3022 |
+
{
|
3023 |
+
"epoch": 1.7164476304261251,
|
3024 |
+
"grad_norm": 0.4191490411758423,
|
3025 |
+
"learning_rate": 6.530925260361918e-05,
|
3026 |
+
"loss": 0.0237,
|
3027 |
+
"step": 4310
|
3028 |
+
},
|
3029 |
+
{
|
3030 |
+
"epoch": 1.7204301075268817,
|
3031 |
+
"grad_norm": 0.37340426445007324,
|
3032 |
+
"learning_rate": 6.515176348163871e-05,
|
3033 |
+
"loss": 0.026,
|
3034 |
+
"step": 4320
|
3035 |
+
},
|
3036 |
+
{
|
3037 |
+
"epoch": 1.7244125846276384,
|
3038 |
+
"grad_norm": 0.44565045833587646,
|
3039 |
+
"learning_rate": 6.499410866240032e-05,
|
3040 |
+
"loss": 0.0217,
|
3041 |
+
"step": 4330
|
3042 |
+
},
|
3043 |
+
{
|
3044 |
+
"epoch": 1.7283950617283952,
|
3045 |
+
"grad_norm": 0.37896549701690674,
|
3046 |
+
"learning_rate": 6.48362898699919e-05,
|
3047 |
+
"loss": 0.0215,
|
3048 |
+
"step": 4340
|
3049 |
+
},
|
3050 |
+
{
|
3051 |
+
"epoch": 1.7323775388291516,
|
3052 |
+
"grad_norm": 0.42717358469963074,
|
3053 |
+
"learning_rate": 6.467830883029443e-05,
|
3054 |
+
"loss": 0.0241,
|
3055 |
+
"step": 4350
|
3056 |
+
},
|
3057 |
+
{
|
3058 |
+
"epoch": 1.7363600159299084,
|
3059 |
+
"grad_norm": 0.5169128179550171,
|
3060 |
+
"learning_rate": 6.452016727096326e-05,
|
3061 |
+
"loss": 0.0244,
|
3062 |
+
"step": 4360
|
3063 |
+
},
|
3064 |
+
{
|
3065 |
+
"epoch": 1.7403424930306652,
|
3066 |
+
"grad_norm": 0.4041356146335602,
|
3067 |
+
"learning_rate": 6.436186692140916e-05,
|
3068 |
+
"loss": 0.0234,
|
3069 |
+
"step": 4370
|
3070 |
+
},
|
3071 |
+
{
|
3072 |
+
"epoch": 1.7443249701314216,
|
3073 |
+
"grad_norm": 0.41365042328834534,
|
3074 |
+
"learning_rate": 6.420340951277938e-05,
|
3075 |
+
"loss": 0.0214,
|
3076 |
+
"step": 4380
|
3077 |
+
},
|
3078 |
+
{
|
3079 |
+
"epoch": 1.7483074472321785,
|
3080 |
+
"grad_norm": 0.5286877155303955,
|
3081 |
+
"learning_rate": 6.404479677793874e-05,
|
3082 |
+
"loss": 0.0259,
|
3083 |
+
"step": 4390
|
3084 |
+
},
|
3085 |
+
{
|
3086 |
+
"epoch": 1.752289924332935,
|
3087 |
+
"grad_norm": 0.3863738775253296,
|
3088 |
+
"learning_rate": 6.388603045145075e-05,
|
3089 |
+
"loss": 0.0271,
|
3090 |
+
"step": 4400
|
3091 |
+
},
|
3092 |
+
{
|
3093 |
+
"epoch": 1.7562724014336917,
|
3094 |
+
"grad_norm": 0.3407500088214874,
|
3095 |
+
"learning_rate": 6.372711226955843e-05,
|
3096 |
+
"loss": 0.0248,
|
3097 |
+
"step": 4410
|
3098 |
+
},
|
3099 |
+
{
|
3100 |
+
"epoch": 1.7602548785344485,
|
3101 |
+
"grad_norm": 0.4132188558578491,
|
3102 |
+
"learning_rate": 6.356804397016564e-05,
|
3103 |
+
"loss": 0.0232,
|
3104 |
+
"step": 4420
|
3105 |
+
},
|
3106 |
+
{
|
3107 |
+
"epoch": 1.7642373556352051,
|
3108 |
+
"grad_norm": 0.5538100004196167,
|
3109 |
+
"learning_rate": 6.340882729281779e-05,
|
3110 |
+
"loss": 0.0257,
|
3111 |
+
"step": 4430
|
3112 |
+
},
|
3113 |
+
{
|
3114 |
+
"epoch": 1.7682198327359617,
|
3115 |
+
"grad_norm": 0.5813969969749451,
|
3116 |
+
"learning_rate": 6.324946397868294e-05,
|
3117 |
+
"loss": 0.0289,
|
3118 |
+
"step": 4440
|
3119 |
+
},
|
3120 |
+
{
|
3121 |
+
"epoch": 1.7722023098367186,
|
3122 |
+
"grad_norm": 0.381994366645813,
|
3123 |
+
"learning_rate": 6.308995577053276e-05,
|
3124 |
+
"loss": 0.0241,
|
3125 |
+
"step": 4450
|
3126 |
+
},
|
3127 |
+
{
|
3128 |
+
"epoch": 1.776184786937475,
|
3129 |
+
"grad_norm": 0.49612873792648315,
|
3130 |
+
"learning_rate": 6.293030441272347e-05,
|
3131 |
+
"loss": 0.0267,
|
3132 |
+
"step": 4460
|
3133 |
+
},
|
3134 |
+
{
|
3135 |
+
"epoch": 1.7801672640382318,
|
3136 |
+
"grad_norm": 0.5249873995780945,
|
3137 |
+
"learning_rate": 6.277051165117677e-05,
|
3138 |
+
"loss": 0.0246,
|
3139 |
+
"step": 4470
|
3140 |
+
},
|
3141 |
+
{
|
3142 |
+
"epoch": 1.7841497411389886,
|
3143 |
+
"grad_norm": 0.3832807242870331,
|
3144 |
+
"learning_rate": 6.261057923336064e-05,
|
3145 |
+
"loss": 0.0267,
|
3146 |
+
"step": 4480
|
3147 |
+
},
|
3148 |
+
{
|
3149 |
+
"epoch": 1.788132218239745,
|
3150 |
+
"grad_norm": 0.31773999333381653,
|
3151 |
+
"learning_rate": 6.245050890827042e-05,
|
3152 |
+
"loss": 0.0276,
|
3153 |
+
"step": 4490
|
3154 |
+
},
|
3155 |
+
{
|
3156 |
+
"epoch": 1.7921146953405018,
|
3157 |
+
"grad_norm": 0.275312215089798,
|
3158 |
+
"learning_rate": 6.229030242640952e-05,
|
3159 |
+
"loss": 0.0238,
|
3160 |
+
"step": 4500
|
3161 |
+
},
|
3162 |
+
{
|
3163 |
+
"epoch": 1.7960971724412584,
|
3164 |
+
"grad_norm": 0.5737529397010803,
|
3165 |
+
"learning_rate": 6.212996153977037e-05,
|
3166 |
+
"loss": 0.0308,
|
3167 |
+
"step": 4510
|
3168 |
+
},
|
3169 |
+
{
|
3170 |
+
"epoch": 1.800079649542015,
|
3171 |
+
"grad_norm": 0.33575618267059326,
|
3172 |
+
"learning_rate": 6.196948800181523e-05,
|
3173 |
+
"loss": 0.0258,
|
3174 |
+
"step": 4520
|
3175 |
+
},
|
3176 |
+
{
|
3177 |
+
"epoch": 1.8040621266427719,
|
3178 |
+
"grad_norm": 0.6271135807037354,
|
3179 |
+
"learning_rate": 6.180888356745695e-05,
|
3180 |
+
"loss": 0.0267,
|
3181 |
+
"step": 4530
|
3182 |
+
},
|
3183 |
+
{
|
3184 |
+
"epoch": 1.8080446037435285,
|
3185 |
+
"grad_norm": 0.5151987075805664,
|
3186 |
+
"learning_rate": 6.164814999303995e-05,
|
3187 |
+
"loss": 0.0239,
|
3188 |
+
"step": 4540
|
3189 |
+
},
|
3190 |
+
{
|
3191 |
+
"epoch": 1.812027080844285,
|
3192 |
+
"grad_norm": 0.26632851362228394,
|
3193 |
+
"learning_rate": 6.148728903632081e-05,
|
3194 |
+
"loss": 0.0222,
|
3195 |
+
"step": 4550
|
3196 |
+
},
|
3197 |
+
{
|
3198 |
+
"epoch": 1.816009557945042,
|
3199 |
+
"grad_norm": 0.4331364929676056,
|
3200 |
+
"learning_rate": 6.132630245644921e-05,
|
3201 |
+
"loss": 0.0226,
|
3202 |
+
"step": 4560
|
3203 |
+
},
|
3204 |
+
{
|
3205 |
+
"epoch": 1.8199920350457985,
|
3206 |
+
"grad_norm": 0.26644977927207947,
|
3207 |
+
"learning_rate": 6.116519201394857e-05,
|
3208 |
+
"loss": 0.0242,
|
3209 |
+
"step": 4570
|
3210 |
+
},
|
3211 |
+
{
|
3212 |
+
"epoch": 1.8239745121465551,
|
3213 |
+
"grad_norm": 0.45340025424957275,
|
3214 |
+
"learning_rate": 6.10039594706969e-05,
|
3215 |
+
"loss": 0.0233,
|
3216 |
+
"step": 4580
|
3217 |
+
},
|
3218 |
+
{
|
3219 |
+
"epoch": 1.827956989247312,
|
3220 |
+
"grad_norm": 0.3398999869823456,
|
3221 |
+
"learning_rate": 6.084260658990744e-05,
|
3222 |
+
"loss": 0.0226,
|
3223 |
+
"step": 4590
|
3224 |
+
},
|
3225 |
+
{
|
3226 |
+
"epoch": 1.8319394663480684,
|
3227 |
+
"grad_norm": 0.6932306885719299,
|
3228 |
+
"learning_rate": 6.068113513610943e-05,
|
3229 |
+
"loss": 0.0239,
|
3230 |
+
"step": 4600
|
3231 |
+
},
|
3232 |
+
{
|
3233 |
+
"epoch": 1.8359219434488252,
|
3234 |
+
"grad_norm": 0.23555903136730194,
|
3235 |
+
"learning_rate": 6.0519546875128876e-05,
|
3236 |
+
"loss": 0.0249,
|
3237 |
+
"step": 4610
|
3238 |
+
},
|
3239 |
+
{
|
3240 |
+
"epoch": 1.8399044205495818,
|
3241 |
+
"grad_norm": 0.49692243337631226,
|
3242 |
+
"learning_rate": 6.035784357406906e-05,
|
3243 |
+
"loss": 0.0241,
|
3244 |
+
"step": 4620
|
3245 |
+
},
|
3246 |
+
{
|
3247 |
+
"epoch": 1.8438868976503384,
|
3248 |
+
"grad_norm": 0.32976606488227844,
|
3249 |
+
"learning_rate": 6.01960270012914e-05,
|
3250 |
+
"loss": 0.0237,
|
3251 |
+
"step": 4630
|
3252 |
+
},
|
3253 |
+
{
|
3254 |
+
"epoch": 1.8478693747510953,
|
3255 |
+
"grad_norm": 0.4834267199039459,
|
3256 |
+
"learning_rate": 6.003409892639599e-05,
|
3257 |
+
"loss": 0.027,
|
3258 |
+
"step": 4640
|
3259 |
+
},
|
3260 |
+
{
|
3261 |
+
"epoch": 1.8518518518518519,
|
3262 |
+
"grad_norm": 0.4596833884716034,
|
3263 |
+
"learning_rate": 5.9872061120202336e-05,
|
3264 |
+
"loss": 0.0246,
|
3265 |
+
"step": 4650
|
3266 |
+
},
|
3267 |
+
{
|
3268 |
+
"epoch": 1.8558343289526085,
|
3269 |
+
"grad_norm": 0.427120178937912,
|
3270 |
+
"learning_rate": 5.9709915354729914e-05,
|
3271 |
+
"loss": 0.0269,
|
3272 |
+
"step": 4660
|
3273 |
+
},
|
3274 |
+
{
|
3275 |
+
"epoch": 1.8598168060533653,
|
3276 |
+
"grad_norm": 0.2686680257320404,
|
3277 |
+
"learning_rate": 5.9547663403178824e-05,
|
3278 |
+
"loss": 0.0239,
|
3279 |
+
"step": 4670
|
3280 |
+
},
|
3281 |
+
{
|
3282 |
+
"epoch": 1.863799283154122,
|
3283 |
+
"grad_norm": 0.3082379698753357,
|
3284 |
+
"learning_rate": 5.9385307039910445e-05,
|
3285 |
+
"loss": 0.0204,
|
3286 |
+
"step": 4680
|
3287 |
+
},
|
3288 |
+
{
|
3289 |
+
"epoch": 1.8677817602548785,
|
3290 |
+
"grad_norm": 0.34263017773628235,
|
3291 |
+
"learning_rate": 5.922284804042792e-05,
|
3292 |
+
"loss": 0.0249,
|
3293 |
+
"step": 4690
|
3294 |
+
},
|
3295 |
+
{
|
3296 |
+
"epoch": 1.8717642373556354,
|
3297 |
+
"grad_norm": 0.23308919370174408,
|
3298 |
+
"learning_rate": 5.906028818135687e-05,
|
3299 |
+
"loss": 0.0248,
|
3300 |
+
"step": 4700
|
3301 |
+
},
|
3302 |
+
{
|
3303 |
+
"epoch": 1.8757467144563917,
|
3304 |
+
"grad_norm": 0.29352062940597534,
|
3305 |
+
"learning_rate": 5.889762924042585e-05,
|
3306 |
+
"loss": 0.0231,
|
3307 |
+
"step": 4710
|
3308 |
+
},
|
3309 |
+
{
|
3310 |
+
"epoch": 1.8797291915571486,
|
3311 |
+
"grad_norm": 0.45019692182540894,
|
3312 |
+
"learning_rate": 5.873487299644699e-05,
|
3313 |
+
"loss": 0.0265,
|
3314 |
+
"step": 4720
|
3315 |
+
},
|
3316 |
+
{
|
3317 |
+
"epoch": 1.8837116686579052,
|
3318 |
+
"grad_norm": 0.4193218946456909,
|
3319 |
+
"learning_rate": 5.857202122929649e-05,
|
3320 |
+
"loss": 0.0228,
|
3321 |
+
"step": 4730
|
3322 |
+
},
|
3323 |
+
{
|
3324 |
+
"epoch": 1.8876941457586618,
|
3325 |
+
"grad_norm": 0.5292001366615295,
|
3326 |
+
"learning_rate": 5.840907571989518e-05,
|
3327 |
+
"loss": 0.0218,
|
3328 |
+
"step": 4740
|
3329 |
+
},
|
3330 |
+
{
|
3331 |
+
"epoch": 1.8916766228594186,
|
3332 |
+
"grad_norm": 0.36202308535575867,
|
3333 |
+
"learning_rate": 5.824603825018904e-05,
|
3334 |
+
"loss": 0.0229,
|
3335 |
+
"step": 4750
|
3336 |
+
},
|
3337 |
+
{
|
3338 |
+
"epoch": 1.8956590999601752,
|
3339 |
+
"grad_norm": 0.2474525272846222,
|
3340 |
+
"learning_rate": 5.808291060312975e-05,
|
3341 |
+
"loss": 0.0259,
|
3342 |
+
"step": 4760
|
3343 |
+
},
|
3344 |
+
{
|
3345 |
+
"epoch": 1.8996415770609318,
|
3346 |
+
"grad_norm": 0.23628737032413483,
|
3347 |
+
"learning_rate": 5.7919694562655083e-05,
|
3348 |
+
"loss": 0.0218,
|
3349 |
+
"step": 4770
|
3350 |
+
},
|
3351 |
+
{
|
3352 |
+
"epoch": 1.9036240541616887,
|
3353 |
+
"grad_norm": 0.38689592480659485,
|
3354 |
+
"learning_rate": 5.775639191366954e-05,
|
3355 |
+
"loss": 0.0246,
|
3356 |
+
"step": 4780
|
3357 |
+
},
|
3358 |
+
{
|
3359 |
+
"epoch": 1.9076065312624453,
|
3360 |
+
"grad_norm": 0.3524068593978882,
|
3361 |
+
"learning_rate": 5.75930044420247e-05,
|
3362 |
+
"loss": 0.0209,
|
3363 |
+
"step": 4790
|
3364 |
+
},
|
3365 |
+
{
|
3366 |
+
"epoch": 1.911589008363202,
|
3367 |
+
"grad_norm": 0.3510373830795288,
|
3368 |
+
"learning_rate": 5.74295339344998e-05,
|
3369 |
+
"loss": 0.026,
|
3370 |
+
"step": 4800
|
3371 |
+
},
|
3372 |
+
{
|
3373 |
+
"epoch": 1.9155714854639587,
|
3374 |
+
"grad_norm": 0.5862729549407959,
|
3375 |
+
"learning_rate": 5.726598217878211e-05,
|
3376 |
+
"loss": 0.0229,
|
3377 |
+
"step": 4810
|
3378 |
+
},
|
3379 |
+
{
|
3380 |
+
"epoch": 1.919553962564715,
|
3381 |
+
"grad_norm": 0.47685012221336365,
|
3382 |
+
"learning_rate": 5.71023509634474e-05,
|
3383 |
+
"loss": 0.0229,
|
3384 |
+
"step": 4820
|
3385 |
+
},
|
3386 |
+
{
|
3387 |
+
"epoch": 1.923536439665472,
|
3388 |
+
"grad_norm": 0.5108020901679993,
|
3389 |
+
"learning_rate": 5.693864207794049e-05,
|
3390 |
+
"loss": 0.0281,
|
3391 |
+
"step": 4830
|
3392 |
+
},
|
3393 |
+
{
|
3394 |
+
"epoch": 1.9275189167662286,
|
3395 |
+
"grad_norm": 0.45045313239097595,
|
3396 |
+
"learning_rate": 5.677485731255545e-05,
|
3397 |
+
"loss": 0.0287,
|
3398 |
+
"step": 4840
|
3399 |
+
},
|
3400 |
+
{
|
3401 |
+
"epoch": 1.9315013938669852,
|
3402 |
+
"grad_norm": 0.3624630868434906,
|
3403 |
+
"learning_rate": 5.6610998458416296e-05,
|
3404 |
+
"loss": 0.027,
|
3405 |
+
"step": 4850
|
3406 |
+
},
|
3407 |
+
{
|
3408 |
+
"epoch": 1.935483870967742,
|
3409 |
+
"grad_norm": 0.3359379768371582,
|
3410 |
+
"learning_rate": 5.644706730745716e-05,
|
3411 |
+
"loss": 0.0205,
|
3412 |
+
"step": 4860
|
3413 |
+
},
|
3414 |
+
{
|
3415 |
+
"epoch": 1.9394663480684986,
|
3416 |
+
"grad_norm": 0.2658320963382721,
|
3417 |
+
"learning_rate": 5.628306565240287e-05,
|
3418 |
+
"loss": 0.0222,
|
3419 |
+
"step": 4870
|
3420 |
+
},
|
3421 |
+
{
|
3422 |
+
"epoch": 1.9434488251692552,
|
3423 |
+
"grad_norm": 0.16451801359653473,
|
3424 |
+
"learning_rate": 5.611899528674923e-05,
|
3425 |
+
"loss": 0.0249,
|
3426 |
+
"step": 4880
|
3427 |
+
},
|
3428 |
+
{
|
3429 |
+
"epoch": 1.947431302270012,
|
3430 |
+
"grad_norm": 0.24440331757068634,
|
3431 |
+
"learning_rate": 5.595485800474349e-05,
|
3432 |
+
"loss": 0.0217,
|
3433 |
+
"step": 4890
|
3434 |
+
},
|
3435 |
+
{
|
3436 |
+
"epoch": 1.9514137793707687,
|
3437 |
+
"grad_norm": 0.34016168117523193,
|
3438 |
+
"learning_rate": 5.579065560136467e-05,
|
3439 |
+
"loss": 0.0253,
|
3440 |
+
"step": 4900
|
3441 |
+
},
|
3442 |
+
{
|
3443 |
+
"epoch": 1.9553962564715253,
|
3444 |
+
"grad_norm": 0.47430235147476196,
|
3445 |
+
"learning_rate": 5.562638987230392e-05,
|
3446 |
+
"loss": 0.0239,
|
3447 |
+
"step": 4910
|
3448 |
+
},
|
3449 |
+
{
|
3450 |
+
"epoch": 1.959378733572282,
|
3451 |
+
"grad_norm": 0.40641021728515625,
|
3452 |
+
"learning_rate": 5.546206261394498e-05,
|
3453 |
+
"loss": 0.0216,
|
3454 |
+
"step": 4920
|
3455 |
+
},
|
3456 |
+
{
|
3457 |
+
"epoch": 1.9633612106730385,
|
3458 |
+
"grad_norm": 0.39244401454925537,
|
3459 |
+
"learning_rate": 5.529767562334437e-05,
|
3460 |
+
"loss": 0.0236,
|
3461 |
+
"step": 4930
|
3462 |
+
},
|
3463 |
+
{
|
3464 |
+
"epoch": 1.9673436877737953,
|
3465 |
+
"grad_norm": 0.3444770276546478,
|
3466 |
+
"learning_rate": 5.5133230698211926e-05,
|
3467 |
+
"loss": 0.0229,
|
3468 |
+
"step": 4940
|
3469 |
+
},
|
3470 |
+
{
|
3471 |
+
"epoch": 1.971326164874552,
|
3472 |
+
"grad_norm": 0.40012794733047485,
|
3473 |
+
"learning_rate": 5.496872963689096e-05,
|
3474 |
+
"loss": 0.0233,
|
3475 |
+
"step": 4950
|
3476 |
+
},
|
3477 |
+
{
|
3478 |
+
"epoch": 1.9753086419753085,
|
3479 |
+
"grad_norm": 0.39745375514030457,
|
3480 |
+
"learning_rate": 5.4804174238338756e-05,
|
3481 |
+
"loss": 0.0205,
|
3482 |
+
"step": 4960
|
3483 |
+
},
|
3484 |
+
{
|
3485 |
+
"epoch": 1.9792911190760654,
|
3486 |
+
"grad_norm": 0.36429905891418457,
|
3487 |
+
"learning_rate": 5.463956630210678e-05,
|
3488 |
+
"loss": 0.0272,
|
3489 |
+
"step": 4970
|
3490 |
+
},
|
3491 |
+
{
|
3492 |
+
"epoch": 1.983273596176822,
|
3493 |
+
"grad_norm": 0.3775866627693176,
|
3494 |
+
"learning_rate": 5.4474907628321046e-05,
|
3495 |
+
"loss": 0.0254,
|
3496 |
+
"step": 4980
|
3497 |
+
},
|
3498 |
+
{
|
3499 |
+
"epoch": 1.9872560732775786,
|
3500 |
+
"grad_norm": 0.2797946333885193,
|
3501 |
+
"learning_rate": 5.431020001766244e-05,
|
3502 |
+
"loss": 0.0232,
|
3503 |
+
"step": 4990
|
3504 |
+
},
|
3505 |
+
{
|
3506 |
+
"epoch": 1.9912385503783354,
|
3507 |
+
"grad_norm": 0.31640321016311646,
|
3508 |
+
"learning_rate": 5.4145445271346986e-05,
|
3509 |
+
"loss": 0.0236,
|
3510 |
+
"step": 5000
|
3511 |
+
}
|
3512 |
+
],
|
3513 |
+
"logging_steps": 10,
|
3514 |
+
"max_steps": 10000,
|
3515 |
+
"num_input_tokens_seen": 0,
|
3516 |
+
"num_train_epochs": 4,
|
3517 |
+
"save_steps": 1000,
|
3518 |
+
"stateful_callbacks": {
|
3519 |
+
"TrainerControl": {
|
3520 |
+
"args": {
|
3521 |
+
"should_epoch_stop": false,
|
3522 |
+
"should_evaluate": false,
|
3523 |
+
"should_log": false,
|
3524 |
+
"should_save": true,
|
3525 |
+
"should_training_stop": false
|
3526 |
+
},
|
3527 |
+
"attributes": {}
|
3528 |
+
}
|
3529 |
+
},
|
3530 |
+
"total_flos": 0.0,
|
3531 |
+
"train_batch_size": 32,
|
3532 |
+
"trial_name": null,
|
3533 |
+
"trial_params": null
|
3534 |
+
}
|
checkpoint-6000/config.json
ADDED
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"action_dim": 32,
|
3 |
+
"action_head_cfg": {
|
4 |
+
"action_dim": 32,
|
5 |
+
"action_horizon": 16,
|
6 |
+
"add_pos_embed": true,
|
7 |
+
"backbone_embedding_dim": 2048,
|
8 |
+
"diffusion_model_cfg": {
|
9 |
+
"attention_head_dim": 48,
|
10 |
+
"cross_attention_dim": 2048,
|
11 |
+
"dropout": 0.2,
|
12 |
+
"final_dropout": true,
|
13 |
+
"interleave_self_attention": true,
|
14 |
+
"norm_type": "ada_norm",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_layers": 16,
|
17 |
+
"output_dim": 1024,
|
18 |
+
"positional_embeddings": null
|
19 |
+
},
|
20 |
+
"hidden_size": 1024,
|
21 |
+
"input_embedding_dim": 1536,
|
22 |
+
"max_action_dim": 32,
|
23 |
+
"max_state_dim": 64,
|
24 |
+
"model_dtype": "float32",
|
25 |
+
"noise_beta_alpha": 1.5,
|
26 |
+
"noise_beta_beta": 1.0,
|
27 |
+
"noise_s": 0.999,
|
28 |
+
"num_inference_timesteps": 4,
|
29 |
+
"num_target_vision_tokens": 32,
|
30 |
+
"num_timestep_buckets": 1000,
|
31 |
+
"tune_diffusion_model": true,
|
32 |
+
"tune_projector": true,
|
33 |
+
"use_vlln": true,
|
34 |
+
"vl_self_attention_cfg": {
|
35 |
+
"attention_head_dim": 64,
|
36 |
+
"dropout": 0.2,
|
37 |
+
"final_dropout": true,
|
38 |
+
"num_attention_heads": 32,
|
39 |
+
"num_layers": 4,
|
40 |
+
"positional_embeddings": null
|
41 |
+
}
|
42 |
+
},
|
43 |
+
"action_horizon": 16,
|
44 |
+
"architectures": [
|
45 |
+
"GR00T_N1_5"
|
46 |
+
],
|
47 |
+
"attn_implementation": null,
|
48 |
+
"backbone_cfg": {
|
49 |
+
"eagle_path": "NVEagle/eagle_er-qwen3_1_7B-Siglip2_400M_stage1_5_128gpu_er_v7_1mlp_nops",
|
50 |
+
"load_bf16": false,
|
51 |
+
"project_to_dim": null,
|
52 |
+
"reproject_vision": false,
|
53 |
+
"select_layer": 12,
|
54 |
+
"tune_llm": false,
|
55 |
+
"tune_visual": true,
|
56 |
+
"use_flash_attention": true
|
57 |
+
},
|
58 |
+
"compute_dtype": "bfloat16",
|
59 |
+
"hidden_size": 2048,
|
60 |
+
"model_dtype": "float32",
|
61 |
+
"model_type": "gr00t_n1_5",
|
62 |
+
"torch_dtype": "bfloat16",
|
63 |
+
"transformers_version": "4.51.3"
|
64 |
+
}
|
checkpoint-6000/experiment_cfg/metadata.json
ADDED
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"new_embodiment": {
|
3 |
+
"statistics": {
|
4 |
+
"state": {
|
5 |
+
"single_arm": {
|
6 |
+
"max": [
|
7 |
+
33.22265625,
|
8 |
+
86.1328125,
|
9 |
+
84.7265625,
|
10 |
+
101.337890625,
|
11 |
+
32.783203125
|
12 |
+
],
|
13 |
+
"min": [
|
14 |
+
-87.275390625,
|
15 |
+
-103.974609375,
|
16 |
+
-106.435546875,
|
17 |
+
-16.34765625,
|
18 |
+
-170.068359375
|
19 |
+
],
|
20 |
+
"mean": [
|
21 |
+
-26.84341812133789,
|
22 |
+
6.497307777404785,
|
23 |
+
-22.14896583557129,
|
24 |
+
74.85757446289062,
|
25 |
+
-111.02351379394531
|
26 |
+
],
|
27 |
+
"std": [
|
28 |
+
27.50257110595703,
|
29 |
+
41.151065826416016,
|
30 |
+
48.41417694091797,
|
31 |
+
20.208982467651367,
|
32 |
+
46.13625717163086
|
33 |
+
],
|
34 |
+
"q01": [
|
35 |
+
-79.013671875,
|
36 |
+
-103.271484375,
|
37 |
+
-104.0625,
|
38 |
+
19.187402343750005,
|
39 |
+
-169.892578125
|
40 |
+
],
|
41 |
+
"q99": [
|
42 |
+
24.169921875,
|
43 |
+
73.30078125,
|
44 |
+
84.375,
|
45 |
+
101.07421875,
|
46 |
+
11.162109375
|
47 |
+
]
|
48 |
+
},
|
49 |
+
"gripper": {
|
50 |
+
"max": [
|
51 |
+
92.373046875
|
52 |
+
],
|
53 |
+
"min": [
|
54 |
+
-0.615234375
|
55 |
+
],
|
56 |
+
"mean": [
|
57 |
+
14.521344184875488
|
58 |
+
],
|
59 |
+
"std": [
|
60 |
+
13.066176414489746
|
61 |
+
],
|
62 |
+
"q01": [
|
63 |
+
0.0
|
64 |
+
],
|
65 |
+
"q99": [
|
66 |
+
52.470703125
|
67 |
+
]
|
68 |
+
}
|
69 |
+
},
|
70 |
+
"action": {
|
71 |
+
"single_arm": {
|
72 |
+
"max": [
|
73 |
+
33.662109375,
|
74 |
+
86.484375,
|
75 |
+
85.078125,
|
76 |
+
102.65625,
|
77 |
+
33.3984375
|
78 |
+
],
|
79 |
+
"min": [
|
80 |
+
-87.890625,
|
81 |
+
-104.4140625,
|
82 |
+
-110.7421875,
|
83 |
+
-19.599609375,
|
84 |
+
-173.3203125
|
85 |
+
],
|
86 |
+
"mean": [
|
87 |
+
-26.84657096862793,
|
88 |
+
4.594353199005127,
|
89 |
+
-23.747364044189453,
|
90 |
+
74.75859832763672,
|
91 |
+
-111.30194854736328
|
92 |
+
],
|
93 |
+
"std": [
|
94 |
+
27.627857208251953,
|
95 |
+
40.672019958496094,
|
96 |
+
48.966896057128906,
|
97 |
+
20.728727340698242,
|
98 |
+
46.57689666748047
|
99 |
+
],
|
100 |
+
"q01": [
|
101 |
+
-79.453125,
|
102 |
+
-102.744140625,
|
103 |
+
-109.6875,
|
104 |
+
17.9296875,
|
105 |
+
-172.177734375
|
106 |
+
],
|
107 |
+
"q99": [
|
108 |
+
24.08203125,
|
109 |
+
72.685546875,
|
110 |
+
83.84765625,
|
111 |
+
101.77734375,
|
112 |
+
10.72265625
|
113 |
+
]
|
114 |
+
},
|
115 |
+
"gripper": {
|
116 |
+
"max": [
|
117 |
+
92.63671875
|
118 |
+
],
|
119 |
+
"min": [
|
120 |
+
-3.076171875
|
121 |
+
],
|
122 |
+
"mean": [
|
123 |
+
12.46182632446289
|
124 |
+
],
|
125 |
+
"std": [
|
126 |
+
14.029601097106934
|
127 |
+
],
|
128 |
+
"q01": [
|
129 |
+
-0.52734375
|
130 |
+
],
|
131 |
+
"q99": [
|
132 |
+
52.91015625
|
133 |
+
]
|
134 |
+
}
|
135 |
+
}
|
136 |
+
},
|
137 |
+
"modalities": {
|
138 |
+
"video": {
|
139 |
+
"front": {
|
140 |
+
"resolution": [
|
141 |
+
640,
|
142 |
+
480
|
143 |
+
],
|
144 |
+
"channels": 3,
|
145 |
+
"fps": 30.0
|
146 |
+
},
|
147 |
+
"laptop": {
|
148 |
+
"resolution": [
|
149 |
+
640,
|
150 |
+
480
|
151 |
+
],
|
152 |
+
"channels": 3,
|
153 |
+
"fps": 30.0
|
154 |
+
}
|
155 |
+
},
|
156 |
+
"state": {
|
157 |
+
"single_arm": {
|
158 |
+
"absolute": true,
|
159 |
+
"rotation_type": null,
|
160 |
+
"shape": [
|
161 |
+
5
|
162 |
+
],
|
163 |
+
"continuous": true
|
164 |
+
},
|
165 |
+
"gripper": {
|
166 |
+
"absolute": true,
|
167 |
+
"rotation_type": null,
|
168 |
+
"shape": [
|
169 |
+
1
|
170 |
+
],
|
171 |
+
"continuous": true
|
172 |
+
}
|
173 |
+
},
|
174 |
+
"action": {
|
175 |
+
"single_arm": {
|
176 |
+
"absolute": true,
|
177 |
+
"rotation_type": null,
|
178 |
+
"shape": [
|
179 |
+
5
|
180 |
+
],
|
181 |
+
"continuous": true
|
182 |
+
},
|
183 |
+
"gripper": {
|
184 |
+
"absolute": true,
|
185 |
+
"rotation_type": null,
|
186 |
+
"shape": [
|
187 |
+
1
|
188 |
+
],
|
189 |
+
"continuous": true
|
190 |
+
}
|
191 |
+
}
|
192 |
+
},
|
193 |
+
"embodiment_tag": "new_embodiment"
|
194 |
+
}
|
195 |
+
}
|
checkpoint-6000/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0e65895a7b6c052e58b679bdd68bff54a68694a81f38e23d3e03a92059b3600b
|
3 |
+
size 4999367032
|
checkpoint-6000/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:185c359b4bba0fb8e8f070cc9219b2dc7ef2b9222aa348ef4d29659957794091
|
3 |
+
size 2586705312
|
checkpoint-6000/model.safetensors.index.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-6000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:145c4fbd2b48ae7a568038fa1ecc19b796c1fce35b0883b3c0ce72c3a956a2a6
|
3 |
+
size 4147424698
|
checkpoint-6000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:13bd3aee67d899586785f110c683415e1f00044b0294c797f6849a5b51cc801a
|
3 |
+
size 14244
|
checkpoint-6000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8d6c0bf646ac78d188a2258804081d2e369772e8091e5395d9073771ec310aca
|
3 |
+
size 1064
|
checkpoint-6000/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-7000/config.json
ADDED
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"action_dim": 32,
|
3 |
+
"action_head_cfg": {
|
4 |
+
"action_dim": 32,
|
5 |
+
"action_horizon": 16,
|
6 |
+
"add_pos_embed": true,
|
7 |
+
"backbone_embedding_dim": 2048,
|
8 |
+
"diffusion_model_cfg": {
|
9 |
+
"attention_head_dim": 48,
|
10 |
+
"cross_attention_dim": 2048,
|
11 |
+
"dropout": 0.2,
|
12 |
+
"final_dropout": true,
|
13 |
+
"interleave_self_attention": true,
|
14 |
+
"norm_type": "ada_norm",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_layers": 16,
|
17 |
+
"output_dim": 1024,
|
18 |
+
"positional_embeddings": null
|
19 |
+
},
|
20 |
+
"hidden_size": 1024,
|
21 |
+
"input_embedding_dim": 1536,
|
22 |
+
"max_action_dim": 32,
|
23 |
+
"max_state_dim": 64,
|
24 |
+
"model_dtype": "float32",
|
25 |
+
"noise_beta_alpha": 1.5,
|
26 |
+
"noise_beta_beta": 1.0,
|
27 |
+
"noise_s": 0.999,
|
28 |
+
"num_inference_timesteps": 4,
|
29 |
+
"num_target_vision_tokens": 32,
|
30 |
+
"num_timestep_buckets": 1000,
|
31 |
+
"tune_diffusion_model": true,
|
32 |
+
"tune_projector": true,
|
33 |
+
"use_vlln": true,
|
34 |
+
"vl_self_attention_cfg": {
|
35 |
+
"attention_head_dim": 64,
|
36 |
+
"dropout": 0.2,
|
37 |
+
"final_dropout": true,
|
38 |
+
"num_attention_heads": 32,
|
39 |
+
"num_layers": 4,
|
40 |
+
"positional_embeddings": null
|
41 |
+
}
|
42 |
+
},
|
43 |
+
"action_horizon": 16,
|
44 |
+
"architectures": [
|
45 |
+
"GR00T_N1_5"
|
46 |
+
],
|
47 |
+
"attn_implementation": null,
|
48 |
+
"backbone_cfg": {
|
49 |
+
"eagle_path": "NVEagle/eagle_er-qwen3_1_7B-Siglip2_400M_stage1_5_128gpu_er_v7_1mlp_nops",
|
50 |
+
"load_bf16": false,
|
51 |
+
"project_to_dim": null,
|
52 |
+
"reproject_vision": false,
|
53 |
+
"select_layer": 12,
|
54 |
+
"tune_llm": false,
|
55 |
+
"tune_visual": true,
|
56 |
+
"use_flash_attention": true
|
57 |
+
},
|
58 |
+
"compute_dtype": "bfloat16",
|
59 |
+
"hidden_size": 2048,
|
60 |
+
"model_dtype": "float32",
|
61 |
+
"model_type": "gr00t_n1_5",
|
62 |
+
"torch_dtype": "bfloat16",
|
63 |
+
"transformers_version": "4.51.3"
|
64 |
+
}
|
checkpoint-7000/experiment_cfg/metadata.json
ADDED
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"new_embodiment": {
|
3 |
+
"statistics": {
|
4 |
+
"state": {
|
5 |
+
"single_arm": {
|
6 |
+
"max": [
|
7 |
+
33.22265625,
|
8 |
+
86.1328125,
|
9 |
+
84.7265625,
|
10 |
+
101.337890625,
|
11 |
+
32.783203125
|
12 |
+
],
|
13 |
+
"min": [
|
14 |
+
-87.275390625,
|
15 |
+
-103.974609375,
|
16 |
+
-106.435546875,
|
17 |
+
-16.34765625,
|
18 |
+
-170.068359375
|
19 |
+
],
|
20 |
+
"mean": [
|
21 |
+
-26.84341812133789,
|
22 |
+
6.497307777404785,
|
23 |
+
-22.14896583557129,
|
24 |
+
74.85757446289062,
|
25 |
+
-111.02351379394531
|
26 |
+
],
|
27 |
+
"std": [
|
28 |
+
27.50257110595703,
|
29 |
+
41.151065826416016,
|
30 |
+
48.41417694091797,
|
31 |
+
20.208982467651367,
|
32 |
+
46.13625717163086
|
33 |
+
],
|
34 |
+
"q01": [
|
35 |
+
-79.013671875,
|
36 |
+
-103.271484375,
|
37 |
+
-104.0625,
|
38 |
+
19.187402343750005,
|
39 |
+
-169.892578125
|
40 |
+
],
|
41 |
+
"q99": [
|
42 |
+
24.169921875,
|
43 |
+
73.30078125,
|
44 |
+
84.375,
|
45 |
+
101.07421875,
|
46 |
+
11.162109375
|
47 |
+
]
|
48 |
+
},
|
49 |
+
"gripper": {
|
50 |
+
"max": [
|
51 |
+
92.373046875
|
52 |
+
],
|
53 |
+
"min": [
|
54 |
+
-0.615234375
|
55 |
+
],
|
56 |
+
"mean": [
|
57 |
+
14.521344184875488
|
58 |
+
],
|
59 |
+
"std": [
|
60 |
+
13.066176414489746
|
61 |
+
],
|
62 |
+
"q01": [
|
63 |
+
0.0
|
64 |
+
],
|
65 |
+
"q99": [
|
66 |
+
52.470703125
|
67 |
+
]
|
68 |
+
}
|
69 |
+
},
|
70 |
+
"action": {
|
71 |
+
"single_arm": {
|
72 |
+
"max": [
|
73 |
+
33.662109375,
|
74 |
+
86.484375,
|
75 |
+
85.078125,
|
76 |
+
102.65625,
|
77 |
+
33.3984375
|
78 |
+
],
|
79 |
+
"min": [
|
80 |
+
-87.890625,
|
81 |
+
-104.4140625,
|
82 |
+
-110.7421875,
|
83 |
+
-19.599609375,
|
84 |
+
-173.3203125
|
85 |
+
],
|
86 |
+
"mean": [
|
87 |
+
-26.84657096862793,
|
88 |
+
4.594353199005127,
|
89 |
+
-23.747364044189453,
|
90 |
+
74.75859832763672,
|
91 |
+
-111.30194854736328
|
92 |
+
],
|
93 |
+
"std": [
|
94 |
+
27.627857208251953,
|
95 |
+
40.672019958496094,
|
96 |
+
48.966896057128906,
|
97 |
+
20.728727340698242,
|
98 |
+
46.57689666748047
|
99 |
+
],
|
100 |
+
"q01": [
|
101 |
+
-79.453125,
|
102 |
+
-102.744140625,
|
103 |
+
-109.6875,
|
104 |
+
17.9296875,
|
105 |
+
-172.177734375
|
106 |
+
],
|
107 |
+
"q99": [
|
108 |
+
24.08203125,
|
109 |
+
72.685546875,
|
110 |
+
83.84765625,
|
111 |
+
101.77734375,
|
112 |
+
10.72265625
|
113 |
+
]
|
114 |
+
},
|
115 |
+
"gripper": {
|
116 |
+
"max": [
|
117 |
+
92.63671875
|
118 |
+
],
|
119 |
+
"min": [
|
120 |
+
-3.076171875
|
121 |
+
],
|
122 |
+
"mean": [
|
123 |
+
12.46182632446289
|
124 |
+
],
|
125 |
+
"std": [
|
126 |
+
14.029601097106934
|
127 |
+
],
|
128 |
+
"q01": [
|
129 |
+
-0.52734375
|
130 |
+
],
|
131 |
+
"q99": [
|
132 |
+
52.91015625
|
133 |
+
]
|
134 |
+
}
|
135 |
+
}
|
136 |
+
},
|
137 |
+
"modalities": {
|
138 |
+
"video": {
|
139 |
+
"front": {
|
140 |
+
"resolution": [
|
141 |
+
640,
|
142 |
+
480
|
143 |
+
],
|
144 |
+
"channels": 3,
|
145 |
+
"fps": 30.0
|
146 |
+
},
|
147 |
+
"laptop": {
|
148 |
+
"resolution": [
|
149 |
+
640,
|
150 |
+
480
|
151 |
+
],
|
152 |
+
"channels": 3,
|
153 |
+
"fps": 30.0
|
154 |
+
}
|
155 |
+
},
|
156 |
+
"state": {
|
157 |
+
"single_arm": {
|
158 |
+
"absolute": true,
|
159 |
+
"rotation_type": null,
|
160 |
+
"shape": [
|
161 |
+
5
|
162 |
+
],
|
163 |
+
"continuous": true
|
164 |
+
},
|
165 |
+
"gripper": {
|
166 |
+
"absolute": true,
|
167 |
+
"rotation_type": null,
|
168 |
+
"shape": [
|
169 |
+
1
|
170 |
+
],
|
171 |
+
"continuous": true
|
172 |
+
}
|
173 |
+
},
|
174 |
+
"action": {
|
175 |
+
"single_arm": {
|
176 |
+
"absolute": true,
|
177 |
+
"rotation_type": null,
|
178 |
+
"shape": [
|
179 |
+
5
|
180 |
+
],
|
181 |
+
"continuous": true
|
182 |
+
},
|
183 |
+
"gripper": {
|
184 |
+
"absolute": true,
|
185 |
+
"rotation_type": null,
|
186 |
+
"shape": [
|
187 |
+
1
|
188 |
+
],
|
189 |
+
"continuous": true
|
190 |
+
}
|
191 |
+
}
|
192 |
+
},
|
193 |
+
"embodiment_tag": "new_embodiment"
|
194 |
+
}
|
195 |
+
}
|
checkpoint-7000/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0e65895a7b6c052e58b679bdd68bff54a68694a81f38e23d3e03a92059b3600b
|
3 |
+
size 4999367032
|
checkpoint-7000/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:34e7230b2f52e65b83629e430d28e02bffb786970b756c13cd4a21211b800f5a
|
3 |
+
size 2586705312
|
checkpoint-7000/model.safetensors.index.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-7000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:14bc9ed5dcc9ab13c182c3a8d5c25bc5f9d6e9cf1efae67134d2e683a75c39e1
|
3 |
+
size 4147424698
|
checkpoint-7000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ebdbf47e1b77224d159715275bc578926a4cd08f83b15b47e0225eb3eab56e59
|
3 |
+
size 14244
|
checkpoint-7000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:45049460c0fa55fae34b1884c511d0c5cb5241d0d636fad92c82b0e0a657580e
|
3 |
+
size 1064
|
checkpoint-7000/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-8000/config.json
ADDED
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"action_dim": 32,
|
3 |
+
"action_head_cfg": {
|
4 |
+
"action_dim": 32,
|
5 |
+
"action_horizon": 16,
|
6 |
+
"add_pos_embed": true,
|
7 |
+
"backbone_embedding_dim": 2048,
|
8 |
+
"diffusion_model_cfg": {
|
9 |
+
"attention_head_dim": 48,
|
10 |
+
"cross_attention_dim": 2048,
|
11 |
+
"dropout": 0.2,
|
12 |
+
"final_dropout": true,
|
13 |
+
"interleave_self_attention": true,
|
14 |
+
"norm_type": "ada_norm",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_layers": 16,
|
17 |
+
"output_dim": 1024,
|
18 |
+
"positional_embeddings": null
|
19 |
+
},
|
20 |
+
"hidden_size": 1024,
|
21 |
+
"input_embedding_dim": 1536,
|
22 |
+
"max_action_dim": 32,
|
23 |
+
"max_state_dim": 64,
|
24 |
+
"model_dtype": "float32",
|
25 |
+
"noise_beta_alpha": 1.5,
|
26 |
+
"noise_beta_beta": 1.0,
|
27 |
+
"noise_s": 0.999,
|
28 |
+
"num_inference_timesteps": 4,
|
29 |
+
"num_target_vision_tokens": 32,
|
30 |
+
"num_timestep_buckets": 1000,
|
31 |
+
"tune_diffusion_model": true,
|
32 |
+
"tune_projector": true,
|
33 |
+
"use_vlln": true,
|
34 |
+
"vl_self_attention_cfg": {
|
35 |
+
"attention_head_dim": 64,
|
36 |
+
"dropout": 0.2,
|
37 |
+
"final_dropout": true,
|
38 |
+
"num_attention_heads": 32,
|
39 |
+
"num_layers": 4,
|
40 |
+
"positional_embeddings": null
|
41 |
+
}
|
42 |
+
},
|
43 |
+
"action_horizon": 16,
|
44 |
+
"architectures": [
|
45 |
+
"GR00T_N1_5"
|
46 |
+
],
|
47 |
+
"attn_implementation": null,
|
48 |
+
"backbone_cfg": {
|
49 |
+
"eagle_path": "NVEagle/eagle_er-qwen3_1_7B-Siglip2_400M_stage1_5_128gpu_er_v7_1mlp_nops",
|
50 |
+
"load_bf16": false,
|
51 |
+
"project_to_dim": null,
|
52 |
+
"reproject_vision": false,
|
53 |
+
"select_layer": 12,
|
54 |
+
"tune_llm": false,
|
55 |
+
"tune_visual": true,
|
56 |
+
"use_flash_attention": true
|
57 |
+
},
|
58 |
+
"compute_dtype": "bfloat16",
|
59 |
+
"hidden_size": 2048,
|
60 |
+
"model_dtype": "float32",
|
61 |
+
"model_type": "gr00t_n1_5",
|
62 |
+
"torch_dtype": "bfloat16",
|
63 |
+
"transformers_version": "4.51.3"
|
64 |
+
}
|
checkpoint-8000/experiment_cfg/metadata.json
ADDED
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"new_embodiment": {
|
3 |
+
"statistics": {
|
4 |
+
"state": {
|
5 |
+
"single_arm": {
|
6 |
+
"max": [
|
7 |
+
33.22265625,
|
8 |
+
86.1328125,
|
9 |
+
84.7265625,
|
10 |
+
101.337890625,
|
11 |
+
32.783203125
|
12 |
+
],
|
13 |
+
"min": [
|
14 |
+
-87.275390625,
|
15 |
+
-103.974609375,
|
16 |
+
-106.435546875,
|
17 |
+
-16.34765625,
|
18 |
+
-170.068359375
|
19 |
+
],
|
20 |
+
"mean": [
|
21 |
+
-26.84341812133789,
|
22 |
+
6.497307777404785,
|
23 |
+
-22.14896583557129,
|
24 |
+
74.85757446289062,
|
25 |
+
-111.02351379394531
|
26 |
+
],
|
27 |
+
"std": [
|
28 |
+
27.50257110595703,
|
29 |
+
41.151065826416016,
|
30 |
+
48.41417694091797,
|
31 |
+
20.208982467651367,
|
32 |
+
46.13625717163086
|
33 |
+
],
|
34 |
+
"q01": [
|
35 |
+
-79.013671875,
|
36 |
+
-103.271484375,
|
37 |
+
-104.0625,
|
38 |
+
19.187402343750005,
|
39 |
+
-169.892578125
|
40 |
+
],
|
41 |
+
"q99": [
|
42 |
+
24.169921875,
|
43 |
+
73.30078125,
|
44 |
+
84.375,
|
45 |
+
101.07421875,
|
46 |
+
11.162109375
|
47 |
+
]
|
48 |
+
},
|
49 |
+
"gripper": {
|
50 |
+
"max": [
|
51 |
+
92.373046875
|
52 |
+
],
|
53 |
+
"min": [
|
54 |
+
-0.615234375
|
55 |
+
],
|
56 |
+
"mean": [
|
57 |
+
14.521344184875488
|
58 |
+
],
|
59 |
+
"std": [
|
60 |
+
13.066176414489746
|
61 |
+
],
|
62 |
+
"q01": [
|
63 |
+
0.0
|
64 |
+
],
|
65 |
+
"q99": [
|
66 |
+
52.470703125
|
67 |
+
]
|
68 |
+
}
|
69 |
+
},
|
70 |
+
"action": {
|
71 |
+
"single_arm": {
|
72 |
+
"max": [
|
73 |
+
33.662109375,
|
74 |
+
86.484375,
|
75 |
+
85.078125,
|
76 |
+
102.65625,
|
77 |
+
33.3984375
|
78 |
+
],
|
79 |
+
"min": [
|
80 |
+
-87.890625,
|
81 |
+
-104.4140625,
|
82 |
+
-110.7421875,
|
83 |
+
-19.599609375,
|
84 |
+
-173.3203125
|
85 |
+
],
|
86 |
+
"mean": [
|
87 |
+
-26.84657096862793,
|
88 |
+
4.594353199005127,
|
89 |
+
-23.747364044189453,
|
90 |
+
74.75859832763672,
|
91 |
+
-111.30194854736328
|
92 |
+
],
|
93 |
+
"std": [
|
94 |
+
27.627857208251953,
|
95 |
+
40.672019958496094,
|
96 |
+
48.966896057128906,
|
97 |
+
20.728727340698242,
|
98 |
+
46.57689666748047
|
99 |
+
],
|
100 |
+
"q01": [
|
101 |
+
-79.453125,
|
102 |
+
-102.744140625,
|
103 |
+
-109.6875,
|
104 |
+
17.9296875,
|
105 |
+
-172.177734375
|
106 |
+
],
|
107 |
+
"q99": [
|
108 |
+
24.08203125,
|
109 |
+
72.685546875,
|
110 |
+
83.84765625,
|
111 |
+
101.77734375,
|
112 |
+
10.72265625
|
113 |
+
]
|
114 |
+
},
|
115 |
+
"gripper": {
|
116 |
+
"max": [
|
117 |
+
92.63671875
|
118 |
+
],
|
119 |
+
"min": [
|
120 |
+
-3.076171875
|
121 |
+
],
|
122 |
+
"mean": [
|
123 |
+
12.46182632446289
|
124 |
+
],
|
125 |
+
"std": [
|
126 |
+
14.029601097106934
|
127 |
+
],
|
128 |
+
"q01": [
|
129 |
+
-0.52734375
|
130 |
+
],
|
131 |
+
"q99": [
|
132 |
+
52.91015625
|
133 |
+
]
|
134 |
+
}
|
135 |
+
}
|
136 |
+
},
|
137 |
+
"modalities": {
|
138 |
+
"video": {
|
139 |
+
"front": {
|
140 |
+
"resolution": [
|
141 |
+
640,
|
142 |
+
480
|
143 |
+
],
|
144 |
+
"channels": 3,
|
145 |
+
"fps": 30.0
|
146 |
+
},
|
147 |
+
"laptop": {
|
148 |
+
"resolution": [
|
149 |
+
640,
|
150 |
+
480
|
151 |
+
],
|
152 |
+
"channels": 3,
|
153 |
+
"fps": 30.0
|
154 |
+
}
|
155 |
+
},
|
156 |
+
"state": {
|
157 |
+
"single_arm": {
|
158 |
+
"absolute": true,
|
159 |
+
"rotation_type": null,
|
160 |
+
"shape": [
|
161 |
+
5
|
162 |
+
],
|
163 |
+
"continuous": true
|
164 |
+
},
|
165 |
+
"gripper": {
|
166 |
+
"absolute": true,
|
167 |
+
"rotation_type": null,
|
168 |
+
"shape": [
|
169 |
+
1
|
170 |
+
],
|
171 |
+
"continuous": true
|
172 |
+
}
|
173 |
+
},
|
174 |
+
"action": {
|
175 |
+
"single_arm": {
|
176 |
+
"absolute": true,
|
177 |
+
"rotation_type": null,
|
178 |
+
"shape": [
|
179 |
+
5
|
180 |
+
],
|
181 |
+
"continuous": true
|
182 |
+
},
|
183 |
+
"gripper": {
|
184 |
+
"absolute": true,
|
185 |
+
"rotation_type": null,
|
186 |
+
"shape": [
|
187 |
+
1
|
188 |
+
],
|
189 |
+
"continuous": true
|
190 |
+
}
|
191 |
+
}
|
192 |
+
},
|
193 |
+
"embodiment_tag": "new_embodiment"
|
194 |
+
}
|
195 |
+
}
|
checkpoint-8000/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0e65895a7b6c052e58b679bdd68bff54a68694a81f38e23d3e03a92059b3600b
|
3 |
+
size 4999367032
|
checkpoint-8000/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:55b8a95b9a98c61059711fe605141c966d8029578f3817615ff85066850b7fa0
|
3 |
+
size 2586705312
|
checkpoint-8000/model.safetensors.index.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|