Upload folder using huggingface_hub
Browse files- checkpoint-437/config.json +27 -0
- checkpoint-437/generation_config.json +6 -0
- checkpoint-437/model-00001-of-00006.safetensors +3 -0
- checkpoint-437/model-00002-of-00006.safetensors +3 -0
- checkpoint-437/model-00003-of-00006.safetensors +3 -0
- checkpoint-437/model-00004-of-00006.safetensors +3 -0
- checkpoint-437/model-00005-of-00006.safetensors +3 -0
- checkpoint-437/model-00006-of-00006.safetensors +3 -0
- checkpoint-437/model.safetensors.index.json +362 -0
- checkpoint-437/optimizer.pt +3 -0
- checkpoint-437/rng_state.pth +3 -0
- checkpoint-437/scheduler.pt +3 -0
- checkpoint-437/trainer_state.json +3092 -0
- checkpoint-437/training_args.bin +3 -0
- checkpoint-874/config.json +27 -0
- checkpoint-874/generation_config.json +6 -0
- checkpoint-874/model-00001-of-00006.safetensors +3 -0
- checkpoint-874/model-00002-of-00006.safetensors +3 -0
- checkpoint-874/model-00003-of-00006.safetensors +3 -0
- checkpoint-874/model-00004-of-00006.safetensors +3 -0
- checkpoint-874/model-00005-of-00006.safetensors +3 -0
- checkpoint-874/model-00006-of-00006.safetensors +3 -0
- checkpoint-874/model.safetensors.index.json +362 -0
- checkpoint-874/optimizer.pt +3 -0
- checkpoint-874/rng_state.pth +3 -0
- checkpoint-874/scheduler.pt +3 -0
- checkpoint-874/trainer_state.json +0 -0
- checkpoint-874/training_args.bin +3 -0
- config.json +27 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +362 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +189 -0
- training_args.bin +3 -0
- vocab.json +0 -0
checkpoint-437/config.json
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/OLMo-2-1124-7B-hne_Deva-coli-rand/",
|
3 |
+
"architectures": [
|
4 |
+
"Olmo2ForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"eos_token_id": 100257,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 4096,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 11008,
|
13 |
+
"max_position_embeddings": 4096,
|
14 |
+
"model_type": "olmo2",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_hidden_layers": 32,
|
17 |
+
"num_key_value_heads": 32,
|
18 |
+
"pad_token_id": 100277,
|
19 |
+
"rms_norm_eps": 1e-06,
|
20 |
+
"rope_scaling": null,
|
21 |
+
"rope_theta": 500000,
|
22 |
+
"tie_word_embeddings": false,
|
23 |
+
"torch_dtype": "float32",
|
24 |
+
"transformers_version": "4.48.0.dev0",
|
25 |
+
"use_cache": true,
|
26 |
+
"vocab_size": 100384
|
27 |
+
}
|
checkpoint-437/generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"eos_token_id": 100257,
|
4 |
+
"pad_token_id": 100277,
|
5 |
+
"transformers_version": "4.48.0.dev0"
|
6 |
+
}
|
checkpoint-437/model-00001-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:679906230e987faec67c1c55504a78b57b6eabb435407c97b26e04c5c6714052
|
3 |
+
size 4950070472
|
checkpoint-437/model-00002-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:de0b6a357d03676c4986588aaf4dc96afc3f44a0498514961d2b2cfa1940655e
|
3 |
+
size 4991622816
|
checkpoint-437/model-00003-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c1038a7d346a681a8fb6949e054c2246f3f3c80e826855c1cec6af1155cc607d
|
3 |
+
size 4924546896
|
checkpoint-437/model-00004-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:33c0a21146ace02d36928787ae7f34be868f7c81b894dea98ec7b0e5a3ea01b2
|
3 |
+
size 4857404928
|
checkpoint-437/model-00005-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e7f82a3014ccfc0f67208f63785ae4bc71f09aba86db48bf6139d18178abbfed
|
3 |
+
size 4857404928
|
checkpoint-437/model-00006-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:23d2071f43c193018778cb6c395970f0737966d571a8977351421bd1770e5375
|
3 |
+
size 4614509080
|
checkpoint-437/model.safetensors.index.json
ADDED
@@ -0,0 +1,362 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 29195517952
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00006-of-00006.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00006.safetensors",
|
8 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
9 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
10 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
12 |
+
"model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
16 |
+
"model.layers.0.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
18 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
19 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
20 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
21 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
22 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
23 |
+
"model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
|
24 |
+
"model.layers.1.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
25 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
26 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
27 |
+
"model.layers.1.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
28 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
29 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
30 |
+
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
31 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
32 |
+
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
33 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
34 |
+
"model.layers.10.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
35 |
+
"model.layers.10.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
36 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
37 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
38 |
+
"model.layers.10.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
39 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
40 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
41 |
+
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
42 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
43 |
+
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
44 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
45 |
+
"model.layers.11.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
46 |
+
"model.layers.11.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
47 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
48 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
49 |
+
"model.layers.11.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
50 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
51 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
52 |
+
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
53 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
54 |
+
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
55 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
56 |
+
"model.layers.12.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
57 |
+
"model.layers.12.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
58 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
59 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
60 |
+
"model.layers.12.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
61 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
62 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
63 |
+
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
64 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
65 |
+
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
66 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
67 |
+
"model.layers.13.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
68 |
+
"model.layers.13.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
69 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
70 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
71 |
+
"model.layers.13.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
72 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
73 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
74 |
+
"model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
75 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
76 |
+
"model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
77 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
78 |
+
"model.layers.14.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
79 |
+
"model.layers.14.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
80 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
81 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
82 |
+
"model.layers.14.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
83 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
84 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
85 |
+
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
86 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
87 |
+
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
88 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
89 |
+
"model.layers.15.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
90 |
+
"model.layers.15.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
91 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
92 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
93 |
+
"model.layers.15.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
94 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
95 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
96 |
+
"model.layers.16.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
97 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
98 |
+
"model.layers.16.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
99 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
100 |
+
"model.layers.16.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
101 |
+
"model.layers.16.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
102 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
103 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
104 |
+
"model.layers.16.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
105 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
106 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
107 |
+
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
108 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
109 |
+
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
110 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
111 |
+
"model.layers.17.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
112 |
+
"model.layers.17.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
113 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
114 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
115 |
+
"model.layers.17.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
116 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
117 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
118 |
+
"model.layers.18.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
119 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
120 |
+
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
121 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
122 |
+
"model.layers.18.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
123 |
+
"model.layers.18.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
124 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
125 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
126 |
+
"model.layers.18.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
127 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
128 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
129 |
+
"model.layers.19.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
130 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
131 |
+
"model.layers.19.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
132 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
133 |
+
"model.layers.19.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
134 |
+
"model.layers.19.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
135 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
136 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
137 |
+
"model.layers.19.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
138 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
139 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
140 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
141 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
142 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
143 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
144 |
+
"model.layers.2.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
|
145 |
+
"model.layers.2.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
146 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
147 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
148 |
+
"model.layers.2.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
149 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
150 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
151 |
+
"model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
152 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
153 |
+
"model.layers.20.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
154 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
155 |
+
"model.layers.20.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
156 |
+
"model.layers.20.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
157 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
158 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
159 |
+
"model.layers.20.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
160 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
161 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
162 |
+
"model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
163 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
164 |
+
"model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
165 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
166 |
+
"model.layers.21.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
167 |
+
"model.layers.21.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
168 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
169 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
170 |
+
"model.layers.21.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
171 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
172 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
173 |
+
"model.layers.22.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
174 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
175 |
+
"model.layers.22.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
176 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
177 |
+
"model.layers.22.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
178 |
+
"model.layers.22.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
179 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
180 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
181 |
+
"model.layers.22.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
182 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
183 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
184 |
+
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
185 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
186 |
+
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
187 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
188 |
+
"model.layers.23.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
189 |
+
"model.layers.23.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
190 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
191 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
192 |
+
"model.layers.23.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
193 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
194 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
195 |
+
"model.layers.24.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
196 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
197 |
+
"model.layers.24.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
198 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
199 |
+
"model.layers.24.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
200 |
+
"model.layers.24.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
201 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
202 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
203 |
+
"model.layers.24.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
204 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
205 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
206 |
+
"model.layers.25.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
207 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
208 |
+
"model.layers.25.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
209 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
210 |
+
"model.layers.25.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
211 |
+
"model.layers.25.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
212 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
213 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
214 |
+
"model.layers.25.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
215 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
216 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
217 |
+
"model.layers.26.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
218 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
219 |
+
"model.layers.26.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
220 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
221 |
+
"model.layers.26.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
222 |
+
"model.layers.26.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
223 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
224 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
225 |
+
"model.layers.26.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
226 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
227 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
228 |
+
"model.layers.27.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
229 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
230 |
+
"model.layers.27.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
231 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
232 |
+
"model.layers.27.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
233 |
+
"model.layers.27.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
234 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
235 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
236 |
+
"model.layers.27.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
237 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
238 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
239 |
+
"model.layers.28.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
240 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
241 |
+
"model.layers.28.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
242 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
243 |
+
"model.layers.28.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
|
244 |
+
"model.layers.28.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
245 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
246 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
247 |
+
"model.layers.28.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
248 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
249 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
250 |
+
"model.layers.29.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
251 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
252 |
+
"model.layers.29.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
253 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
254 |
+
"model.layers.29.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
|
255 |
+
"model.layers.29.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
|
256 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
257 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
258 |
+
"model.layers.29.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
|
259 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
260 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
261 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
262 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
263 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
264 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
265 |
+
"model.layers.3.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
|
266 |
+
"model.layers.3.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
267 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
268 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
269 |
+
"model.layers.3.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
270 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
271 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
272 |
+
"model.layers.30.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
273 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
274 |
+
"model.layers.30.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
275 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
276 |
+
"model.layers.30.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
|
277 |
+
"model.layers.30.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
|
278 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
279 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
280 |
+
"model.layers.30.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
|
281 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
282 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
283 |
+
"model.layers.31.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
284 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
285 |
+
"model.layers.31.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
286 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
287 |
+
"model.layers.31.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
|
288 |
+
"model.layers.31.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
|
289 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
290 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
291 |
+
"model.layers.31.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
|
292 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
293 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
294 |
+
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
295 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
296 |
+
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
297 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
298 |
+
"model.layers.4.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
299 |
+
"model.layers.4.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
300 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
301 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
302 |
+
"model.layers.4.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
303 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
304 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
305 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
306 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
307 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
308 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
309 |
+
"model.layers.5.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
310 |
+
"model.layers.5.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
311 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
312 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
313 |
+
"model.layers.5.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
314 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
315 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
316 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
317 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
318 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
319 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
320 |
+
"model.layers.6.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
321 |
+
"model.layers.6.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
322 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
323 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
324 |
+
"model.layers.6.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
325 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
326 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
327 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
328 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
329 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
330 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
331 |
+
"model.layers.7.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
332 |
+
"model.layers.7.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
333 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
334 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
335 |
+
"model.layers.7.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
336 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
337 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
338 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
339 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
340 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
341 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
342 |
+
"model.layers.8.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
343 |
+
"model.layers.8.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
344 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
345 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
346 |
+
"model.layers.8.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
347 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
348 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
349 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
350 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
351 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
352 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
353 |
+
"model.layers.9.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
354 |
+
"model.layers.9.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
355 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
356 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
357 |
+
"model.layers.9.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
358 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
359 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
360 |
+
"model.norm.weight": "model-00006-of-00006.safetensors"
|
361 |
+
}
|
362 |
+
}
|
checkpoint-437/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:32bc8d04b8a4ec881fb99654aa7777a4ac93a437c51484fd8104f9f28aca6f49
|
3 |
+
size 13055369358
|
checkpoint-437/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
|
3 |
+
size 14244
|
checkpoint-437/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2fd5eb6b9346e93b07c8dd975df42b37279c222144e4a1e6f522f4c930275889
|
3 |
+
size 1064
|
checkpoint-437/trainer_state.json
ADDED
@@ -0,0 +1,3092 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 437,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.002288329519450801,
|
13 |
+
"grad_norm": 18.883691787719727,
|
14 |
+
"learning_rate": 2.2727272727272728e-06,
|
15 |
+
"loss": 10.3613,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.004576659038901602,
|
20 |
+
"grad_norm": 23.170867919921875,
|
21 |
+
"learning_rate": 4.5454545454545455e-06,
|
22 |
+
"loss": 11.4465,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.006864988558352402,
|
27 |
+
"grad_norm": 22.565134048461914,
|
28 |
+
"learning_rate": 6.818181818181818e-06,
|
29 |
+
"loss": 11.6681,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.009153318077803204,
|
34 |
+
"grad_norm": 17.173921585083008,
|
35 |
+
"learning_rate": 9.090909090909091e-06,
|
36 |
+
"loss": 9.774,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.011441647597254004,
|
41 |
+
"grad_norm": 20.478288650512695,
|
42 |
+
"learning_rate": 1.1363636363636365e-05,
|
43 |
+
"loss": 9.4622,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.013729977116704805,
|
48 |
+
"grad_norm": 16.507568359375,
|
49 |
+
"learning_rate": 1.3636363636363637e-05,
|
50 |
+
"loss": 9.8348,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.016018306636155607,
|
55 |
+
"grad_norm": 19.91631317138672,
|
56 |
+
"learning_rate": 1.590909090909091e-05,
|
57 |
+
"loss": 8.3954,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.018306636155606407,
|
62 |
+
"grad_norm": 18.219541549682617,
|
63 |
+
"learning_rate": 1.8181818181818182e-05,
|
64 |
+
"loss": 8.8841,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.020594965675057208,
|
69 |
+
"grad_norm": 18.8386173248291,
|
70 |
+
"learning_rate": 2.0454545454545457e-05,
|
71 |
+
"loss": 7.7361,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.02288329519450801,
|
76 |
+
"grad_norm": 39.84943771362305,
|
77 |
+
"learning_rate": 2.272727272727273e-05,
|
78 |
+
"loss": 7.8007,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.02517162471395881,
|
83 |
+
"grad_norm": 37.528114318847656,
|
84 |
+
"learning_rate": 2.5e-05,
|
85 |
+
"loss": 7.3203,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.02745995423340961,
|
90 |
+
"grad_norm": 17.135168075561523,
|
91 |
+
"learning_rate": 2.7272727272727273e-05,
|
92 |
+
"loss": 6.4416,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.029748283752860413,
|
97 |
+
"grad_norm": 22.87267303466797,
|
98 |
+
"learning_rate": 2.954545454545455e-05,
|
99 |
+
"loss": 6.7089,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.032036613272311214,
|
104 |
+
"grad_norm": 15.40108871459961,
|
105 |
+
"learning_rate": 3.181818181818182e-05,
|
106 |
+
"loss": 5.8722,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.034324942791762014,
|
111 |
+
"grad_norm": 14.930537223815918,
|
112 |
+
"learning_rate": 3.409090909090909e-05,
|
113 |
+
"loss": 5.4715,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.036613272311212815,
|
118 |
+
"grad_norm": 24.848709106445312,
|
119 |
+
"learning_rate": 3.6363636363636364e-05,
|
120 |
+
"loss": 6.0102,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.038901601830663615,
|
125 |
+
"grad_norm": 9.122722625732422,
|
126 |
+
"learning_rate": 3.8636363636363636e-05,
|
127 |
+
"loss": 5.1952,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.041189931350114416,
|
132 |
+
"grad_norm": 19.82050895690918,
|
133 |
+
"learning_rate": 4.0909090909090915e-05,
|
134 |
+
"loss": 5.4025,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.043478260869565216,
|
139 |
+
"grad_norm": 14.143157958984375,
|
140 |
+
"learning_rate": 4.318181818181819e-05,
|
141 |
+
"loss": 5.4865,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.04576659038901602,
|
146 |
+
"grad_norm": 13.207295417785645,
|
147 |
+
"learning_rate": 4.545454545454546e-05,
|
148 |
+
"loss": 4.9825,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.04805491990846682,
|
153 |
+
"grad_norm": 14.648661613464355,
|
154 |
+
"learning_rate": 4.772727272727273e-05,
|
155 |
+
"loss": 5.2058,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.05034324942791762,
|
160 |
+
"grad_norm": 14.701571464538574,
|
161 |
+
"learning_rate": 5e-05,
|
162 |
+
"loss": 4.878,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.05263157894736842,
|
167 |
+
"grad_norm": 11.080320358276367,
|
168 |
+
"learning_rate": 5.2272727272727274e-05,
|
169 |
+
"loss": 4.8911,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.05491990846681922,
|
174 |
+
"grad_norm": 7.584497451782227,
|
175 |
+
"learning_rate": 5.4545454545454546e-05,
|
176 |
+
"loss": 4.755,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.057208237986270026,
|
181 |
+
"grad_norm": 5.899540424346924,
|
182 |
+
"learning_rate": 5.6818181818181825e-05,
|
183 |
+
"loss": 4.7097,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.059496567505720827,
|
188 |
+
"grad_norm": 25.04722785949707,
|
189 |
+
"learning_rate": 5.90909090909091e-05,
|
190 |
+
"loss": 4.2626,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.06178489702517163,
|
195 |
+
"grad_norm": 22.6114501953125,
|
196 |
+
"learning_rate": 6.136363636363636e-05,
|
197 |
+
"loss": 4.7042,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.06407322654462243,
|
202 |
+
"grad_norm": 9.285355567932129,
|
203 |
+
"learning_rate": 6.363636363636364e-05,
|
204 |
+
"loss": 4.4734,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.06636155606407322,
|
209 |
+
"grad_norm": 6.6501874923706055,
|
210 |
+
"learning_rate": 6.59090909090909e-05,
|
211 |
+
"loss": 4.381,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.06864988558352403,
|
216 |
+
"grad_norm": 5.746420860290527,
|
217 |
+
"learning_rate": 6.818181818181818e-05,
|
218 |
+
"loss": 4.2421,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.07093821510297482,
|
223 |
+
"grad_norm": 3.9305100440979004,
|
224 |
+
"learning_rate": 7.045454545454546e-05,
|
225 |
+
"loss": 4.1085,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.07322654462242563,
|
230 |
+
"grad_norm": 9.795059204101562,
|
231 |
+
"learning_rate": 7.272727272727273e-05,
|
232 |
+
"loss": 4.0933,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.07551487414187644,
|
237 |
+
"grad_norm": 5.907273769378662,
|
238 |
+
"learning_rate": 7.500000000000001e-05,
|
239 |
+
"loss": 4.1663,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.07780320366132723,
|
244 |
+
"grad_norm": 6.9800190925598145,
|
245 |
+
"learning_rate": 7.727272727272727e-05,
|
246 |
+
"loss": 4.1722,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.08009153318077804,
|
251 |
+
"grad_norm": 7.007209777832031,
|
252 |
+
"learning_rate": 7.954545454545455e-05,
|
253 |
+
"loss": 4.1487,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.08237986270022883,
|
258 |
+
"grad_norm": 7.624848365783691,
|
259 |
+
"learning_rate": 8.181818181818183e-05,
|
260 |
+
"loss": 4.2597,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.08466819221967964,
|
265 |
+
"grad_norm": 6.604410171508789,
|
266 |
+
"learning_rate": 8.40909090909091e-05,
|
267 |
+
"loss": 4.1198,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.08695652173913043,
|
272 |
+
"grad_norm": 5.09440803527832,
|
273 |
+
"learning_rate": 8.636363636363637e-05,
|
274 |
+
"loss": 3.8203,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.08924485125858124,
|
279 |
+
"grad_norm": 5.450263500213623,
|
280 |
+
"learning_rate": 8.863636363636364e-05,
|
281 |
+
"loss": 3.9002,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.09153318077803203,
|
286 |
+
"grad_norm": 3.4505696296691895,
|
287 |
+
"learning_rate": 9.090909090909092e-05,
|
288 |
+
"loss": 3.9174,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.09382151029748284,
|
293 |
+
"grad_norm": 7.434864044189453,
|
294 |
+
"learning_rate": 9.318181818181818e-05,
|
295 |
+
"loss": 4.0441,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.09610983981693363,
|
300 |
+
"grad_norm": 12.046749114990234,
|
301 |
+
"learning_rate": 9.545454545454546e-05,
|
302 |
+
"loss": 3.7604,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.09839816933638444,
|
307 |
+
"grad_norm": 9.222173690795898,
|
308 |
+
"learning_rate": 9.772727272727274e-05,
|
309 |
+
"loss": 4.1223,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.10068649885583524,
|
314 |
+
"grad_norm": 4.6726789474487305,
|
315 |
+
"learning_rate": 0.0001,
|
316 |
+
"loss": 3.9827,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.10297482837528604,
|
321 |
+
"grad_norm": 4.8803791999816895,
|
322 |
+
"learning_rate": 9.999964183507702e-05,
|
323 |
+
"loss": 3.8722,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.10526315789473684,
|
328 |
+
"grad_norm": 6.589260101318359,
|
329 |
+
"learning_rate": 9.999856734543933e-05,
|
330 |
+
"loss": 3.7152,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.10755148741418764,
|
335 |
+
"grad_norm": 3.9649579524993896,
|
336 |
+
"learning_rate": 9.999677654648072e-05,
|
337 |
+
"loss": 3.606,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.10983981693363844,
|
342 |
+
"grad_norm": 7.821356296539307,
|
343 |
+
"learning_rate": 9.999426946385727e-05,
|
344 |
+
"loss": 3.9462,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.11212814645308924,
|
349 |
+
"grad_norm": 7.566446304321289,
|
350 |
+
"learning_rate": 9.999104613348688e-05,
|
351 |
+
"loss": 3.5093,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.11441647597254005,
|
356 |
+
"grad_norm": 6.507759094238281,
|
357 |
+
"learning_rate": 9.998710660154898e-05,
|
358 |
+
"loss": 3.8733,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.11670480549199085,
|
363 |
+
"grad_norm": 3.9552855491638184,
|
364 |
+
"learning_rate": 9.998245092448362e-05,
|
365 |
+
"loss": 3.6431,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.11899313501144165,
|
370 |
+
"grad_norm": 6.334136486053467,
|
371 |
+
"learning_rate": 9.997707916899079e-05,
|
372 |
+
"loss": 3.602,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.12128146453089245,
|
377 |
+
"grad_norm": 3.8587405681610107,
|
378 |
+
"learning_rate": 9.99709914120295e-05,
|
379 |
+
"loss": 3.5833,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.12356979405034325,
|
384 |
+
"grad_norm": 8.523442268371582,
|
385 |
+
"learning_rate": 9.996418774081658e-05,
|
386 |
+
"loss": 3.7635,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.12585812356979406,
|
391 |
+
"grad_norm": 6.120156288146973,
|
392 |
+
"learning_rate": 9.995666825282547e-05,
|
393 |
+
"loss": 3.5929,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.12814645308924486,
|
398 |
+
"grad_norm": 6.545000076293945,
|
399 |
+
"learning_rate": 9.994843305578486e-05,
|
400 |
+
"loss": 3.5276,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.13043478260869565,
|
405 |
+
"grad_norm": 6.0784759521484375,
|
406 |
+
"learning_rate": 9.99394822676771e-05,
|
407 |
+
"loss": 3.7363,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.13272311212814644,
|
412 |
+
"grad_norm": 3.7013518810272217,
|
413 |
+
"learning_rate": 9.99298160167365e-05,
|
414 |
+
"loss": 3.4895,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.13501144164759726,
|
419 |
+
"grad_norm": 7.4772419929504395,
|
420 |
+
"learning_rate": 9.991943444144757e-05,
|
421 |
+
"loss": 3.6833,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.13729977116704806,
|
426 |
+
"grad_norm": 19.202077865600586,
|
427 |
+
"learning_rate": 9.990833769054293e-05,
|
428 |
+
"loss": 3.531,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.13958810068649885,
|
433 |
+
"grad_norm": 5.234053611755371,
|
434 |
+
"learning_rate": 9.989652592300128e-05,
|
435 |
+
"loss": 3.6795,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.14187643020594964,
|
440 |
+
"grad_norm": 4.528527736663818,
|
441 |
+
"learning_rate": 9.988399930804504e-05,
|
442 |
+
"loss": 3.6353,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.14416475972540047,
|
447 |
+
"grad_norm": 4.144354820251465,
|
448 |
+
"learning_rate": 9.987075802513797e-05,
|
449 |
+
"loss": 3.7929,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.14645308924485126,
|
454 |
+
"grad_norm": 7.227776050567627,
|
455 |
+
"learning_rate": 9.985680226398261e-05,
|
456 |
+
"loss": 3.6075,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.14874141876430205,
|
461 |
+
"grad_norm": 3.7296457290649414,
|
462 |
+
"learning_rate": 9.98421322245175e-05,
|
463 |
+
"loss": 3.5842,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.15102974828375287,
|
468 |
+
"grad_norm": 4.071051597595215,
|
469 |
+
"learning_rate": 9.98267481169144e-05,
|
470 |
+
"loss": 3.5031,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.15331807780320367,
|
475 |
+
"grad_norm": 4.512979030609131,
|
476 |
+
"learning_rate": 9.981065016157522e-05,
|
477 |
+
"loss": 3.529,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.15560640732265446,
|
482 |
+
"grad_norm": 4.703476905822754,
|
483 |
+
"learning_rate": 9.979383858912885e-05,
|
484 |
+
"loss": 3.4393,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.15789473684210525,
|
489 |
+
"grad_norm": 3.3399972915649414,
|
490 |
+
"learning_rate": 9.977631364042795e-05,
|
491 |
+
"loss": 3.3321,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.16018306636155608,
|
496 |
+
"grad_norm": 4.721877574920654,
|
497 |
+
"learning_rate": 9.975807556654537e-05,
|
498 |
+
"loss": 3.3929,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.16247139588100687,
|
503 |
+
"grad_norm": 4.589676856994629,
|
504 |
+
"learning_rate": 9.973912462877066e-05,
|
505 |
+
"loss": 3.5313,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.16475972540045766,
|
510 |
+
"grad_norm": 3.2385528087615967,
|
511 |
+
"learning_rate": 9.971946109860626e-05,
|
512 |
+
"loss": 3.3098,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.16704805491990846,
|
517 |
+
"grad_norm": 10.516329765319824,
|
518 |
+
"learning_rate": 9.969908525776364e-05,
|
519 |
+
"loss": 3.2536,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.16933638443935928,
|
524 |
+
"grad_norm": 4.250394821166992,
|
525 |
+
"learning_rate": 9.967799739815925e-05,
|
526 |
+
"loss": 3.5101,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.17162471395881007,
|
531 |
+
"grad_norm": 6.82457160949707,
|
532 |
+
"learning_rate": 9.965619782191036e-05,
|
533 |
+
"loss": 3.3573,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.17391304347826086,
|
538 |
+
"grad_norm": 3.3551783561706543,
|
539 |
+
"learning_rate": 9.963368684133072e-05,
|
540 |
+
"loss": 3.2689,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.17620137299771166,
|
545 |
+
"grad_norm": 3.7537643909454346,
|
546 |
+
"learning_rate": 9.961046477892608e-05,
|
547 |
+
"loss": 3.4124,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.17848970251716248,
|
552 |
+
"grad_norm": 4.550995826721191,
|
553 |
+
"learning_rate": 9.958653196738954e-05,
|
554 |
+
"loss": 3.2057,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.18077803203661327,
|
559 |
+
"grad_norm": 3.5284054279327393,
|
560 |
+
"learning_rate": 9.956188874959687e-05,
|
561 |
+
"loss": 3.3048,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.18306636155606407,
|
566 |
+
"grad_norm": 3.11651873588562,
|
567 |
+
"learning_rate": 9.953653547860151e-05,
|
568 |
+
"loss": 3.2424,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.1853546910755149,
|
573 |
+
"grad_norm": 3.3010475635528564,
|
574 |
+
"learning_rate": 9.951047251762954e-05,
|
575 |
+
"loss": 3.3064,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.18764302059496568,
|
580 |
+
"grad_norm": 3.0703697204589844,
|
581 |
+
"learning_rate": 9.948370024007454e-05,
|
582 |
+
"loss": 3.2671,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.18993135011441648,
|
587 |
+
"grad_norm": 3.3035237789154053,
|
588 |
+
"learning_rate": 9.94562190294921e-05,
|
589 |
+
"loss": 3.2557,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.19221967963386727,
|
594 |
+
"grad_norm": 4.406396865844727,
|
595 |
+
"learning_rate": 9.942802927959443e-05,
|
596 |
+
"loss": 3.2696,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.1945080091533181,
|
601 |
+
"grad_norm": 3.550173759460449,
|
602 |
+
"learning_rate": 9.939913139424476e-05,
|
603 |
+
"loss": 3.195,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.19679633867276888,
|
608 |
+
"grad_norm": 3.505958318710327,
|
609 |
+
"learning_rate": 9.936952578745142e-05,
|
610 |
+
"loss": 3.1276,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.19908466819221968,
|
615 |
+
"grad_norm": 3.840190887451172,
|
616 |
+
"learning_rate": 9.933921288336201e-05,
|
617 |
+
"loss": 3.164,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.20137299771167047,
|
622 |
+
"grad_norm": 3.551823139190674,
|
623 |
+
"learning_rate": 9.93081931162573e-05,
|
624 |
+
"loss": 3.1447,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.2036613272311213,
|
629 |
+
"grad_norm": 2.611680269241333,
|
630 |
+
"learning_rate": 9.927646693054496e-05,
|
631 |
+
"loss": 2.9314,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.20594965675057209,
|
636 |
+
"grad_norm": 3.5281317234039307,
|
637 |
+
"learning_rate": 9.92440347807533e-05,
|
638 |
+
"loss": 3.1775,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.20823798627002288,
|
643 |
+
"grad_norm": 2.898061513900757,
|
644 |
+
"learning_rate": 9.921089713152462e-05,
|
645 |
+
"loss": 3.1434,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.21052631578947367,
|
650 |
+
"grad_norm": 2.3443377017974854,
|
651 |
+
"learning_rate": 9.91770544576087e-05,
|
652 |
+
"loss": 3.1309,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.2128146453089245,
|
657 |
+
"grad_norm": 3.889735460281372,
|
658 |
+
"learning_rate": 9.914250724385588e-05,
|
659 |
+
"loss": 3.413,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.2151029748283753,
|
664 |
+
"grad_norm": 2.6670336723327637,
|
665 |
+
"learning_rate": 9.910725598521013e-05,
|
666 |
+
"loss": 3.3243,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.21739130434782608,
|
671 |
+
"grad_norm": 3.1559407711029053,
|
672 |
+
"learning_rate": 9.907130118670207e-05,
|
673 |
+
"loss": 3.1358,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.21967963386727687,
|
678 |
+
"grad_norm": 3.0841243267059326,
|
679 |
+
"learning_rate": 9.90346433634416e-05,
|
680 |
+
"loss": 3.0006,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.2219679633867277,
|
685 |
+
"grad_norm": 3.750990867614746,
|
686 |
+
"learning_rate": 9.899728304061054e-05,
|
687 |
+
"loss": 2.9871,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.2242562929061785,
|
692 |
+
"grad_norm": 3.793957471847534,
|
693 |
+
"learning_rate": 9.89592207534552e-05,
|
694 |
+
"loss": 3.1504,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.22654462242562928,
|
699 |
+
"grad_norm": 2.926502227783203,
|
700 |
+
"learning_rate": 9.892045704727864e-05,
|
701 |
+
"loss": 3.0773,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.2288329519450801,
|
706 |
+
"grad_norm": 3.8088338375091553,
|
707 |
+
"learning_rate": 9.888099247743283e-05,
|
708 |
+
"loss": 3.0159,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.2311212814645309,
|
713 |
+
"grad_norm": 3.136817455291748,
|
714 |
+
"learning_rate": 9.884082760931078e-05,
|
715 |
+
"loss": 3.0799,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.2334096109839817,
|
720 |
+
"grad_norm": 3.4826202392578125,
|
721 |
+
"learning_rate": 9.879996301833833e-05,
|
722 |
+
"loss": 2.9949,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.23569794050343248,
|
727 |
+
"grad_norm": 2.8044424057006836,
|
728 |
+
"learning_rate": 9.875839928996605e-05,
|
729 |
+
"loss": 2.9263,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.2379862700228833,
|
734 |
+
"grad_norm": 3.0698440074920654,
|
735 |
+
"learning_rate": 9.871613701966067e-05,
|
736 |
+
"loss": 2.901,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.2402745995423341,
|
741 |
+
"grad_norm": 3.5167031288146973,
|
742 |
+
"learning_rate": 9.867317681289674e-05,
|
743 |
+
"loss": 2.8163,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.2425629290617849,
|
748 |
+
"grad_norm": 4.114626407623291,
|
749 |
+
"learning_rate": 9.862951928514782e-05,
|
750 |
+
"loss": 2.8116,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.2448512585812357,
|
755 |
+
"grad_norm": 3.7168688774108887,
|
756 |
+
"learning_rate": 9.858516506187769e-05,
|
757 |
+
"loss": 2.8926,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.2471395881006865,
|
762 |
+
"grad_norm": 4.157980442047119,
|
763 |
+
"learning_rate": 9.854011477853146e-05,
|
764 |
+
"loss": 3.0417,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.2494279176201373,
|
769 |
+
"grad_norm": 3.974653959274292,
|
770 |
+
"learning_rate": 9.849436908052636e-05,
|
771 |
+
"loss": 2.9427,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.2517162471395881,
|
776 |
+
"grad_norm": 3.3569509983062744,
|
777 |
+
"learning_rate": 9.844792862324258e-05,
|
778 |
+
"loss": 3.0074,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.2540045766590389,
|
783 |
+
"grad_norm": 3.318108081817627,
|
784 |
+
"learning_rate": 9.840079407201381e-05,
|
785 |
+
"loss": 2.9424,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.2562929061784897,
|
790 |
+
"grad_norm": 2.5115249156951904,
|
791 |
+
"learning_rate": 9.835296610211779e-05,
|
792 |
+
"loss": 2.8719,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.2585812356979405,
|
797 |
+
"grad_norm": 4.036254405975342,
|
798 |
+
"learning_rate": 9.830444539876655e-05,
|
799 |
+
"loss": 2.8323,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.2608695652173913,
|
804 |
+
"grad_norm": 2.956651210784912,
|
805 |
+
"learning_rate": 9.825523265709666e-05,
|
806 |
+
"loss": 2.8217,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.2631578947368421,
|
811 |
+
"grad_norm": 20.366439819335938,
|
812 |
+
"learning_rate": 9.820532858215924e-05,
|
813 |
+
"loss": 2.9269,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.2654462242562929,
|
818 |
+
"grad_norm": 5.692528247833252,
|
819 |
+
"learning_rate": 9.815473388890983e-05,
|
820 |
+
"loss": 2.9319,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.26773455377574373,
|
825 |
+
"grad_norm": 4.276037693023682,
|
826 |
+
"learning_rate": 9.810344930219824e-05,
|
827 |
+
"loss": 2.8439,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.2700228832951945,
|
832 |
+
"grad_norm": 5.107546806335449,
|
833 |
+
"learning_rate": 9.805147555675805e-05,
|
834 |
+
"loss": 2.8193,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.2723112128146453,
|
839 |
+
"grad_norm": 4.974969387054443,
|
840 |
+
"learning_rate": 9.799881339719615e-05,
|
841 |
+
"loss": 2.8969,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.2745995423340961,
|
846 |
+
"grad_norm": 2.5996475219726562,
|
847 |
+
"learning_rate": 9.794546357798208e-05,
|
848 |
+
"loss": 2.7867,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.2768878718535469,
|
853 |
+
"grad_norm": 5.79841947555542,
|
854 |
+
"learning_rate": 9.789142686343723e-05,
|
855 |
+
"loss": 2.9682,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.2791762013729977,
|
860 |
+
"grad_norm": 3.4821016788482666,
|
861 |
+
"learning_rate": 9.783670402772379e-05,
|
862 |
+
"loss": 2.8194,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.2814645308924485,
|
867 |
+
"grad_norm": 3.6274449825286865,
|
868 |
+
"learning_rate": 9.778129585483377e-05,
|
869 |
+
"loss": 2.9552,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.2837528604118993,
|
874 |
+
"grad_norm": 5.462944507598877,
|
875 |
+
"learning_rate": 9.772520313857775e-05,
|
876 |
+
"loss": 2.82,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.28604118993135014,
|
881 |
+
"grad_norm": 2.919630765914917,
|
882 |
+
"learning_rate": 9.766842668257348e-05,
|
883 |
+
"loss": 2.8958,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.28832951945080093,
|
888 |
+
"grad_norm": 4.07204008102417,
|
889 |
+
"learning_rate": 9.761096730023432e-05,
|
890 |
+
"loss": 2.6548,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.2906178489702517,
|
895 |
+
"grad_norm": 3.1327707767486572,
|
896 |
+
"learning_rate": 9.755282581475769e-05,
|
897 |
+
"loss": 2.7502,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.2929061784897025,
|
902 |
+
"grad_norm": 3.4713220596313477,
|
903 |
+
"learning_rate": 9.749400305911322e-05,
|
904 |
+
"loss": 2.8989,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.2951945080091533,
|
909 |
+
"grad_norm": 3.0974678993225098,
|
910 |
+
"learning_rate": 9.743449987603083e-05,
|
911 |
+
"loss": 2.7687,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.2974828375286041,
|
916 |
+
"grad_norm": 2.840522527694702,
|
917 |
+
"learning_rate": 9.737431711798864e-05,
|
918 |
+
"loss": 2.6381,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.2997711670480549,
|
923 |
+
"grad_norm": 3.248396635055542,
|
924 |
+
"learning_rate": 9.731345564720074e-05,
|
925 |
+
"loss": 2.803,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.30205949656750575,
|
930 |
+
"grad_norm": 2.489511251449585,
|
931 |
+
"learning_rate": 9.725191633560491e-05,
|
932 |
+
"loss": 2.7353,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.30434782608695654,
|
937 |
+
"grad_norm": 3.164222240447998,
|
938 |
+
"learning_rate": 9.718970006485006e-05,
|
939 |
+
"loss": 2.8043,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.30663615560640733,
|
944 |
+
"grad_norm": 2.9290547370910645,
|
945 |
+
"learning_rate": 9.712680772628364e-05,
|
946 |
+
"loss": 2.8801,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.30892448512585813,
|
951 |
+
"grad_norm": 2.126338243484497,
|
952 |
+
"learning_rate": 9.70632402209388e-05,
|
953 |
+
"loss": 2.6804,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.3112128146453089,
|
958 |
+
"grad_norm": 3.28828501701355,
|
959 |
+
"learning_rate": 9.69989984595216e-05,
|
960 |
+
"loss": 2.7758,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.3135011441647597,
|
965 |
+
"grad_norm": 2.5393142700195312,
|
966 |
+
"learning_rate": 9.693408336239783e-05,
|
967 |
+
"loss": 2.7694,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.3157894736842105,
|
972 |
+
"grad_norm": 2.971083641052246,
|
973 |
+
"learning_rate": 9.686849585957994e-05,
|
974 |
+
"loss": 2.8087,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.3180778032036613,
|
979 |
+
"grad_norm": 2.3476786613464355,
|
980 |
+
"learning_rate": 9.680223689071364e-05,
|
981 |
+
"loss": 2.6401,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.32036613272311215,
|
986 |
+
"grad_norm": 3.1489346027374268,
|
987 |
+
"learning_rate": 9.673530740506447e-05,
|
988 |
+
"loss": 2.6452,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.32265446224256294,
|
993 |
+
"grad_norm": 2.252417802810669,
|
994 |
+
"learning_rate": 9.666770836150421e-05,
|
995 |
+
"loss": 2.7393,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.32494279176201374,
|
1000 |
+
"grad_norm": 2.2149484157562256,
|
1001 |
+
"learning_rate": 9.659944072849707e-05,
|
1002 |
+
"loss": 2.6799,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.32723112128146453,
|
1007 |
+
"grad_norm": 2.29628849029541,
|
1008 |
+
"learning_rate": 9.653050548408593e-05,
|
1009 |
+
"loss": 2.7648,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.3295194508009153,
|
1014 |
+
"grad_norm": 2.487936019897461,
|
1015 |
+
"learning_rate": 9.646090361587827e-05,
|
1016 |
+
"loss": 2.7027,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.3318077803203661,
|
1021 |
+
"grad_norm": 2.9859704971313477,
|
1022 |
+
"learning_rate": 9.639063612103198e-05,
|
1023 |
+
"loss": 2.7749,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.3340961098398169,
|
1028 |
+
"grad_norm": 2.6007204055786133,
|
1029 |
+
"learning_rate": 9.631970400624113e-05,
|
1030 |
+
"loss": 2.7246,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.33638443935926776,
|
1035 |
+
"grad_norm": 33.11263656616211,
|
1036 |
+
"learning_rate": 9.624810828772155e-05,
|
1037 |
+
"loss": 2.7545,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.33867276887871856,
|
1042 |
+
"grad_norm": 3.515178918838501,
|
1043 |
+
"learning_rate": 9.617584999119625e-05,
|
1044 |
+
"loss": 2.732,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.34096109839816935,
|
1049 |
+
"grad_norm": 2.4641125202178955,
|
1050 |
+
"learning_rate": 9.610293015188067e-05,
|
1051 |
+
"loss": 2.5388,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.34324942791762014,
|
1056 |
+
"grad_norm": 3.40997314453125,
|
1057 |
+
"learning_rate": 9.602934981446803e-05,
|
1058 |
+
"loss": 2.7129,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.34553775743707094,
|
1063 |
+
"grad_norm": 2.843931198120117,
|
1064 |
+
"learning_rate": 9.59551100331141e-05,
|
1065 |
+
"loss": 2.5792,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.34782608695652173,
|
1070 |
+
"grad_norm": 3.463437795639038,
|
1071 |
+
"learning_rate": 9.588021187142235e-05,
|
1072 |
+
"loss": 2.7224,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.3501144164759725,
|
1077 |
+
"grad_norm": 3.4558653831481934,
|
1078 |
+
"learning_rate": 9.580465640242851e-05,
|
1079 |
+
"loss": 2.7847,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.3524027459954233,
|
1084 |
+
"grad_norm": 2.8027448654174805,
|
1085 |
+
"learning_rate": 9.572844470858537e-05,
|
1086 |
+
"loss": 2.636,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.35469107551487417,
|
1091 |
+
"grad_norm": 3.39350962638855,
|
1092 |
+
"learning_rate": 9.565157788174712e-05,
|
1093 |
+
"loss": 2.7577,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.35697940503432496,
|
1098 |
+
"grad_norm": 2.9632396697998047,
|
1099 |
+
"learning_rate": 9.557405702315381e-05,
|
1100 |
+
"loss": 2.6417,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.35926773455377575,
|
1105 |
+
"grad_norm": 2.825023889541626,
|
1106 |
+
"learning_rate": 9.549588324341555e-05,
|
1107 |
+
"loss": 2.5702,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.36155606407322655,
|
1112 |
+
"grad_norm": 3.1311004161834717,
|
1113 |
+
"learning_rate": 9.541705766249655e-05,
|
1114 |
+
"loss": 2.7682,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.36384439359267734,
|
1119 |
+
"grad_norm": 3.473098039627075,
|
1120 |
+
"learning_rate": 9.533758140969912e-05,
|
1121 |
+
"loss": 2.6545,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.36613272311212813,
|
1126 |
+
"grad_norm": 2.7823293209075928,
|
1127 |
+
"learning_rate": 9.525745562364756e-05,
|
1128 |
+
"loss": 2.6668,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.3684210526315789,
|
1133 |
+
"grad_norm": 2.742286205291748,
|
1134 |
+
"learning_rate": 9.517668145227167e-05,
|
1135 |
+
"loss": 2.7998,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.3707093821510298,
|
1140 |
+
"grad_norm": 4.77061653137207,
|
1141 |
+
"learning_rate": 9.509526005279044e-05,
|
1142 |
+
"loss": 2.789,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.37299771167048057,
|
1147 |
+
"grad_norm": 3.353771448135376,
|
1148 |
+
"learning_rate": 9.501319259169543e-05,
|
1149 |
+
"loss": 2.5644,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.37528604118993136,
|
1154 |
+
"grad_norm": 2.2853267192840576,
|
1155 |
+
"learning_rate": 9.493048024473412e-05,
|
1156 |
+
"loss": 2.6974,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.37757437070938216,
|
1161 |
+
"grad_norm": 3.146768569946289,
|
1162 |
+
"learning_rate": 9.484712419689292e-05,
|
1163 |
+
"loss": 2.568,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.37986270022883295,
|
1168 |
+
"grad_norm": 5.74379301071167,
|
1169 |
+
"learning_rate": 9.476312564238034e-05,
|
1170 |
+
"loss": 2.6581,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.38215102974828374,
|
1175 |
+
"grad_norm": 2.7834126949310303,
|
1176 |
+
"learning_rate": 9.467848578460985e-05,
|
1177 |
+
"loss": 2.6585,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.38443935926773454,
|
1182 |
+
"grad_norm": 4.0173139572143555,
|
1183 |
+
"learning_rate": 9.459320583618252e-05,
|
1184 |
+
"loss": 2.6218,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.38672768878718533,
|
1189 |
+
"grad_norm": 2.463062286376953,
|
1190 |
+
"learning_rate": 9.450728701886983e-05,
|
1191 |
+
"loss": 2.5853,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.3890160183066362,
|
1196 |
+
"grad_norm": 2.0359222888946533,
|
1197 |
+
"learning_rate": 9.442073056359604e-05,
|
1198 |
+
"loss": 2.4268,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.391304347826087,
|
1203 |
+
"grad_norm": 2.32696533203125,
|
1204 |
+
"learning_rate": 9.433353771042059e-05,
|
1205 |
+
"loss": 2.6057,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.39359267734553777,
|
1210 |
+
"grad_norm": 2.851733446121216,
|
1211 |
+
"learning_rate": 9.424570970852034e-05,
|
1212 |
+
"loss": 2.5317,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.39588100686498856,
|
1217 |
+
"grad_norm": 2.5211381912231445,
|
1218 |
+
"learning_rate": 9.415724781617165e-05,
|
1219 |
+
"loss": 2.577,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.39816933638443935,
|
1224 |
+
"grad_norm": 2.574113130569458,
|
1225 |
+
"learning_rate": 9.406815330073244e-05,
|
1226 |
+
"loss": 2.4746,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.40045766590389015,
|
1231 |
+
"grad_norm": 2.246934413909912,
|
1232 |
+
"learning_rate": 9.397842743862391e-05,
|
1233 |
+
"loss": 2.7172,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.40274599542334094,
|
1238 |
+
"grad_norm": 2.0411953926086426,
|
1239 |
+
"learning_rate": 9.388807151531229e-05,
|
1240 |
+
"loss": 2.3795,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.40503432494279173,
|
1245 |
+
"grad_norm": 2.0988056659698486,
|
1246 |
+
"learning_rate": 9.37970868252905e-05,
|
1247 |
+
"loss": 2.4858,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.4073226544622426,
|
1252 |
+
"grad_norm": 2.6199228763580322,
|
1253 |
+
"learning_rate": 9.37054746720595e-05,
|
1254 |
+
"loss": 2.5046,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.4096109839816934,
|
1259 |
+
"grad_norm": 2.879153251647949,
|
1260 |
+
"learning_rate": 9.36132363681097e-05,
|
1261 |
+
"loss": 2.5783,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.41189931350114417,
|
1266 |
+
"grad_norm": 2.188169002532959,
|
1267 |
+
"learning_rate": 9.352037323490208e-05,
|
1268 |
+
"loss": 2.5765,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.41418764302059496,
|
1273 |
+
"grad_norm": 2.8007380962371826,
|
1274 |
+
"learning_rate": 9.342688660284935e-05,
|
1275 |
+
"loss": 2.5559,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.41647597254004576,
|
1280 |
+
"grad_norm": 2.118467092514038,
|
1281 |
+
"learning_rate": 9.333277781129678e-05,
|
1282 |
+
"loss": 2.6657,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.41876430205949655,
|
1287 |
+
"grad_norm": 2.415208101272583,
|
1288 |
+
"learning_rate": 9.32380482085031e-05,
|
1289 |
+
"loss": 2.5692,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.42105263157894735,
|
1294 |
+
"grad_norm": 2.284472942352295,
|
1295 |
+
"learning_rate": 9.314269915162114e-05,
|
1296 |
+
"loss": 2.8171,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.4233409610983982,
|
1301 |
+
"grad_norm": 2.6300644874572754,
|
1302 |
+
"learning_rate": 9.304673200667842e-05,
|
1303 |
+
"loss": 2.5209,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.425629290617849,
|
1308 |
+
"grad_norm": 2.484619617462158,
|
1309 |
+
"learning_rate": 9.295014814855753e-05,
|
1310 |
+
"loss": 2.6103,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.4279176201372998,
|
1315 |
+
"grad_norm": 1.9404324293136597,
|
1316 |
+
"learning_rate": 9.285294896097649e-05,
|
1317 |
+
"loss": 2.6948,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.4302059496567506,
|
1322 |
+
"grad_norm": 5.251960754394531,
|
1323 |
+
"learning_rate": 9.275513583646884e-05,
|
1324 |
+
"loss": 2.5566,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.43249427917620137,
|
1329 |
+
"grad_norm": 3.4060168266296387,
|
1330 |
+
"learning_rate": 9.265671017636383e-05,
|
1331 |
+
"loss": 2.4573,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.43478260869565216,
|
1336 |
+
"grad_norm": 2.6057965755462646,
|
1337 |
+
"learning_rate": 9.255767339076622e-05,
|
1338 |
+
"loss": 2.578,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.43707093821510296,
|
1343 |
+
"grad_norm": 2.6781222820281982,
|
1344 |
+
"learning_rate": 9.24580268985361e-05,
|
1345 |
+
"loss": 2.6097,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.43935926773455375,
|
1350 |
+
"grad_norm": 2.630892038345337,
|
1351 |
+
"learning_rate": 9.23577721272686e-05,
|
1352 |
+
"loss": 2.4862,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.4416475972540046,
|
1357 |
+
"grad_norm": 2.559825897216797,
|
1358 |
+
"learning_rate": 9.225691051327341e-05,
|
1359 |
+
"loss": 2.4985,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.4439359267734554,
|
1364 |
+
"grad_norm": 2.574370861053467,
|
1365 |
+
"learning_rate": 9.215544350155422e-05,
|
1366 |
+
"loss": 2.5045,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.4462242562929062,
|
1371 |
+
"grad_norm": 2.611264944076538,
|
1372 |
+
"learning_rate": 9.205337254578804e-05,
|
1373 |
+
"loss": 2.5606,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.448512585812357,
|
1378 |
+
"grad_norm": 2.938662052154541,
|
1379 |
+
"learning_rate": 9.195069910830427e-05,
|
1380 |
+
"loss": 2.3961,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.45080091533180777,
|
1385 |
+
"grad_norm": 2.3292245864868164,
|
1386 |
+
"learning_rate": 9.184742466006389e-05,
|
1387 |
+
"loss": 2.3445,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.45308924485125857,
|
1392 |
+
"grad_norm": 3.314525604248047,
|
1393 |
+
"learning_rate": 9.174355068063828e-05,
|
1394 |
+
"loss": 2.3837,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.45537757437070936,
|
1399 |
+
"grad_norm": 2.9725730419158936,
|
1400 |
+
"learning_rate": 9.163907865818806e-05,
|
1401 |
+
"loss": 2.4219,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.4576659038901602,
|
1406 |
+
"grad_norm": 2.6355316638946533,
|
1407 |
+
"learning_rate": 9.15340100894418e-05,
|
1408 |
+
"loss": 2.5177,
|
1409 |
+
"step": 200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.459954233409611,
|
1413 |
+
"grad_norm": 2.6601266860961914,
|
1414 |
+
"learning_rate": 9.142834647967455e-05,
|
1415 |
+
"loss": 2.5016,
|
1416 |
+
"step": 201
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.4622425629290618,
|
1420 |
+
"grad_norm": 2.8524606227874756,
|
1421 |
+
"learning_rate": 9.132208934268622e-05,
|
1422 |
+
"loss": 2.6128,
|
1423 |
+
"step": 202
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.4645308924485126,
|
1427 |
+
"grad_norm": 2.9725794792175293,
|
1428 |
+
"learning_rate": 9.121524020078002e-05,
|
1429 |
+
"loss": 2.4071,
|
1430 |
+
"step": 203
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.4668192219679634,
|
1434 |
+
"grad_norm": 2.737095832824707,
|
1435 |
+
"learning_rate": 9.110780058474052e-05,
|
1436 |
+
"loss": 2.5999,
|
1437 |
+
"step": 204
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.4691075514874142,
|
1441 |
+
"grad_norm": 2.458143711090088,
|
1442 |
+
"learning_rate": 9.099977203381176e-05,
|
1443 |
+
"loss": 2.4793,
|
1444 |
+
"step": 205
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.47139588100686497,
|
1448 |
+
"grad_norm": 2.4118494987487793,
|
1449 |
+
"learning_rate": 9.08911560956753e-05,
|
1450 |
+
"loss": 2.5604,
|
1451 |
+
"step": 206
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.47368421052631576,
|
1455 |
+
"grad_norm": 2.5340561866760254,
|
1456 |
+
"learning_rate": 9.078195432642787e-05,
|
1457 |
+
"loss": 2.3189,
|
1458 |
+
"step": 207
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.4759725400457666,
|
1462 |
+
"grad_norm": 15.165704727172852,
|
1463 |
+
"learning_rate": 9.067216829055922e-05,
|
1464 |
+
"loss": 2.3839,
|
1465 |
+
"step": 208
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.4782608695652174,
|
1469 |
+
"grad_norm": 3.408928394317627,
|
1470 |
+
"learning_rate": 9.056179956092962e-05,
|
1471 |
+
"loss": 2.4059,
|
1472 |
+
"step": 209
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.4805491990846682,
|
1476 |
+
"grad_norm": 2.3760733604431152,
|
1477 |
+
"learning_rate": 9.045084971874738e-05,
|
1478 |
+
"loss": 2.4665,
|
1479 |
+
"step": 210
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.482837528604119,
|
1483 |
+
"grad_norm": 2.2348382472991943,
|
1484 |
+
"learning_rate": 9.033932035354616e-05,
|
1485 |
+
"loss": 2.5414,
|
1486 |
+
"step": 211
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.4851258581235698,
|
1490 |
+
"grad_norm": 2.8291633129119873,
|
1491 |
+
"learning_rate": 9.022721306316222e-05,
|
1492 |
+
"loss": 2.4842,
|
1493 |
+
"step": 212
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.4874141876430206,
|
1497 |
+
"grad_norm": 2.2343130111694336,
|
1498 |
+
"learning_rate": 9.011452945371153e-05,
|
1499 |
+
"loss": 2.2786,
|
1500 |
+
"step": 213
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.4897025171624714,
|
1504 |
+
"grad_norm": 2.3048455715179443,
|
1505 |
+
"learning_rate": 9.000127113956674e-05,
|
1506 |
+
"loss": 2.6093,
|
1507 |
+
"step": 214
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.4919908466819222,
|
1511 |
+
"grad_norm": 2.0562024116516113,
|
1512 |
+
"learning_rate": 8.988743974333405e-05,
|
1513 |
+
"loss": 2.746,
|
1514 |
+
"step": 215
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.494279176201373,
|
1518 |
+
"grad_norm": 2.252657651901245,
|
1519 |
+
"learning_rate": 8.977303689583e-05,
|
1520 |
+
"loss": 2.3817,
|
1521 |
+
"step": 216
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.4965675057208238,
|
1525 |
+
"grad_norm": 2.080920696258545,
|
1526 |
+
"learning_rate": 8.965806423605807e-05,
|
1527 |
+
"loss": 2.3491,
|
1528 |
+
"step": 217
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.4988558352402746,
|
1532 |
+
"grad_norm": 2.2473278045654297,
|
1533 |
+
"learning_rate": 8.954252341118523e-05,
|
1534 |
+
"loss": 2.3824,
|
1535 |
+
"step": 218
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.5011441647597255,
|
1539 |
+
"grad_norm": 1.9687806367874146,
|
1540 |
+
"learning_rate": 8.94264160765183e-05,
|
1541 |
+
"loss": 2.3748,
|
1542 |
+
"step": 219
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.5034324942791762,
|
1546 |
+
"grad_norm": 6.516245365142822,
|
1547 |
+
"learning_rate": 8.930974389548023e-05,
|
1548 |
+
"loss": 2.3854,
|
1549 |
+
"step": 220
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.505720823798627,
|
1553 |
+
"grad_norm": 2.8898024559020996,
|
1554 |
+
"learning_rate": 8.919250853958639e-05,
|
1555 |
+
"loss": 2.4238,
|
1556 |
+
"step": 221
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.5080091533180778,
|
1560 |
+
"grad_norm": 2.3418991565704346,
|
1561 |
+
"learning_rate": 8.90747116884204e-05,
|
1562 |
+
"loss": 2.3012,
|
1563 |
+
"step": 222
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.5102974828375286,
|
1567 |
+
"grad_norm": 1.9986119270324707,
|
1568 |
+
"learning_rate": 8.895635502961033e-05,
|
1569 |
+
"loss": 2.3529,
|
1570 |
+
"step": 223
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.5125858123569794,
|
1574 |
+
"grad_norm": 2.4174418449401855,
|
1575 |
+
"learning_rate": 8.883744025880428e-05,
|
1576 |
+
"loss": 2.4234,
|
1577 |
+
"step": 224
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.5148741418764302,
|
1581 |
+
"grad_norm": 3.099142074584961,
|
1582 |
+
"learning_rate": 8.871796907964625e-05,
|
1583 |
+
"loss": 2.4744,
|
1584 |
+
"step": 225
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.517162471395881,
|
1588 |
+
"grad_norm": 2.573162317276001,
|
1589 |
+
"learning_rate": 8.859794320375168e-05,
|
1590 |
+
"loss": 2.4386,
|
1591 |
+
"step": 226
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.5194508009153318,
|
1595 |
+
"grad_norm": 2.158879518508911,
|
1596 |
+
"learning_rate": 8.847736435068288e-05,
|
1597 |
+
"loss": 2.453,
|
1598 |
+
"step": 227
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.5217391304347826,
|
1602 |
+
"grad_norm": 2.082505941390991,
|
1603 |
+
"learning_rate": 8.835623424792452e-05,
|
1604 |
+
"loss": 2.3861,
|
1605 |
+
"step": 228
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.5240274599542334,
|
1609 |
+
"grad_norm": 2.180189847946167,
|
1610 |
+
"learning_rate": 8.823455463085873e-05,
|
1611 |
+
"loss": 2.3747,
|
1612 |
+
"step": 229
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.5263157894736842,
|
1616 |
+
"grad_norm": 2.4317615032196045,
|
1617 |
+
"learning_rate": 8.811232724274035e-05,
|
1618 |
+
"loss": 2.4164,
|
1619 |
+
"step": 230
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.528604118993135,
|
1623 |
+
"grad_norm": 2.0874435901641846,
|
1624 |
+
"learning_rate": 8.798955383467189e-05,
|
1625 |
+
"loss": 2.3647,
|
1626 |
+
"step": 231
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.5308924485125858,
|
1630 |
+
"grad_norm": 2.1150388717651367,
|
1631 |
+
"learning_rate": 8.786623616557847e-05,
|
1632 |
+
"loss": 2.3115,
|
1633 |
+
"step": 232
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.5331807780320366,
|
1637 |
+
"grad_norm": 2.2048499584198,
|
1638 |
+
"learning_rate": 8.774237600218266e-05,
|
1639 |
+
"loss": 2.5097,
|
1640 |
+
"step": 233
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.5354691075514875,
|
1644 |
+
"grad_norm": 2.2788608074188232,
|
1645 |
+
"learning_rate": 8.761797511897906e-05,
|
1646 |
+
"loss": 2.2931,
|
1647 |
+
"step": 234
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.5377574370709383,
|
1651 |
+
"grad_norm": 2.0588808059692383,
|
1652 |
+
"learning_rate": 8.749303529820903e-05,
|
1653 |
+
"loss": 2.4971,
|
1654 |
+
"step": 235
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.540045766590389,
|
1658 |
+
"grad_norm": 2.104788303375244,
|
1659 |
+
"learning_rate": 8.736755832983497e-05,
|
1660 |
+
"loss": 2.3433,
|
1661 |
+
"step": 236
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.5423340961098398,
|
1665 |
+
"grad_norm": 1.8593131303787231,
|
1666 |
+
"learning_rate": 8.724154601151484e-05,
|
1667 |
+
"loss": 2.285,
|
1668 |
+
"step": 237
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.5446224256292906,
|
1672 |
+
"grad_norm": 1.9205878973007202,
|
1673 |
+
"learning_rate": 8.711500014857634e-05,
|
1674 |
+
"loss": 2.1847,
|
1675 |
+
"step": 238
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.5469107551487414,
|
1679 |
+
"grad_norm": 2.350421905517578,
|
1680 |
+
"learning_rate": 8.698792255399104e-05,
|
1681 |
+
"loss": 2.3161,
|
1682 |
+
"step": 239
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.5491990846681922,
|
1686 |
+
"grad_norm": 2.14412784576416,
|
1687 |
+
"learning_rate": 8.686031504834843e-05,
|
1688 |
+
"loss": 2.2517,
|
1689 |
+
"step": 240
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.551487414187643,
|
1693 |
+
"grad_norm": 1.8842304944992065,
|
1694 |
+
"learning_rate": 8.673217945982978e-05,
|
1695 |
+
"loss": 2.36,
|
1696 |
+
"step": 241
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.5537757437070938,
|
1700 |
+
"grad_norm": 1.9713618755340576,
|
1701 |
+
"learning_rate": 8.660351762418203e-05,
|
1702 |
+
"loss": 2.194,
|
1703 |
+
"step": 242
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.5560640732265446,
|
1707 |
+
"grad_norm": 1.9737403392791748,
|
1708 |
+
"learning_rate": 8.647433138469144e-05,
|
1709 |
+
"loss": 2.4538,
|
1710 |
+
"step": 243
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.5583524027459954,
|
1714 |
+
"grad_norm": 2.11395525932312,
|
1715 |
+
"learning_rate": 8.634462259215719e-05,
|
1716 |
+
"loss": 2.4534,
|
1717 |
+
"step": 244
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.5606407322654462,
|
1721 |
+
"grad_norm": 2.621248245239258,
|
1722 |
+
"learning_rate": 8.621439310486486e-05,
|
1723 |
+
"loss": 2.5009,
|
1724 |
+
"step": 245
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.562929061784897,
|
1728 |
+
"grad_norm": 2.1076266765594482,
|
1729 |
+
"learning_rate": 8.608364478855983e-05,
|
1730 |
+
"loss": 2.2991,
|
1731 |
+
"step": 246
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.5652173913043478,
|
1735 |
+
"grad_norm": 2.0468740463256836,
|
1736 |
+
"learning_rate": 8.595237951642055e-05,
|
1737 |
+
"loss": 2.4584,
|
1738 |
+
"step": 247
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.5675057208237986,
|
1742 |
+
"grad_norm": 2.757575750350952,
|
1743 |
+
"learning_rate": 8.58205991690316e-05,
|
1744 |
+
"loss": 2.3874,
|
1745 |
+
"step": 248
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.5697940503432495,
|
1749 |
+
"grad_norm": 2.700618267059326,
|
1750 |
+
"learning_rate": 8.568830563435694e-05,
|
1751 |
+
"loss": 2.2581,
|
1752 |
+
"step": 249
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.5720823798627003,
|
1756 |
+
"grad_norm": 2.136777400970459,
|
1757 |
+
"learning_rate": 8.555550080771273e-05,
|
1758 |
+
"loss": 2.3313,
|
1759 |
+
"step": 250
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.5743707093821511,
|
1763 |
+
"grad_norm": 2.2393014430999756,
|
1764 |
+
"learning_rate": 8.542218659174017e-05,
|
1765 |
+
"loss": 2.3745,
|
1766 |
+
"step": 251
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.5766590389016019,
|
1770 |
+
"grad_norm": 1.9977840185165405,
|
1771 |
+
"learning_rate": 8.528836489637828e-05,
|
1772 |
+
"loss": 2.4189,
|
1773 |
+
"step": 252
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.5789473684210527,
|
1777 |
+
"grad_norm": 1.8844605684280396,
|
1778 |
+
"learning_rate": 8.515403763883659e-05,
|
1779 |
+
"loss": 2.2503,
|
1780 |
+
"step": 253
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.5812356979405034,
|
1784 |
+
"grad_norm": 2.225182056427002,
|
1785 |
+
"learning_rate": 8.501920674356754e-05,
|
1786 |
+
"loss": 2.3373,
|
1787 |
+
"step": 254
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.5835240274599542,
|
1791 |
+
"grad_norm": 3.804654598236084,
|
1792 |
+
"learning_rate": 8.488387414223904e-05,
|
1793 |
+
"loss": 2.4731,
|
1794 |
+
"step": 255
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.585812356979405,
|
1798 |
+
"grad_norm": 2.7391419410705566,
|
1799 |
+
"learning_rate": 8.47480417737067e-05,
|
1800 |
+
"loss": 2.3385,
|
1801 |
+
"step": 256
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.5881006864988558,
|
1805 |
+
"grad_norm": 1.8760191202163696,
|
1806 |
+
"learning_rate": 8.461171158398612e-05,
|
1807 |
+
"loss": 2.2315,
|
1808 |
+
"step": 257
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.5903890160183066,
|
1812 |
+
"grad_norm": 2.5383033752441406,
|
1813 |
+
"learning_rate": 8.447488552622498e-05,
|
1814 |
+
"loss": 2.2305,
|
1815 |
+
"step": 258
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.5926773455377574,
|
1819 |
+
"grad_norm": 2.4613940715789795,
|
1820 |
+
"learning_rate": 8.433756556067506e-05,
|
1821 |
+
"loss": 2.3998,
|
1822 |
+
"step": 259
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.5949656750572082,
|
1826 |
+
"grad_norm": 2.1040103435516357,
|
1827 |
+
"learning_rate": 8.419975365466415e-05,
|
1828 |
+
"loss": 2.4298,
|
1829 |
+
"step": 260
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.597254004576659,
|
1833 |
+
"grad_norm": 2.3999195098876953,
|
1834 |
+
"learning_rate": 8.406145178256788e-05,
|
1835 |
+
"loss": 2.3064,
|
1836 |
+
"step": 261
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.5995423340961098,
|
1840 |
+
"grad_norm": 2.633197069168091,
|
1841 |
+
"learning_rate": 8.392266192578143e-05,
|
1842 |
+
"loss": 2.4663,
|
1843 |
+
"step": 262
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.6018306636155606,
|
1847 |
+
"grad_norm": 2.4251699447631836,
|
1848 |
+
"learning_rate": 8.37833860726911e-05,
|
1849 |
+
"loss": 2.3587,
|
1850 |
+
"step": 263
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.6041189931350115,
|
1854 |
+
"grad_norm": 1.8132442235946655,
|
1855 |
+
"learning_rate": 8.364362621864595e-05,
|
1856 |
+
"loss": 2.3555,
|
1857 |
+
"step": 264
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.6064073226544623,
|
1861 |
+
"grad_norm": 2.6563608646392822,
|
1862 |
+
"learning_rate": 8.350338436592905e-05,
|
1863 |
+
"loss": 2.2702,
|
1864 |
+
"step": 265
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.6086956521739131,
|
1868 |
+
"grad_norm": 2.4801723957061768,
|
1869 |
+
"learning_rate": 8.336266252372889e-05,
|
1870 |
+
"loss": 2.266,
|
1871 |
+
"step": 266
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.6109839816933639,
|
1875 |
+
"grad_norm": 2.3440706729888916,
|
1876 |
+
"learning_rate": 8.322146270811059e-05,
|
1877 |
+
"loss": 2.3181,
|
1878 |
+
"step": 267
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 0.6132723112128147,
|
1882 |
+
"grad_norm": 2.256977081298828,
|
1883 |
+
"learning_rate": 8.307978694198699e-05,
|
1884 |
+
"loss": 2.2594,
|
1885 |
+
"step": 268
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.6155606407322655,
|
1889 |
+
"grad_norm": 2.4283649921417236,
|
1890 |
+
"learning_rate": 8.293763725508969e-05,
|
1891 |
+
"loss": 2.171,
|
1892 |
+
"step": 269
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.6178489702517163,
|
1896 |
+
"grad_norm": 1.9902546405792236,
|
1897 |
+
"learning_rate": 8.279501568393994e-05,
|
1898 |
+
"loss": 2.3791,
|
1899 |
+
"step": 270
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.620137299771167,
|
1903 |
+
"grad_norm": 2.388878583908081,
|
1904 |
+
"learning_rate": 8.265192427181954e-05,
|
1905 |
+
"loss": 2.2571,
|
1906 |
+
"step": 271
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 0.6224256292906178,
|
1910 |
+
"grad_norm": 2.6152727603912354,
|
1911 |
+
"learning_rate": 8.250836506874142e-05,
|
1912 |
+
"loss": 2.3477,
|
1913 |
+
"step": 272
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.6247139588100686,
|
1917 |
+
"grad_norm": 1.8113371133804321,
|
1918 |
+
"learning_rate": 8.236434013142045e-05,
|
1919 |
+
"loss": 2.1395,
|
1920 |
+
"step": 273
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 0.6270022883295194,
|
1924 |
+
"grad_norm": 9.44183349609375,
|
1925 |
+
"learning_rate": 8.221985152324385e-05,
|
1926 |
+
"loss": 2.4124,
|
1927 |
+
"step": 274
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 0.6292906178489702,
|
1931 |
+
"grad_norm": 2.5722267627716064,
|
1932 |
+
"learning_rate": 8.207490131424167e-05,
|
1933 |
+
"loss": 2.3806,
|
1934 |
+
"step": 275
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.631578947368421,
|
1938 |
+
"grad_norm": 2.5060784816741943,
|
1939 |
+
"learning_rate": 8.192949158105713e-05,
|
1940 |
+
"loss": 2.4453,
|
1941 |
+
"step": 276
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.6338672768878718,
|
1945 |
+
"grad_norm": 1.9694451093673706,
|
1946 |
+
"learning_rate": 8.178362440691685e-05,
|
1947 |
+
"loss": 2.2709,
|
1948 |
+
"step": 277
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 0.6361556064073226,
|
1952 |
+
"grad_norm": 2.1653637886047363,
|
1953 |
+
"learning_rate": 8.163730188160105e-05,
|
1954 |
+
"loss": 2.2756,
|
1955 |
+
"step": 278
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.6384439359267735,
|
1959 |
+
"grad_norm": 2.000991106033325,
|
1960 |
+
"learning_rate": 8.149052610141357e-05,
|
1961 |
+
"loss": 2.3256,
|
1962 |
+
"step": 279
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 0.6407322654462243,
|
1966 |
+
"grad_norm": 1.9745527505874634,
|
1967 |
+
"learning_rate": 8.134329916915184e-05,
|
1968 |
+
"loss": 2.1619,
|
1969 |
+
"step": 280
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.6430205949656751,
|
1973 |
+
"grad_norm": 1.7634015083312988,
|
1974 |
+
"learning_rate": 8.119562319407679e-05,
|
1975 |
+
"loss": 2.3815,
|
1976 |
+
"step": 281
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.6453089244851259,
|
1980 |
+
"grad_norm": 2.338313341140747,
|
1981 |
+
"learning_rate": 8.104750029188257e-05,
|
1982 |
+
"loss": 2.2965,
|
1983 |
+
"step": 282
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.6475972540045767,
|
1987 |
+
"grad_norm": 5.942075729370117,
|
1988 |
+
"learning_rate": 8.089893258466632e-05,
|
1989 |
+
"loss": 2.2091,
|
1990 |
+
"step": 283
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 0.6498855835240275,
|
1994 |
+
"grad_norm": 2.5060672760009766,
|
1995 |
+
"learning_rate": 8.074992220089769e-05,
|
1996 |
+
"loss": 2.4674,
|
1997 |
+
"step": 284
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.6521739130434783,
|
2001 |
+
"grad_norm": 2.6582159996032715,
|
2002 |
+
"learning_rate": 8.060047127538835e-05,
|
2003 |
+
"loss": 2.3614,
|
2004 |
+
"step": 285
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.6544622425629291,
|
2008 |
+
"grad_norm": 2.005200147628784,
|
2009 |
+
"learning_rate": 8.045058194926153e-05,
|
2010 |
+
"loss": 2.2056,
|
2011 |
+
"step": 286
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.6567505720823799,
|
2015 |
+
"grad_norm": 2.410688877105713,
|
2016 |
+
"learning_rate": 8.030025636992113e-05,
|
2017 |
+
"loss": 2.2247,
|
2018 |
+
"step": 287
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.6590389016018307,
|
2022 |
+
"grad_norm": 1.9305633306503296,
|
2023 |
+
"learning_rate": 8.014949669102117e-05,
|
2024 |
+
"loss": 2.0635,
|
2025 |
+
"step": 288
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.6613272311212814,
|
2029 |
+
"grad_norm": 2.0201923847198486,
|
2030 |
+
"learning_rate": 7.999830507243478e-05,
|
2031 |
+
"loss": 2.1299,
|
2032 |
+
"step": 289
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 0.6636155606407322,
|
2036 |
+
"grad_norm": 1.8325549364089966,
|
2037 |
+
"learning_rate": 7.984668368022335e-05,
|
2038 |
+
"loss": 2.1106,
|
2039 |
+
"step": 290
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.665903890160183,
|
2043 |
+
"grad_norm": 2.2241806983947754,
|
2044 |
+
"learning_rate": 7.969463468660545e-05,
|
2045 |
+
"loss": 2.2576,
|
2046 |
+
"step": 291
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 0.6681922196796338,
|
2050 |
+
"grad_norm": 2.101597547531128,
|
2051 |
+
"learning_rate": 7.954216026992571e-05,
|
2052 |
+
"loss": 2.3561,
|
2053 |
+
"step": 292
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.6704805491990846,
|
2057 |
+
"grad_norm": 2.0303845405578613,
|
2058 |
+
"learning_rate": 7.938926261462366e-05,
|
2059 |
+
"loss": 2.1977,
|
2060 |
+
"step": 293
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.6727688787185355,
|
2064 |
+
"grad_norm": 2.016955852508545,
|
2065 |
+
"learning_rate": 7.923594391120236e-05,
|
2066 |
+
"loss": 2.3022,
|
2067 |
+
"step": 294
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.6750572082379863,
|
2071 |
+
"grad_norm": 1.99684476852417,
|
2072 |
+
"learning_rate": 7.908220635619708e-05,
|
2073 |
+
"loss": 2.1994,
|
2074 |
+
"step": 295
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 0.6773455377574371,
|
2078 |
+
"grad_norm": 2.2181754112243652,
|
2079 |
+
"learning_rate": 7.892805215214381e-05,
|
2080 |
+
"loss": 2.2126,
|
2081 |
+
"step": 296
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.6796338672768879,
|
2085 |
+
"grad_norm": 2.0173442363739014,
|
2086 |
+
"learning_rate": 7.877348350754767e-05,
|
2087 |
+
"loss": 2.2134,
|
2088 |
+
"step": 297
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 0.6819221967963387,
|
2092 |
+
"grad_norm": 1.8784480094909668,
|
2093 |
+
"learning_rate": 7.861850263685134e-05,
|
2094 |
+
"loss": 2.3381,
|
2095 |
+
"step": 298
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.6842105263157895,
|
2099 |
+
"grad_norm": 2.2438318729400635,
|
2100 |
+
"learning_rate": 7.846311176040331e-05,
|
2101 |
+
"loss": 2.3408,
|
2102 |
+
"step": 299
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.6864988558352403,
|
2106 |
+
"grad_norm": 2.977372884750366,
|
2107 |
+
"learning_rate": 7.830731310442599e-05,
|
2108 |
+
"loss": 2.2358,
|
2109 |
+
"step": 300
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.6887871853546911,
|
2113 |
+
"grad_norm": 2.1407394409179688,
|
2114 |
+
"learning_rate": 7.815110890098397e-05,
|
2115 |
+
"loss": 2.2125,
|
2116 |
+
"step": 301
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 0.6910755148741419,
|
2120 |
+
"grad_norm": 1.6845601797103882,
|
2121 |
+
"learning_rate": 7.799450138795185e-05,
|
2122 |
+
"loss": 2.0579,
|
2123 |
+
"step": 302
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 0.6933638443935927,
|
2127 |
+
"grad_norm": 1.834087610244751,
|
2128 |
+
"learning_rate": 7.78374928089824e-05,
|
2129 |
+
"loss": 2.3022,
|
2130 |
+
"step": 303
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 0.6956521739130435,
|
2134 |
+
"grad_norm": 1.8871235847473145,
|
2135 |
+
"learning_rate": 7.768008541347423e-05,
|
2136 |
+
"loss": 2.2783,
|
2137 |
+
"step": 304
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 0.6979405034324943,
|
2141 |
+
"grad_norm": 1.9850207567214966,
|
2142 |
+
"learning_rate": 7.752228145653964e-05,
|
2143 |
+
"loss": 2.3613,
|
2144 |
+
"step": 305
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.700228832951945,
|
2148 |
+
"grad_norm": 1.9508417844772339,
|
2149 |
+
"learning_rate": 7.73640831989723e-05,
|
2150 |
+
"loss": 2.3295,
|
2151 |
+
"step": 306
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.7025171624713958,
|
2155 |
+
"grad_norm": 2.0530943870544434,
|
2156 |
+
"learning_rate": 7.72054929072149e-05,
|
2157 |
+
"loss": 2.2485,
|
2158 |
+
"step": 307
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 0.7048054919908466,
|
2162 |
+
"grad_norm": 2.0443074703216553,
|
2163 |
+
"learning_rate": 7.704651285332663e-05,
|
2164 |
+
"loss": 2.1668,
|
2165 |
+
"step": 308
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 0.7070938215102975,
|
2169 |
+
"grad_norm": 2.0727176666259766,
|
2170 |
+
"learning_rate": 7.688714531495061e-05,
|
2171 |
+
"loss": 2.1517,
|
2172 |
+
"step": 309
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 0.7093821510297483,
|
2176 |
+
"grad_norm": 2.033459186553955,
|
2177 |
+
"learning_rate": 7.672739257528134e-05,
|
2178 |
+
"loss": 2.2783,
|
2179 |
+
"step": 310
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 0.7116704805491991,
|
2183 |
+
"grad_norm": 2.2704668045043945,
|
2184 |
+
"learning_rate": 7.656725692303195e-05,
|
2185 |
+
"loss": 2.3378,
|
2186 |
+
"step": 311
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.7139588100686499,
|
2190 |
+
"grad_norm": 2.021702766418457,
|
2191 |
+
"learning_rate": 7.640674065240136e-05,
|
2192 |
+
"loss": 2.1894,
|
2193 |
+
"step": 312
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.7162471395881007,
|
2197 |
+
"grad_norm": 2.0539019107818604,
|
2198 |
+
"learning_rate": 7.624584606304147e-05,
|
2199 |
+
"loss": 2.2705,
|
2200 |
+
"step": 313
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 0.7185354691075515,
|
2204 |
+
"grad_norm": 1.6023483276367188,
|
2205 |
+
"learning_rate": 7.608457546002424e-05,
|
2206 |
+
"loss": 2.1957,
|
2207 |
+
"step": 314
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 0.7208237986270023,
|
2211 |
+
"grad_norm": 1.9021177291870117,
|
2212 |
+
"learning_rate": 7.592293115380855e-05,
|
2213 |
+
"loss": 2.1939,
|
2214 |
+
"step": 315
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 0.7231121281464531,
|
2218 |
+
"grad_norm": 1.7106837034225464,
|
2219 |
+
"learning_rate": 7.576091546020725e-05,
|
2220 |
+
"loss": 2.1383,
|
2221 |
+
"step": 316
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 0.7254004576659039,
|
2225 |
+
"grad_norm": 2.3384652137756348,
|
2226 |
+
"learning_rate": 7.559853070035389e-05,
|
2227 |
+
"loss": 2.1954,
|
2228 |
+
"step": 317
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 0.7276887871853547,
|
2232 |
+
"grad_norm": 2.0455210208892822,
|
2233 |
+
"learning_rate": 7.543577920066944e-05,
|
2234 |
+
"loss": 2.2671,
|
2235 |
+
"step": 318
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 0.7299771167048055,
|
2239 |
+
"grad_norm": 2.6084513664245605,
|
2240 |
+
"learning_rate": 7.527266329282905e-05,
|
2241 |
+
"loss": 2.1935,
|
2242 |
+
"step": 319
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 0.7322654462242563,
|
2246 |
+
"grad_norm": 1.9567663669586182,
|
2247 |
+
"learning_rate": 7.510918531372857e-05,
|
2248 |
+
"loss": 2.3201,
|
2249 |
+
"step": 320
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 0.7345537757437071,
|
2253 |
+
"grad_norm": 2.3495213985443115,
|
2254 |
+
"learning_rate": 7.494534760545113e-05,
|
2255 |
+
"loss": 2.2716,
|
2256 |
+
"step": 321
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 0.7368421052631579,
|
2260 |
+
"grad_norm": 2.139066696166992,
|
2261 |
+
"learning_rate": 7.478115251523352e-05,
|
2262 |
+
"loss": 2.3472,
|
2263 |
+
"step": 322
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 0.7391304347826086,
|
2267 |
+
"grad_norm": 1.9608685970306396,
|
2268 |
+
"learning_rate": 7.461660239543261e-05,
|
2269 |
+
"loss": 2.2516,
|
2270 |
+
"step": 323
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 0.7414187643020596,
|
2274 |
+
"grad_norm": 1.9583091735839844,
|
2275 |
+
"learning_rate": 7.445169960349167e-05,
|
2276 |
+
"loss": 2.0278,
|
2277 |
+
"step": 324
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.7437070938215103,
|
2281 |
+
"grad_norm": 1.9751293659210205,
|
2282 |
+
"learning_rate": 7.42864465019065e-05,
|
2283 |
+
"loss": 2.111,
|
2284 |
+
"step": 325
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 0.7459954233409611,
|
2288 |
+
"grad_norm": 1.8538637161254883,
|
2289 |
+
"learning_rate": 7.412084545819168e-05,
|
2290 |
+
"loss": 2.3414,
|
2291 |
+
"step": 326
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 0.7482837528604119,
|
2295 |
+
"grad_norm": 2.0090718269348145,
|
2296 |
+
"learning_rate": 7.395489884484665e-05,
|
2297 |
+
"loss": 2.3156,
|
2298 |
+
"step": 327
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 0.7505720823798627,
|
2302 |
+
"grad_norm": 1.8915284872055054,
|
2303 |
+
"learning_rate": 7.378860903932159e-05,
|
2304 |
+
"loss": 2.2654,
|
2305 |
+
"step": 328
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 0.7528604118993135,
|
2309 |
+
"grad_norm": 1.6930265426635742,
|
2310 |
+
"learning_rate": 7.362197842398355e-05,
|
2311 |
+
"loss": 2.0445,
|
2312 |
+
"step": 329
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 0.7551487414187643,
|
2316 |
+
"grad_norm": 1.9732853174209595,
|
2317 |
+
"learning_rate": 7.34550093860822e-05,
|
2318 |
+
"loss": 2.2913,
|
2319 |
+
"step": 330
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 0.7574370709382151,
|
2323 |
+
"grad_norm": 1.865723967552185,
|
2324 |
+
"learning_rate": 7.32877043177156e-05,
|
2325 |
+
"loss": 2.0363,
|
2326 |
+
"step": 331
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 0.7597254004576659,
|
2330 |
+
"grad_norm": 2.0198216438293457,
|
2331 |
+
"learning_rate": 7.31200656157961e-05,
|
2332 |
+
"loss": 2.1827,
|
2333 |
+
"step": 332
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 0.7620137299771167,
|
2337 |
+
"grad_norm": 1.8572312593460083,
|
2338 |
+
"learning_rate": 7.295209568201574e-05,
|
2339 |
+
"loss": 2.3125,
|
2340 |
+
"step": 333
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 0.7643020594965675,
|
2344 |
+
"grad_norm": 1.9783533811569214,
|
2345 |
+
"learning_rate": 7.278379692281208e-05,
|
2346 |
+
"loss": 2.0752,
|
2347 |
+
"step": 334
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 0.7665903890160183,
|
2351 |
+
"grad_norm": 1.9235711097717285,
|
2352 |
+
"learning_rate": 7.261517174933362e-05,
|
2353 |
+
"loss": 2.2604,
|
2354 |
+
"step": 335
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 0.7688787185354691,
|
2358 |
+
"grad_norm": 1.8910268545150757,
|
2359 |
+
"learning_rate": 7.244622257740523e-05,
|
2360 |
+
"loss": 2.5354,
|
2361 |
+
"step": 336
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 0.7711670480549199,
|
2365 |
+
"grad_norm": 1.8306984901428223,
|
2366 |
+
"learning_rate": 7.227695182749361e-05,
|
2367 |
+
"loss": 2.3317,
|
2368 |
+
"step": 337
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 0.7734553775743707,
|
2372 |
+
"grad_norm": 1.7641491889953613,
|
2373 |
+
"learning_rate": 7.210736192467256e-05,
|
2374 |
+
"loss": 2.1461,
|
2375 |
+
"step": 338
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 0.7757437070938215,
|
2379 |
+
"grad_norm": 2.0800931453704834,
|
2380 |
+
"learning_rate": 7.193745529858826e-05,
|
2381 |
+
"loss": 2.3707,
|
2382 |
+
"step": 339
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 0.7780320366132724,
|
2386 |
+
"grad_norm": 2.155435800552368,
|
2387 |
+
"learning_rate": 7.176723438342446e-05,
|
2388 |
+
"loss": 2.3194,
|
2389 |
+
"step": 340
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 0.7803203661327232,
|
2393 |
+
"grad_norm": 1.8292967081069946,
|
2394 |
+
"learning_rate": 7.159670161786759e-05,
|
2395 |
+
"loss": 2.2795,
|
2396 |
+
"step": 341
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 0.782608695652174,
|
2400 |
+
"grad_norm": 2.0984854698181152,
|
2401 |
+
"learning_rate": 7.142585944507185e-05,
|
2402 |
+
"loss": 2.2426,
|
2403 |
+
"step": 342
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 0.7848970251716247,
|
2407 |
+
"grad_norm": 2.123730421066284,
|
2408 |
+
"learning_rate": 7.125471031262417e-05,
|
2409 |
+
"loss": 2.0311,
|
2410 |
+
"step": 343
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 0.7871853546910755,
|
2414 |
+
"grad_norm": 2.2667717933654785,
|
2415 |
+
"learning_rate": 7.10832566725092e-05,
|
2416 |
+
"loss": 2.1289,
|
2417 |
+
"step": 344
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 0.7894736842105263,
|
2421 |
+
"grad_norm": 1.7086976766586304,
|
2422 |
+
"learning_rate": 7.091150098107414e-05,
|
2423 |
+
"loss": 2.4501,
|
2424 |
+
"step": 345
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 0.7917620137299771,
|
2428 |
+
"grad_norm": 2.096912384033203,
|
2429 |
+
"learning_rate": 7.073944569899354e-05,
|
2430 |
+
"loss": 2.2119,
|
2431 |
+
"step": 346
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 0.7940503432494279,
|
2435 |
+
"grad_norm": 1.7574291229248047,
|
2436 |
+
"learning_rate": 7.056709329123408e-05,
|
2437 |
+
"loss": 2.2372,
|
2438 |
+
"step": 347
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 0.7963386727688787,
|
2442 |
+
"grad_norm": 1.718612790107727,
|
2443 |
+
"learning_rate": 7.039444622701922e-05,
|
2444 |
+
"loss": 2.2722,
|
2445 |
+
"step": 348
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 0.7986270022883295,
|
2449 |
+
"grad_norm": 2.0621182918548584,
|
2450 |
+
"learning_rate": 7.022150697979384e-05,
|
2451 |
+
"loss": 1.9942,
|
2452 |
+
"step": 349
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 0.8009153318077803,
|
2456 |
+
"grad_norm": 2.8785934448242188,
|
2457 |
+
"learning_rate": 7.00482780271889e-05,
|
2458 |
+
"loss": 2.2271,
|
2459 |
+
"step": 350
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 0.8032036613272311,
|
2463 |
+
"grad_norm": 1.8720818758010864,
|
2464 |
+
"learning_rate": 6.98747618509857e-05,
|
2465 |
+
"loss": 2.1045,
|
2466 |
+
"step": 351
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 0.8054919908466819,
|
2470 |
+
"grad_norm": 2.2784407138824463,
|
2471 |
+
"learning_rate": 6.97009609370806e-05,
|
2472 |
+
"loss": 2.22,
|
2473 |
+
"step": 352
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 0.8077803203661327,
|
2477 |
+
"grad_norm": 1.8243550062179565,
|
2478 |
+
"learning_rate": 6.952687777544922e-05,
|
2479 |
+
"loss": 2.1709,
|
2480 |
+
"step": 353
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 0.8100686498855835,
|
2484 |
+
"grad_norm": 1.965592384338379,
|
2485 |
+
"learning_rate": 6.935251486011087e-05,
|
2486 |
+
"loss": 2.2081,
|
2487 |
+
"step": 354
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 0.8123569794050344,
|
2491 |
+
"grad_norm": 1.8083536624908447,
|
2492 |
+
"learning_rate": 6.917787468909271e-05,
|
2493 |
+
"loss": 2.0548,
|
2494 |
+
"step": 355
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 0.8146453089244852,
|
2498 |
+
"grad_norm": 2.135918140411377,
|
2499 |
+
"learning_rate": 6.900295976439413e-05,
|
2500 |
+
"loss": 2.1584,
|
2501 |
+
"step": 356
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 0.816933638443936,
|
2505 |
+
"grad_norm": 1.90550696849823,
|
2506 |
+
"learning_rate": 6.882777259195071e-05,
|
2507 |
+
"loss": 2.0983,
|
2508 |
+
"step": 357
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 0.8192219679633868,
|
2512 |
+
"grad_norm": 2.0657262802124023,
|
2513 |
+
"learning_rate": 6.865231568159846e-05,
|
2514 |
+
"loss": 2.2419,
|
2515 |
+
"step": 358
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 0.8215102974828375,
|
2519 |
+
"grad_norm": 1.8104684352874756,
|
2520 |
+
"learning_rate": 6.847659154703785e-05,
|
2521 |
+
"loss": 2.0536,
|
2522 |
+
"step": 359
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 0.8237986270022883,
|
2526 |
+
"grad_norm": 1.855124831199646,
|
2527 |
+
"learning_rate": 6.830060270579768e-05,
|
2528 |
+
"loss": 2.2918,
|
2529 |
+
"step": 360
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.8260869565217391,
|
2533 |
+
"grad_norm": 1.8047131299972534,
|
2534 |
+
"learning_rate": 6.812435167919918e-05,
|
2535 |
+
"loss": 2.2204,
|
2536 |
+
"step": 361
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 0.8283752860411899,
|
2540 |
+
"grad_norm": 1.9419913291931152,
|
2541 |
+
"learning_rate": 6.794784099231972e-05,
|
2542 |
+
"loss": 2.1344,
|
2543 |
+
"step": 362
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 0.8306636155606407,
|
2547 |
+
"grad_norm": 2.067949056625366,
|
2548 |
+
"learning_rate": 6.777107317395679e-05,
|
2549 |
+
"loss": 2.1645,
|
2550 |
+
"step": 363
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.8329519450800915,
|
2554 |
+
"grad_norm": 1.7515795230865479,
|
2555 |
+
"learning_rate": 6.759405075659166e-05,
|
2556 |
+
"loss": 2.585,
|
2557 |
+
"step": 364
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 0.8352402745995423,
|
2561 |
+
"grad_norm": 1.828723430633545,
|
2562 |
+
"learning_rate": 6.741677627635317e-05,
|
2563 |
+
"loss": 2.1944,
|
2564 |
+
"step": 365
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 0.8375286041189931,
|
2568 |
+
"grad_norm": 2.222910165786743,
|
2569 |
+
"learning_rate": 6.723925227298132e-05,
|
2570 |
+
"loss": 2.1099,
|
2571 |
+
"step": 366
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 0.8398169336384439,
|
2575 |
+
"grad_norm": 1.6402628421783447,
|
2576 |
+
"learning_rate": 6.706148128979095e-05,
|
2577 |
+
"loss": 2.3331,
|
2578 |
+
"step": 367
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 0.8421052631578947,
|
2582 |
+
"grad_norm": 2.122103214263916,
|
2583 |
+
"learning_rate": 6.688346587363533e-05,
|
2584 |
+
"loss": 2.167,
|
2585 |
+
"step": 368
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 0.8443935926773455,
|
2589 |
+
"grad_norm": 1.705405592918396,
|
2590 |
+
"learning_rate": 6.67052085748695e-05,
|
2591 |
+
"loss": 2.1447,
|
2592 |
+
"step": 369
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 0.8466819221967964,
|
2596 |
+
"grad_norm": 1.9684945344924927,
|
2597 |
+
"learning_rate": 6.652671194731396e-05,
|
2598 |
+
"loss": 2.1688,
|
2599 |
+
"step": 370
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 0.8489702517162472,
|
2603 |
+
"grad_norm": 1.9052337408065796,
|
2604 |
+
"learning_rate": 6.634797854821795e-05,
|
2605 |
+
"loss": 2.1049,
|
2606 |
+
"step": 371
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 0.851258581235698,
|
2610 |
+
"grad_norm": 1.8532124757766724,
|
2611 |
+
"learning_rate": 6.616901093822283e-05,
|
2612 |
+
"loss": 2.2438,
|
2613 |
+
"step": 372
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 0.8535469107551488,
|
2617 |
+
"grad_norm": 1.8264321088790894,
|
2618 |
+
"learning_rate": 6.598981168132539e-05,
|
2619 |
+
"loss": 2.1135,
|
2620 |
+
"step": 373
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 0.8558352402745996,
|
2624 |
+
"grad_norm": 1.6481093168258667,
|
2625 |
+
"learning_rate": 6.58103833448412e-05,
|
2626 |
+
"loss": 2.1073,
|
2627 |
+
"step": 374
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 0.8581235697940504,
|
2631 |
+
"grad_norm": 1.8912767171859741,
|
2632 |
+
"learning_rate": 6.563072849936766e-05,
|
2633 |
+
"loss": 2.0309,
|
2634 |
+
"step": 375
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 0.8604118993135011,
|
2638 |
+
"grad_norm": 1.7808010578155518,
|
2639 |
+
"learning_rate": 6.545084971874738e-05,
|
2640 |
+
"loss": 2.3258,
|
2641 |
+
"step": 376
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 0.8627002288329519,
|
2645 |
+
"grad_norm": 1.9393279552459717,
|
2646 |
+
"learning_rate": 6.527074958003109e-05,
|
2647 |
+
"loss": 2.1877,
|
2648 |
+
"step": 377
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 0.8649885583524027,
|
2652 |
+
"grad_norm": 1.8000222444534302,
|
2653 |
+
"learning_rate": 6.509043066344092e-05,
|
2654 |
+
"loss": 2.172,
|
2655 |
+
"step": 378
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 0.8672768878718535,
|
2659 |
+
"grad_norm": 1.6351038217544556,
|
2660 |
+
"learning_rate": 6.490989555233327e-05,
|
2661 |
+
"loss": 1.9942,
|
2662 |
+
"step": 379
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 0.8695652173913043,
|
2666 |
+
"grad_norm": 1.7084710597991943,
|
2667 |
+
"learning_rate": 6.472914683316195e-05,
|
2668 |
+
"loss": 2.0928,
|
2669 |
+
"step": 380
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 0.8718535469107551,
|
2673 |
+
"grad_norm": 2.094414234161377,
|
2674 |
+
"learning_rate": 6.454818709544097e-05,
|
2675 |
+
"loss": 2.1815,
|
2676 |
+
"step": 381
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 0.8741418764302059,
|
2680 |
+
"grad_norm": 2.299128293991089,
|
2681 |
+
"learning_rate": 6.436701893170756e-05,
|
2682 |
+
"loss": 2.5142,
|
2683 |
+
"step": 382
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 0.8764302059496567,
|
2687 |
+
"grad_norm": 2.0357043743133545,
|
2688 |
+
"learning_rate": 6.4185644937485e-05,
|
2689 |
+
"loss": 2.2609,
|
2690 |
+
"step": 383
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 0.8787185354691075,
|
2694 |
+
"grad_norm": 1.9757893085479736,
|
2695 |
+
"learning_rate": 6.400406771124536e-05,
|
2696 |
+
"loss": 2.0867,
|
2697 |
+
"step": 384
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 0.8810068649885584,
|
2701 |
+
"grad_norm": 1.849135160446167,
|
2702 |
+
"learning_rate": 6.382228985437237e-05,
|
2703 |
+
"loss": 2.2756,
|
2704 |
+
"step": 385
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 0.8832951945080092,
|
2708 |
+
"grad_norm": 2.372392177581787,
|
2709 |
+
"learning_rate": 6.364031397112416e-05,
|
2710 |
+
"loss": 2.1671,
|
2711 |
+
"step": 386
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 0.88558352402746,
|
2715 |
+
"grad_norm": 1.765740156173706,
|
2716 |
+
"learning_rate": 6.345814266859581e-05,
|
2717 |
+
"loss": 1.9694,
|
2718 |
+
"step": 387
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 0.8878718535469108,
|
2722 |
+
"grad_norm": 2.085186719894409,
|
2723 |
+
"learning_rate": 6.327577855668216e-05,
|
2724 |
+
"loss": 2.1867,
|
2725 |
+
"step": 388
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 0.8901601830663616,
|
2729 |
+
"grad_norm": 2.0762360095977783,
|
2730 |
+
"learning_rate": 6.309322424804034e-05,
|
2731 |
+
"loss": 2.3435,
|
2732 |
+
"step": 389
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 0.8924485125858124,
|
2736 |
+
"grad_norm": 1.8886313438415527,
|
2737 |
+
"learning_rate": 6.291048235805234e-05,
|
2738 |
+
"loss": 1.9982,
|
2739 |
+
"step": 390
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 0.8947368421052632,
|
2743 |
+
"grad_norm": 1.963932752609253,
|
2744 |
+
"learning_rate": 6.272755550478757e-05,
|
2745 |
+
"loss": 2.1239,
|
2746 |
+
"step": 391
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 0.897025171624714,
|
2750 |
+
"grad_norm": 1.6394884586334229,
|
2751 |
+
"learning_rate": 6.254444630896529e-05,
|
2752 |
+
"loss": 2.2411,
|
2753 |
+
"step": 392
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 0.8993135011441648,
|
2757 |
+
"grad_norm": 2.1238386631011963,
|
2758 |
+
"learning_rate": 6.236115739391716e-05,
|
2759 |
+
"loss": 2.1889,
|
2760 |
+
"step": 393
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 0.9016018306636155,
|
2764 |
+
"grad_norm": 1.8659511804580688,
|
2765 |
+
"learning_rate": 6.21776913855496e-05,
|
2766 |
+
"loss": 1.9483,
|
2767 |
+
"step": 394
|
2768 |
+
},
|
2769 |
+
{
|
2770 |
+
"epoch": 0.9038901601830663,
|
2771 |
+
"grad_norm": 1.7186646461486816,
|
2772 |
+
"learning_rate": 6.199405091230614e-05,
|
2773 |
+
"loss": 1.8723,
|
2774 |
+
"step": 395
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 0.9061784897025171,
|
2778 |
+
"grad_norm": 2.3829565048217773,
|
2779 |
+
"learning_rate": 6.181023860512984e-05,
|
2780 |
+
"loss": 2.188,
|
2781 |
+
"step": 396
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 0.9084668192219679,
|
2785 |
+
"grad_norm": 1.926705002784729,
|
2786 |
+
"learning_rate": 6.162625709742551e-05,
|
2787 |
+
"loss": 2.1078,
|
2788 |
+
"step": 397
|
2789 |
+
},
|
2790 |
+
{
|
2791 |
+
"epoch": 0.9107551487414187,
|
2792 |
+
"grad_norm": 1.8216861486434937,
|
2793 |
+
"learning_rate": 6.144210902502207e-05,
|
2794 |
+
"loss": 2.0508,
|
2795 |
+
"step": 398
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 0.9130434782608695,
|
2799 |
+
"grad_norm": 1.8305362462997437,
|
2800 |
+
"learning_rate": 6.125779702613471e-05,
|
2801 |
+
"loss": 2.0667,
|
2802 |
+
"step": 399
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 0.9153318077803204,
|
2806 |
+
"grad_norm": 1.6279104948043823,
|
2807 |
+
"learning_rate": 6.107332374132715e-05,
|
2808 |
+
"loss": 2.0211,
|
2809 |
+
"step": 400
|
2810 |
+
},
|
2811 |
+
{
|
2812 |
+
"epoch": 0.9176201372997712,
|
2813 |
+
"grad_norm": 1.9483661651611328,
|
2814 |
+
"learning_rate": 6.088869181347379e-05,
|
2815 |
+
"loss": 1.9574,
|
2816 |
+
"step": 401
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 0.919908466819222,
|
2820 |
+
"grad_norm": 1.8065564632415771,
|
2821 |
+
"learning_rate": 6.0703903887721837e-05,
|
2822 |
+
"loss": 2.1856,
|
2823 |
+
"step": 402
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 0.9221967963386728,
|
2827 |
+
"grad_norm": 1.7617079019546509,
|
2828 |
+
"learning_rate": 6.051896261145341e-05,
|
2829 |
+
"loss": 2.0909,
|
2830 |
+
"step": 403
|
2831 |
+
},
|
2832 |
+
{
|
2833 |
+
"epoch": 0.9244851258581236,
|
2834 |
+
"grad_norm": 2.038517951965332,
|
2835 |
+
"learning_rate": 6.0333870634247645e-05,
|
2836 |
+
"loss": 2.0191,
|
2837 |
+
"step": 404
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 0.9267734553775744,
|
2841 |
+
"grad_norm": 1.9872255325317383,
|
2842 |
+
"learning_rate": 6.0148630607842706e-05,
|
2843 |
+
"loss": 2.0042,
|
2844 |
+
"step": 405
|
2845 |
+
},
|
2846 |
+
{
|
2847 |
+
"epoch": 0.9290617848970252,
|
2848 |
+
"grad_norm": 1.7905998229980469,
|
2849 |
+
"learning_rate": 5.9963245186097725e-05,
|
2850 |
+
"loss": 2.5172,
|
2851 |
+
"step": 406
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 0.931350114416476,
|
2855 |
+
"grad_norm": 1.7833902835845947,
|
2856 |
+
"learning_rate": 5.977771702495497e-05,
|
2857 |
+
"loss": 2.2731,
|
2858 |
+
"step": 407
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 0.9336384439359268,
|
2862 |
+
"grad_norm": 1.748382806777954,
|
2863 |
+
"learning_rate": 5.95920487824016e-05,
|
2864 |
+
"loss": 2.2315,
|
2865 |
+
"step": 408
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 0.9359267734553776,
|
2869 |
+
"grad_norm": 1.7928653955459595,
|
2870 |
+
"learning_rate": 5.940624311843169e-05,
|
2871 |
+
"loss": 1.9035,
|
2872 |
+
"step": 409
|
2873 |
+
},
|
2874 |
+
{
|
2875 |
+
"epoch": 0.9382151029748284,
|
2876 |
+
"grad_norm": 1.7036387920379639,
|
2877 |
+
"learning_rate": 5.922030269500809e-05,
|
2878 |
+
"loss": 1.9166,
|
2879 |
+
"step": 410
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 0.9405034324942791,
|
2883 |
+
"grad_norm": 2.600257396697998,
|
2884 |
+
"learning_rate": 5.9034230176024316e-05,
|
2885 |
+
"loss": 1.9559,
|
2886 |
+
"step": 411
|
2887 |
+
},
|
2888 |
+
{
|
2889 |
+
"epoch": 0.9427917620137299,
|
2890 |
+
"grad_norm": 1.8736798763275146,
|
2891 |
+
"learning_rate": 5.8848028227266325e-05,
|
2892 |
+
"loss": 1.9929,
|
2893 |
+
"step": 412
|
2894 |
+
},
|
2895 |
+
{
|
2896 |
+
"epoch": 0.9450800915331807,
|
2897 |
+
"grad_norm": 1.917090892791748,
|
2898 |
+
"learning_rate": 5.866169951637439e-05,
|
2899 |
+
"loss": 2.1785,
|
2900 |
+
"step": 413
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 0.9473684210526315,
|
2904 |
+
"grad_norm": 2.0305333137512207,
|
2905 |
+
"learning_rate": 5.847524671280484e-05,
|
2906 |
+
"loss": 2.1782,
|
2907 |
+
"step": 414
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 0.9496567505720824,
|
2911 |
+
"grad_norm": 1.9978338479995728,
|
2912 |
+
"learning_rate": 5.8288672487791854e-05,
|
2913 |
+
"loss": 2.1131,
|
2914 |
+
"step": 415
|
2915 |
+
},
|
2916 |
+
{
|
2917 |
+
"epoch": 0.9519450800915332,
|
2918 |
+
"grad_norm": 1.714215874671936,
|
2919 |
+
"learning_rate": 5.810197951430911e-05,
|
2920 |
+
"loss": 2.0684,
|
2921 |
+
"step": 416
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 0.954233409610984,
|
2925 |
+
"grad_norm": 1.8952488899230957,
|
2926 |
+
"learning_rate": 5.7915170467031635e-05,
|
2927 |
+
"loss": 2.2021,
|
2928 |
+
"step": 417
|
2929 |
+
},
|
2930 |
+
{
|
2931 |
+
"epoch": 0.9565217391304348,
|
2932 |
+
"grad_norm": 2.1692068576812744,
|
2933 |
+
"learning_rate": 5.772824802229733e-05,
|
2934 |
+
"loss": 2.1982,
|
2935 |
+
"step": 418
|
2936 |
+
},
|
2937 |
+
{
|
2938 |
+
"epoch": 0.9588100686498856,
|
2939 |
+
"grad_norm": 1.9838628768920898,
|
2940 |
+
"learning_rate": 5.7541214858068705e-05,
|
2941 |
+
"loss": 1.9893,
|
2942 |
+
"step": 419
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 0.9610983981693364,
|
2946 |
+
"grad_norm": 1.965591311454773,
|
2947 |
+
"learning_rate": 5.735407365389453e-05,
|
2948 |
+
"loss": 2.2526,
|
2949 |
+
"step": 420
|
2950 |
+
},
|
2951 |
+
{
|
2952 |
+
"epoch": 0.9633867276887872,
|
2953 |
+
"grad_norm": 1.8901221752166748,
|
2954 |
+
"learning_rate": 5.716682709087139e-05,
|
2955 |
+
"loss": 2.1193,
|
2956 |
+
"step": 421
|
2957 |
+
},
|
2958 |
+
{
|
2959 |
+
"epoch": 0.965675057208238,
|
2960 |
+
"grad_norm": 1.8736552000045776,
|
2961 |
+
"learning_rate": 5.697947785160532e-05,
|
2962 |
+
"loss": 1.9734,
|
2963 |
+
"step": 422
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 0.9679633867276888,
|
2967 |
+
"grad_norm": 1.5453659296035767,
|
2968 |
+
"learning_rate": 5.679202862017338e-05,
|
2969 |
+
"loss": 2.1037,
|
2970 |
+
"step": 423
|
2971 |
+
},
|
2972 |
+
{
|
2973 |
+
"epoch": 0.9702517162471396,
|
2974 |
+
"grad_norm": 2.2312018871307373,
|
2975 |
+
"learning_rate": 5.660448208208513e-05,
|
2976 |
+
"loss": 2.2064,
|
2977 |
+
"step": 424
|
2978 |
+
},
|
2979 |
+
{
|
2980 |
+
"epoch": 0.9725400457665904,
|
2981 |
+
"grad_norm": 2.2896294593811035,
|
2982 |
+
"learning_rate": 5.641684092424421e-05,
|
2983 |
+
"loss": 2.1111,
|
2984 |
+
"step": 425
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 0.9748283752860412,
|
2988 |
+
"grad_norm": 1.7300447225570679,
|
2989 |
+
"learning_rate": 5.622910783490988e-05,
|
2990 |
+
"loss": 2.1577,
|
2991 |
+
"step": 426
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 0.977116704805492,
|
2995 |
+
"grad_norm": 1.988135576248169,
|
2996 |
+
"learning_rate": 5.604128550365845e-05,
|
2997 |
+
"loss": 2.0322,
|
2998 |
+
"step": 427
|
2999 |
+
},
|
3000 |
+
{
|
3001 |
+
"epoch": 0.9794050343249427,
|
3002 |
+
"grad_norm": 1.9037761688232422,
|
3003 |
+
"learning_rate": 5.585337662134471e-05,
|
3004 |
+
"loss": 2.351,
|
3005 |
+
"step": 428
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 0.9816933638443935,
|
3009 |
+
"grad_norm": 1.5671565532684326,
|
3010 |
+
"learning_rate": 5.56653838800635e-05,
|
3011 |
+
"loss": 1.8901,
|
3012 |
+
"step": 429
|
3013 |
+
},
|
3014 |
+
{
|
3015 |
+
"epoch": 0.9839816933638444,
|
3016 |
+
"grad_norm": 1.687756896018982,
|
3017 |
+
"learning_rate": 5.5477309973111046e-05,
|
3018 |
+
"loss": 2.2379,
|
3019 |
+
"step": 430
|
3020 |
+
},
|
3021 |
+
{
|
3022 |
+
"epoch": 0.9862700228832952,
|
3023 |
+
"grad_norm": 1.8213844299316406,
|
3024 |
+
"learning_rate": 5.52891575949464e-05,
|
3025 |
+
"loss": 2.1647,
|
3026 |
+
"step": 431
|
3027 |
+
},
|
3028 |
+
{
|
3029 |
+
"epoch": 0.988558352402746,
|
3030 |
+
"grad_norm": 2.0748496055603027,
|
3031 |
+
"learning_rate": 5.510092944115286e-05,
|
3032 |
+
"loss": 2.0475,
|
3033 |
+
"step": 432
|
3034 |
+
},
|
3035 |
+
{
|
3036 |
+
"epoch": 0.9908466819221968,
|
3037 |
+
"grad_norm": 1.5618698596954346,
|
3038 |
+
"learning_rate": 5.4912628208399294e-05,
|
3039 |
+
"loss": 1.9637,
|
3040 |
+
"step": 433
|
3041 |
+
},
|
3042 |
+
{
|
3043 |
+
"epoch": 0.9931350114416476,
|
3044 |
+
"grad_norm": 2.596681594848633,
|
3045 |
+
"learning_rate": 5.472425659440157e-05,
|
3046 |
+
"loss": 2.408,
|
3047 |
+
"step": 434
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 0.9954233409610984,
|
3051 |
+
"grad_norm": 1.877379059791565,
|
3052 |
+
"learning_rate": 5.4535817297883876e-05,
|
3053 |
+
"loss": 2.009,
|
3054 |
+
"step": 435
|
3055 |
+
},
|
3056 |
+
{
|
3057 |
+
"epoch": 0.9977116704805492,
|
3058 |
+
"grad_norm": 2.1219913959503174,
|
3059 |
+
"learning_rate": 5.4347313018540056e-05,
|
3060 |
+
"loss": 2.0394,
|
3061 |
+
"step": 436
|
3062 |
+
},
|
3063 |
+
{
|
3064 |
+
"epoch": 1.0,
|
3065 |
+
"grad_norm": 1.9108868837356567,
|
3066 |
+
"learning_rate": 5.415874645699492e-05,
|
3067 |
+
"loss": 2.2033,
|
3068 |
+
"step": 437
|
3069 |
+
}
|
3070 |
+
],
|
3071 |
+
"logging_steps": 1,
|
3072 |
+
"max_steps": 874,
|
3073 |
+
"num_input_tokens_seen": 0,
|
3074 |
+
"num_train_epochs": 2,
|
3075 |
+
"save_steps": 437,
|
3076 |
+
"stateful_callbacks": {
|
3077 |
+
"TrainerControl": {
|
3078 |
+
"args": {
|
3079 |
+
"should_epoch_stop": false,
|
3080 |
+
"should_evaluate": false,
|
3081 |
+
"should_log": false,
|
3082 |
+
"should_save": true,
|
3083 |
+
"should_training_stop": false
|
3084 |
+
},
|
3085 |
+
"attributes": {}
|
3086 |
+
}
|
3087 |
+
},
|
3088 |
+
"total_flos": 7.397198548225229e+16,
|
3089 |
+
"train_batch_size": 8,
|
3090 |
+
"trial_name": null,
|
3091 |
+
"trial_params": null
|
3092 |
+
}
|
checkpoint-437/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:407aae785290aa0626a98c1bf487720496944cfff2631a5dbe89e4ab47993f7d
|
3 |
+
size 5432
|
checkpoint-874/config.json
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/OLMo-2-1124-7B-hne_Deva-coli-rand/",
|
3 |
+
"architectures": [
|
4 |
+
"Olmo2ForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"eos_token_id": 100257,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 4096,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 11008,
|
13 |
+
"max_position_embeddings": 4096,
|
14 |
+
"model_type": "olmo2",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_hidden_layers": 32,
|
17 |
+
"num_key_value_heads": 32,
|
18 |
+
"pad_token_id": 100277,
|
19 |
+
"rms_norm_eps": 1e-06,
|
20 |
+
"rope_scaling": null,
|
21 |
+
"rope_theta": 500000,
|
22 |
+
"tie_word_embeddings": false,
|
23 |
+
"torch_dtype": "float32",
|
24 |
+
"transformers_version": "4.48.0.dev0",
|
25 |
+
"use_cache": true,
|
26 |
+
"vocab_size": 100384
|
27 |
+
}
|
checkpoint-874/generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"eos_token_id": 100257,
|
4 |
+
"pad_token_id": 100277,
|
5 |
+
"transformers_version": "4.48.0.dev0"
|
6 |
+
}
|
checkpoint-874/model-00001-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:abca4ffe0c71a6cba24465f1eafe4a459b33d4e183a6d6b7b280739ae81eb5e9
|
3 |
+
size 4950070472
|
checkpoint-874/model-00002-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:de0b6a357d03676c4986588aaf4dc96afc3f44a0498514961d2b2cfa1940655e
|
3 |
+
size 4991622816
|
checkpoint-874/model-00003-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c1038a7d346a681a8fb6949e054c2246f3f3c80e826855c1cec6af1155cc607d
|
3 |
+
size 4924546896
|
checkpoint-874/model-00004-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:33c0a21146ace02d36928787ae7f34be868f7c81b894dea98ec7b0e5a3ea01b2
|
3 |
+
size 4857404928
|
checkpoint-874/model-00005-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e7f82a3014ccfc0f67208f63785ae4bc71f09aba86db48bf6139d18178abbfed
|
3 |
+
size 4857404928
|
checkpoint-874/model-00006-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:847a2fdd02fbc0c023b36c23cb4f1d5eba52470b08e017c482c23e1b5372631c
|
3 |
+
size 4614509080
|
checkpoint-874/model.safetensors.index.json
ADDED
@@ -0,0 +1,362 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 29195517952
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00006-of-00006.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00006.safetensors",
|
8 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
9 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
10 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
12 |
+
"model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
16 |
+
"model.layers.0.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
18 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
19 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
20 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
21 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
22 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
23 |
+
"model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
|
24 |
+
"model.layers.1.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
25 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
26 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
27 |
+
"model.layers.1.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
28 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
29 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
30 |
+
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
31 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
32 |
+
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
33 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
34 |
+
"model.layers.10.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
35 |
+
"model.layers.10.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
36 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
37 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
38 |
+
"model.layers.10.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
39 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
40 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
41 |
+
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
42 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
43 |
+
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
44 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
45 |
+
"model.layers.11.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
46 |
+
"model.layers.11.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
47 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
48 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
49 |
+
"model.layers.11.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
50 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
51 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
52 |
+
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
53 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
54 |
+
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
55 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
56 |
+
"model.layers.12.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
57 |
+
"model.layers.12.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
58 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
59 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
60 |
+
"model.layers.12.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
61 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
62 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
63 |
+
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
64 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
65 |
+
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
66 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
67 |
+
"model.layers.13.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
68 |
+
"model.layers.13.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
69 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
70 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
71 |
+
"model.layers.13.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
72 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
73 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
74 |
+
"model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
75 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
76 |
+
"model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
77 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
78 |
+
"model.layers.14.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
79 |
+
"model.layers.14.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
80 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
81 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
82 |
+
"model.layers.14.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
83 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
84 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
85 |
+
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
86 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
87 |
+
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
88 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
89 |
+
"model.layers.15.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
90 |
+
"model.layers.15.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
91 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
92 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
93 |
+
"model.layers.15.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
94 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
95 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
96 |
+
"model.layers.16.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
97 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
98 |
+
"model.layers.16.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
99 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
100 |
+
"model.layers.16.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
101 |
+
"model.layers.16.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
102 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
103 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
104 |
+
"model.layers.16.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
105 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
106 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
107 |
+
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
108 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
109 |
+
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
110 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
111 |
+
"model.layers.17.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
112 |
+
"model.layers.17.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
113 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
114 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
115 |
+
"model.layers.17.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
116 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
117 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
118 |
+
"model.layers.18.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
119 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
120 |
+
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
121 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
122 |
+
"model.layers.18.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
123 |
+
"model.layers.18.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
124 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
125 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
126 |
+
"model.layers.18.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
127 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
128 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
129 |
+
"model.layers.19.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
130 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
131 |
+
"model.layers.19.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
132 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
133 |
+
"model.layers.19.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
134 |
+
"model.layers.19.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
135 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
136 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
137 |
+
"model.layers.19.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
138 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
139 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
140 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
141 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
142 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
143 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
144 |
+
"model.layers.2.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
|
145 |
+
"model.layers.2.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
146 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
147 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
148 |
+
"model.layers.2.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
149 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
150 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
151 |
+
"model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
152 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
153 |
+
"model.layers.20.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
154 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
155 |
+
"model.layers.20.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
156 |
+
"model.layers.20.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
157 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
158 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
159 |
+
"model.layers.20.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
160 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
161 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
162 |
+
"model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
163 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
164 |
+
"model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
165 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
166 |
+
"model.layers.21.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
167 |
+
"model.layers.21.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
168 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
169 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
170 |
+
"model.layers.21.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
171 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
172 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
173 |
+
"model.layers.22.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
174 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
175 |
+
"model.layers.22.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
176 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
177 |
+
"model.layers.22.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
178 |
+
"model.layers.22.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
179 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
180 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
181 |
+
"model.layers.22.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
182 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
183 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
184 |
+
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
185 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
186 |
+
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
187 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
188 |
+
"model.layers.23.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
189 |
+
"model.layers.23.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
190 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
191 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
192 |
+
"model.layers.23.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
193 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
194 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
195 |
+
"model.layers.24.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
196 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
197 |
+
"model.layers.24.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
198 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
199 |
+
"model.layers.24.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
200 |
+
"model.layers.24.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
201 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
202 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
203 |
+
"model.layers.24.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
204 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
205 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
206 |
+
"model.layers.25.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
207 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
208 |
+
"model.layers.25.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
209 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
210 |
+
"model.layers.25.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
211 |
+
"model.layers.25.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
212 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
213 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
214 |
+
"model.layers.25.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
215 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
216 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
217 |
+
"model.layers.26.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
218 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
219 |
+
"model.layers.26.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
220 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
221 |
+
"model.layers.26.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
222 |
+
"model.layers.26.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
223 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
224 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
225 |
+
"model.layers.26.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
226 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
227 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
228 |
+
"model.layers.27.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
229 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
230 |
+
"model.layers.27.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
231 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
232 |
+
"model.layers.27.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
233 |
+
"model.layers.27.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
234 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
235 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
236 |
+
"model.layers.27.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
237 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
238 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
239 |
+
"model.layers.28.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
240 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
241 |
+
"model.layers.28.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
242 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
243 |
+
"model.layers.28.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
|
244 |
+
"model.layers.28.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
245 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
246 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
247 |
+
"model.layers.28.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
248 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
249 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
250 |
+
"model.layers.29.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
251 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
252 |
+
"model.layers.29.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
253 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
254 |
+
"model.layers.29.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
|
255 |
+
"model.layers.29.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
|
256 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
257 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
258 |
+
"model.layers.29.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
|
259 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
260 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
261 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
262 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
263 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
264 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
265 |
+
"model.layers.3.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
|
266 |
+
"model.layers.3.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
267 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
268 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
269 |
+
"model.layers.3.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
270 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
271 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
272 |
+
"model.layers.30.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
273 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
274 |
+
"model.layers.30.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
275 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
276 |
+
"model.layers.30.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
|
277 |
+
"model.layers.30.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
|
278 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
279 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
280 |
+
"model.layers.30.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
|
281 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
282 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
283 |
+
"model.layers.31.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
284 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
285 |
+
"model.layers.31.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
286 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
287 |
+
"model.layers.31.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
|
288 |
+
"model.layers.31.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
|
289 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
290 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
291 |
+
"model.layers.31.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
|
292 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
293 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
294 |
+
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
295 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
296 |
+
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
297 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
298 |
+
"model.layers.4.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
299 |
+
"model.layers.4.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
300 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
301 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
302 |
+
"model.layers.4.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
303 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
304 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
305 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
306 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
307 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
308 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
309 |
+
"model.layers.5.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
310 |
+
"model.layers.5.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
311 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
312 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
313 |
+
"model.layers.5.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
314 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
315 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
316 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
317 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
318 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
319 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
320 |
+
"model.layers.6.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
321 |
+
"model.layers.6.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
322 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
323 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
324 |
+
"model.layers.6.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
325 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
326 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
327 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
328 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
329 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
330 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
331 |
+
"model.layers.7.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
332 |
+
"model.layers.7.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
333 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
334 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
335 |
+
"model.layers.7.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
336 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
337 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
338 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
339 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
340 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
341 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
342 |
+
"model.layers.8.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
343 |
+
"model.layers.8.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
344 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
345 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
346 |
+
"model.layers.8.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
347 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
348 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
349 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
350 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
351 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
352 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
353 |
+
"model.layers.9.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
354 |
+
"model.layers.9.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
355 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
356 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
357 |
+
"model.layers.9.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
358 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
359 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
360 |
+
"model.norm.weight": "model-00006-of-00006.safetensors"
|
361 |
+
}
|
362 |
+
}
|
checkpoint-874/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cacee80fba84856a5452998cd2a56057921ab37afa4b3732b20b672bd6b0e092
|
3 |
+
size 13055369358
|
checkpoint-874/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1ff264f99d31b522cc7e2a4eac9d38606d0c58a34c0adc74d71e0ca8b371dc36
|
3 |
+
size 14244
|
checkpoint-874/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:921ef81d5cd742cea225b9dd7afbd661ef4841a6f5ca87bde1ad41497b498ff5
|
3 |
+
size 1064
|
checkpoint-874/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-874/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:407aae785290aa0626a98c1bf487720496944cfff2631a5dbe89e4ab47993f7d
|
3 |
+
size 5432
|
config.json
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/OLMo-2-1124-7B-hne_Deva-coli-rand/",
|
3 |
+
"architectures": [
|
4 |
+
"Olmo2ForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"eos_token_id": 100257,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 4096,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 11008,
|
13 |
+
"max_position_embeddings": 4096,
|
14 |
+
"model_type": "olmo2",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_hidden_layers": 32,
|
17 |
+
"num_key_value_heads": 32,
|
18 |
+
"pad_token_id": 100277,
|
19 |
+
"rms_norm_eps": 1e-06,
|
20 |
+
"rope_scaling": null,
|
21 |
+
"rope_theta": 500000,
|
22 |
+
"tie_word_embeddings": false,
|
23 |
+
"torch_dtype": "float32",
|
24 |
+
"transformers_version": "4.48.0.dev0",
|
25 |
+
"use_cache": true,
|
26 |
+
"vocab_size": 100384
|
27 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"eos_token_id": 100257,
|
4 |
+
"pad_token_id": 100277,
|
5 |
+
"transformers_version": "4.48.0.dev0"
|
6 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
model-00001-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:abca4ffe0c71a6cba24465f1eafe4a459b33d4e183a6d6b7b280739ae81eb5e9
|
3 |
+
size 4950070472
|
model-00002-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:de0b6a357d03676c4986588aaf4dc96afc3f44a0498514961d2b2cfa1940655e
|
3 |
+
size 4991622816
|
model-00003-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c1038a7d346a681a8fb6949e054c2246f3f3c80e826855c1cec6af1155cc607d
|
3 |
+
size 4924546896
|
model-00004-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:33c0a21146ace02d36928787ae7f34be868f7c81b894dea98ec7b0e5a3ea01b2
|
3 |
+
size 4857404928
|
model-00005-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e7f82a3014ccfc0f67208f63785ae4bc71f09aba86db48bf6139d18178abbfed
|
3 |
+
size 4857404928
|
model-00006-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:847a2fdd02fbc0c023b36c23cb4f1d5eba52470b08e017c482c23e1b5372631c
|
3 |
+
size 4614509080
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,362 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 29195517952
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00006-of-00006.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00006.safetensors",
|
8 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
9 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
10 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
12 |
+
"model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
16 |
+
"model.layers.0.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
18 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
19 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
20 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
21 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
22 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
23 |
+
"model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
|
24 |
+
"model.layers.1.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
25 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
26 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
27 |
+
"model.layers.1.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
28 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
29 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
30 |
+
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
31 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
32 |
+
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
33 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
34 |
+
"model.layers.10.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
35 |
+
"model.layers.10.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
36 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
37 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
38 |
+
"model.layers.10.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
39 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
40 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
41 |
+
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
42 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
43 |
+
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
44 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
45 |
+
"model.layers.11.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
46 |
+
"model.layers.11.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
47 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
48 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
49 |
+
"model.layers.11.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
50 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
51 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
52 |
+
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
53 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
54 |
+
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
55 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
56 |
+
"model.layers.12.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
57 |
+
"model.layers.12.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
58 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
59 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
60 |
+
"model.layers.12.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
61 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
62 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
63 |
+
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
64 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
65 |
+
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
66 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
67 |
+
"model.layers.13.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
68 |
+
"model.layers.13.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
69 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
70 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
71 |
+
"model.layers.13.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
72 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
73 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
74 |
+
"model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
75 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
76 |
+
"model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
77 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
78 |
+
"model.layers.14.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
79 |
+
"model.layers.14.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
80 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
81 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
82 |
+
"model.layers.14.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
83 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
84 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
85 |
+
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
86 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
87 |
+
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
88 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
89 |
+
"model.layers.15.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
|
90 |
+
"model.layers.15.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
91 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
92 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
93 |
+
"model.layers.15.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
94 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
95 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
96 |
+
"model.layers.16.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
97 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
98 |
+
"model.layers.16.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
99 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
100 |
+
"model.layers.16.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
101 |
+
"model.layers.16.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
|
102 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
103 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
104 |
+
"model.layers.16.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
|
105 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
106 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
107 |
+
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
108 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
109 |
+
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
110 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
111 |
+
"model.layers.17.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
112 |
+
"model.layers.17.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
113 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
114 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
115 |
+
"model.layers.17.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
116 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
117 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
118 |
+
"model.layers.18.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
119 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
120 |
+
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
121 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
122 |
+
"model.layers.18.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
123 |
+
"model.layers.18.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
124 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
125 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
126 |
+
"model.layers.18.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
127 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
128 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
129 |
+
"model.layers.19.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
130 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
131 |
+
"model.layers.19.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
132 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
133 |
+
"model.layers.19.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
134 |
+
"model.layers.19.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
135 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
136 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
137 |
+
"model.layers.19.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
138 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
139 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
140 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
141 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
142 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
143 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
144 |
+
"model.layers.2.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
|
145 |
+
"model.layers.2.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
146 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
147 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
148 |
+
"model.layers.2.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
149 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
150 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
151 |
+
"model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
152 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
153 |
+
"model.layers.20.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
154 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
155 |
+
"model.layers.20.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
156 |
+
"model.layers.20.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
157 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
158 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
159 |
+
"model.layers.20.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
160 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
161 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
162 |
+
"model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
163 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
164 |
+
"model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
165 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
166 |
+
"model.layers.21.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
|
167 |
+
"model.layers.21.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
168 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
169 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
170 |
+
"model.layers.21.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
171 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
172 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
173 |
+
"model.layers.22.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
174 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
175 |
+
"model.layers.22.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
176 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
177 |
+
"model.layers.22.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
178 |
+
"model.layers.22.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
|
179 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
180 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
181 |
+
"model.layers.22.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
|
182 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
183 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
184 |
+
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
185 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
186 |
+
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
187 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
188 |
+
"model.layers.23.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
189 |
+
"model.layers.23.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
190 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
191 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
192 |
+
"model.layers.23.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
193 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
194 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
195 |
+
"model.layers.24.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
196 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
197 |
+
"model.layers.24.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
198 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
199 |
+
"model.layers.24.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
200 |
+
"model.layers.24.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
201 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
202 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
203 |
+
"model.layers.24.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
204 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
205 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
206 |
+
"model.layers.25.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
207 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
208 |
+
"model.layers.25.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
209 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
210 |
+
"model.layers.25.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
211 |
+
"model.layers.25.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
212 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
213 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
214 |
+
"model.layers.25.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
215 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
216 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
217 |
+
"model.layers.26.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
218 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
219 |
+
"model.layers.26.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
220 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
221 |
+
"model.layers.26.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
222 |
+
"model.layers.26.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
223 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
224 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
225 |
+
"model.layers.26.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
226 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
227 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
228 |
+
"model.layers.27.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
229 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
230 |
+
"model.layers.27.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
231 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
232 |
+
"model.layers.27.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
|
233 |
+
"model.layers.27.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
234 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
235 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
236 |
+
"model.layers.27.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
237 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
238 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
239 |
+
"model.layers.28.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
240 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
241 |
+
"model.layers.28.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
242 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
243 |
+
"model.layers.28.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
|
244 |
+
"model.layers.28.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
|
245 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
246 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
247 |
+
"model.layers.28.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
|
248 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
249 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
250 |
+
"model.layers.29.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
251 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
252 |
+
"model.layers.29.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
253 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
254 |
+
"model.layers.29.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
|
255 |
+
"model.layers.29.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
|
256 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
257 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
258 |
+
"model.layers.29.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
|
259 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
260 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
261 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
262 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
263 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
264 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
265 |
+
"model.layers.3.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
|
266 |
+
"model.layers.3.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
|
267 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
268 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
269 |
+
"model.layers.3.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
|
270 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
271 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
272 |
+
"model.layers.30.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
273 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
274 |
+
"model.layers.30.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
275 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
276 |
+
"model.layers.30.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
|
277 |
+
"model.layers.30.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
|
278 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
279 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
280 |
+
"model.layers.30.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
|
281 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
282 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
283 |
+
"model.layers.31.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
284 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
285 |
+
"model.layers.31.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
286 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
287 |
+
"model.layers.31.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
|
288 |
+
"model.layers.31.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
|
289 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
290 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
291 |
+
"model.layers.31.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
|
292 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
293 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
294 |
+
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
295 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
296 |
+
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
297 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
298 |
+
"model.layers.4.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
299 |
+
"model.layers.4.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
300 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
301 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
302 |
+
"model.layers.4.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
303 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
304 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
305 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
306 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
307 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
308 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
309 |
+
"model.layers.5.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
310 |
+
"model.layers.5.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
311 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
312 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
313 |
+
"model.layers.5.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
314 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
315 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
316 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
317 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
318 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
319 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
320 |
+
"model.layers.6.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
321 |
+
"model.layers.6.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
322 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
323 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
324 |
+
"model.layers.6.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
325 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
326 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
327 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
328 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
329 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
330 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
331 |
+
"model.layers.7.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
332 |
+
"model.layers.7.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
333 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
334 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
335 |
+
"model.layers.7.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
336 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
337 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
338 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
339 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
340 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
341 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
342 |
+
"model.layers.8.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
343 |
+
"model.layers.8.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
344 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
345 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
346 |
+
"model.layers.8.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
347 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
348 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
349 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
350 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
351 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
352 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
353 |
+
"model.layers.9.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
|
354 |
+
"model.layers.9.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
|
355 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
356 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
357 |
+
"model.layers.9.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
|
358 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
359 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
360 |
+
"model.norm.weight": "model-00006-of-00006.safetensors"
|
361 |
+
}
|
362 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|endoftext|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<|pad|>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<|endoftext|>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,189 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"100256": {
|
5 |
+
"content": "<|extra_id_0|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": false
|
11 |
+
},
|
12 |
+
"100257": {
|
13 |
+
"content": "<|endoftext|>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"100258": {
|
21 |
+
"content": "<|fim_prefix|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"100259": {
|
29 |
+
"content": "<|fim_middle|>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"100260": {
|
37 |
+
"content": "<|fim_suffix|>",
|
38 |
+
"lstrip": false,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"100261": {
|
45 |
+
"content": "|||PHONE_NUMBER|||",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": false
|
51 |
+
},
|
52 |
+
"100262": {
|
53 |
+
"content": "|||EMAIL_ADDRESS|||",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": false
|
59 |
+
},
|
60 |
+
"100263": {
|
61 |
+
"content": "|||IP_ADDRESS|||",
|
62 |
+
"lstrip": false,
|
63 |
+
"normalized": false,
|
64 |
+
"rstrip": false,
|
65 |
+
"single_word": false,
|
66 |
+
"special": false
|
67 |
+
},
|
68 |
+
"100264": {
|
69 |
+
"content": "<|im_start|>",
|
70 |
+
"lstrip": false,
|
71 |
+
"normalized": false,
|
72 |
+
"rstrip": false,
|
73 |
+
"single_word": false,
|
74 |
+
"special": true
|
75 |
+
},
|
76 |
+
"100265": {
|
77 |
+
"content": "<|im_end|>",
|
78 |
+
"lstrip": false,
|
79 |
+
"normalized": false,
|
80 |
+
"rstrip": false,
|
81 |
+
"single_word": false,
|
82 |
+
"special": true
|
83 |
+
},
|
84 |
+
"100266": {
|
85 |
+
"content": "<|extra_id_1|>",
|
86 |
+
"lstrip": false,
|
87 |
+
"normalized": false,
|
88 |
+
"rstrip": false,
|
89 |
+
"single_word": false,
|
90 |
+
"special": false
|
91 |
+
},
|
92 |
+
"100267": {
|
93 |
+
"content": "<|extra_id_2|>",
|
94 |
+
"lstrip": false,
|
95 |
+
"normalized": false,
|
96 |
+
"rstrip": false,
|
97 |
+
"single_word": false,
|
98 |
+
"special": false
|
99 |
+
},
|
100 |
+
"100268": {
|
101 |
+
"content": "<|extra_id_3|>",
|
102 |
+
"lstrip": false,
|
103 |
+
"normalized": false,
|
104 |
+
"rstrip": false,
|
105 |
+
"single_word": false,
|
106 |
+
"special": false
|
107 |
+
},
|
108 |
+
"100269": {
|
109 |
+
"content": "<|extra_id_4|>",
|
110 |
+
"lstrip": false,
|
111 |
+
"normalized": false,
|
112 |
+
"rstrip": false,
|
113 |
+
"single_word": false,
|
114 |
+
"special": false
|
115 |
+
},
|
116 |
+
"100270": {
|
117 |
+
"content": "<|extra_id_5|>",
|
118 |
+
"lstrip": false,
|
119 |
+
"normalized": false,
|
120 |
+
"rstrip": false,
|
121 |
+
"single_word": false,
|
122 |
+
"special": false
|
123 |
+
},
|
124 |
+
"100271": {
|
125 |
+
"content": "<|extra_id_6|>",
|
126 |
+
"lstrip": false,
|
127 |
+
"normalized": false,
|
128 |
+
"rstrip": false,
|
129 |
+
"single_word": false,
|
130 |
+
"special": false
|
131 |
+
},
|
132 |
+
"100272": {
|
133 |
+
"content": "<|extra_id_7|>",
|
134 |
+
"lstrip": false,
|
135 |
+
"normalized": false,
|
136 |
+
"rstrip": false,
|
137 |
+
"single_word": false,
|
138 |
+
"special": false
|
139 |
+
},
|
140 |
+
"100273": {
|
141 |
+
"content": "<|extra_id_8|>",
|
142 |
+
"lstrip": false,
|
143 |
+
"normalized": false,
|
144 |
+
"rstrip": false,
|
145 |
+
"single_word": false,
|
146 |
+
"special": false
|
147 |
+
},
|
148 |
+
"100274": {
|
149 |
+
"content": "<|extra_id_9|>",
|
150 |
+
"lstrip": false,
|
151 |
+
"normalized": false,
|
152 |
+
"rstrip": false,
|
153 |
+
"single_word": false,
|
154 |
+
"special": false
|
155 |
+
},
|
156 |
+
"100275": {
|
157 |
+
"content": "<|extra_id_10|>",
|
158 |
+
"lstrip": false,
|
159 |
+
"normalized": false,
|
160 |
+
"rstrip": false,
|
161 |
+
"single_word": false,
|
162 |
+
"special": false
|
163 |
+
},
|
164 |
+
"100276": {
|
165 |
+
"content": "<|endofprompt|>",
|
166 |
+
"lstrip": false,
|
167 |
+
"normalized": false,
|
168 |
+
"rstrip": false,
|
169 |
+
"single_word": false,
|
170 |
+
"special": true
|
171 |
+
},
|
172 |
+
"100277": {
|
173 |
+
"content": "<|pad|>",
|
174 |
+
"lstrip": false,
|
175 |
+
"normalized": false,
|
176 |
+
"rstrip": false,
|
177 |
+
"single_word": false,
|
178 |
+
"special": true
|
179 |
+
}
|
180 |
+
},
|
181 |
+
"bos_token": "<|endoftext|>",
|
182 |
+
"clean_up_tokenization_spaces": false,
|
183 |
+
"eos_token": "<|endoftext|>",
|
184 |
+
"extra_special_tokens": {},
|
185 |
+
"model_max_length": 1000000000000000019884624838656,
|
186 |
+
"pad_token": "<|pad|>",
|
187 |
+
"tokenizer_class": "GPT2Tokenizer",
|
188 |
+
"unk_token": "<|endoftext|>"
|
189 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:407aae785290aa0626a98c1bf487720496944cfff2631a5dbe89e4ab47993f7d
|
3 |
+
size 5432
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|