Upload folder using huggingface_hub
Browse files- checkpoint-1990/config.json +27 -0
- checkpoint-1990/generation_config.json +6 -0
- checkpoint-1990/model-00001-of-00006.safetensors +3 -0
- checkpoint-1990/model-00002-of-00006.safetensors +3 -0
- checkpoint-1990/model-00003-of-00006.safetensors +3 -0
- checkpoint-1990/model-00004-of-00006.safetensors +3 -0
- checkpoint-1990/model-00005-of-00006.safetensors +3 -0
- checkpoint-1990/model-00006-of-00006.safetensors +3 -0
- checkpoint-1990/model.safetensors.index.json +362 -0
- checkpoint-1990/optimizer.pt +3 -0
- checkpoint-1990/rng_state.pth +3 -0
- checkpoint-1990/scheduler.pt +3 -0
- checkpoint-1990/trainer_state.json +0 -0
- checkpoint-1990/training_args.bin +3 -0
- checkpoint-995/config.json +27 -0
- checkpoint-995/generation_config.json +6 -0
- checkpoint-995/model-00001-of-00006.safetensors +3 -0
- checkpoint-995/model-00002-of-00006.safetensors +3 -0
- checkpoint-995/model-00003-of-00006.safetensors +3 -0
- checkpoint-995/model-00004-of-00006.safetensors +3 -0
- checkpoint-995/model-00005-of-00006.safetensors +3 -0
- checkpoint-995/model-00006-of-00006.safetensors +3 -0
- checkpoint-995/model.safetensors.index.json +362 -0
- checkpoint-995/optimizer.pt +3 -0
- checkpoint-995/rng_state.pth +3 -0
- checkpoint-995/scheduler.pt +3 -0
- checkpoint-995/trainer_state.json +3512 -0
- checkpoint-995/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-1990/config.json
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/OLMo-2-1124-7B-ace_Latn-coli-align/",
|
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-1990/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-1990/model-00001-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dab1ba52a0dcbed9b5315742c600110fdc1df4fe9a936e9d7840174e0740b493
|
3 |
+
size 4950070472
|
checkpoint-1990/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-1990/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-1990/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-1990/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-1990/model-00006-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:95d189204f4a7c654e0b96823d05202ca6230116fe3450954291fbcf93c8b730
|
3 |
+
size 4614509080
|
checkpoint-1990/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-1990/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eb6baa4de886068848911efb0617c639ee659fcca4029c3e0bde70dad8a21d7d
|
3 |
+
size 13055369358
|
checkpoint-1990/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-1990/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:520a26338c9dc3d5685bd6a4d759b53fe390b7f335dc0e10e816597e74829bca
|
3 |
+
size 1064
|
checkpoint-1990/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-1990/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4a6292fe987426601ff3a282fbc93263d2cc3acea82d69c0e4d76a82ed072116
|
3 |
+
size 5432
|
checkpoint-995/config.json
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/OLMo-2-1124-7B-ace_Latn-coli-align/",
|
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-995/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-995/model-00001-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2547efa26c3267e2c7c061e57bf03b654c135c03f44c1881c768760a275e03cb
|
3 |
+
size 4950070472
|
checkpoint-995/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-995/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-995/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-995/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-995/model-00006-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:609696a30d973da38a435585655cb8292d615b2acebcde261f55896357df8607
|
3 |
+
size 4614509080
|
checkpoint-995/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-995/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6e36664a22d5c3db6436c4b50939e19a28e352e8d8e720f0536f2391c24d10a9
|
3 |
+
size 13055369358
|
checkpoint-995/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-995/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:45251de673384cd911a0c6ed2cbc5c9d2588a3d9a33cbd6184e2b9a739e772b4
|
3 |
+
size 1064
|
checkpoint-995/trainer_state.json
ADDED
@@ -0,0 +1,3512 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 995,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0020100502512562816,
|
13 |
+
"grad_norm": 19.729604721069336,
|
14 |
+
"learning_rate": 2.0000000000000003e-06,
|
15 |
+
"loss": 6.6152,
|
16 |
+
"step": 2
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.004020100502512563,
|
20 |
+
"grad_norm": 16.32933807373047,
|
21 |
+
"learning_rate": 4.000000000000001e-06,
|
22 |
+
"loss": 6.684,
|
23 |
+
"step": 4
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.006030150753768844,
|
27 |
+
"grad_norm": 9.964282989501953,
|
28 |
+
"learning_rate": 6e-06,
|
29 |
+
"loss": 6.4803,
|
30 |
+
"step": 6
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.008040201005025126,
|
34 |
+
"grad_norm": 9.893184661865234,
|
35 |
+
"learning_rate": 8.000000000000001e-06,
|
36 |
+
"loss": 5.9697,
|
37 |
+
"step": 8
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.010050251256281407,
|
41 |
+
"grad_norm": 7.443181037902832,
|
42 |
+
"learning_rate": 1e-05,
|
43 |
+
"loss": 5.7487,
|
44 |
+
"step": 10
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.012060301507537688,
|
48 |
+
"grad_norm": 5.485438346862793,
|
49 |
+
"learning_rate": 1.2e-05,
|
50 |
+
"loss": 5.6723,
|
51 |
+
"step": 12
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.01407035175879397,
|
55 |
+
"grad_norm": 4.975802421569824,
|
56 |
+
"learning_rate": 1.4000000000000001e-05,
|
57 |
+
"loss": 5.4903,
|
58 |
+
"step": 14
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.016080402010050253,
|
62 |
+
"grad_norm": 5.055726051330566,
|
63 |
+
"learning_rate": 1.6000000000000003e-05,
|
64 |
+
"loss": 5.2516,
|
65 |
+
"step": 16
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.018090452261306532,
|
69 |
+
"grad_norm": 4.720687389373779,
|
70 |
+
"learning_rate": 1.8e-05,
|
71 |
+
"loss": 5.0191,
|
72 |
+
"step": 18
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.020100502512562814,
|
76 |
+
"grad_norm": 3.445399761199951,
|
77 |
+
"learning_rate": 2e-05,
|
78 |
+
"loss": 4.8732,
|
79 |
+
"step": 20
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.022110552763819097,
|
83 |
+
"grad_norm": 3.533928155899048,
|
84 |
+
"learning_rate": 2.2000000000000003e-05,
|
85 |
+
"loss": 5.1519,
|
86 |
+
"step": 22
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.024120603015075376,
|
90 |
+
"grad_norm": 3.4936132431030273,
|
91 |
+
"learning_rate": 2.4e-05,
|
92 |
+
"loss": 4.9552,
|
93 |
+
"step": 24
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.02613065326633166,
|
97 |
+
"grad_norm": 3.037400722503662,
|
98 |
+
"learning_rate": 2.6000000000000002e-05,
|
99 |
+
"loss": 4.622,
|
100 |
+
"step": 26
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.02814070351758794,
|
104 |
+
"grad_norm": 4.790655136108398,
|
105 |
+
"learning_rate": 2.8000000000000003e-05,
|
106 |
+
"loss": 4.5671,
|
107 |
+
"step": 28
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.03015075376884422,
|
111 |
+
"grad_norm": 6.313861846923828,
|
112 |
+
"learning_rate": 3e-05,
|
113 |
+
"loss": 4.3285,
|
114 |
+
"step": 30
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.032160804020100506,
|
118 |
+
"grad_norm": 2.662900447845459,
|
119 |
+
"learning_rate": 3.2000000000000005e-05,
|
120 |
+
"loss": 4.2636,
|
121 |
+
"step": 32
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.034170854271356785,
|
125 |
+
"grad_norm": 2.5860118865966797,
|
126 |
+
"learning_rate": 3.4000000000000007e-05,
|
127 |
+
"loss": 4.3172,
|
128 |
+
"step": 34
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.036180904522613064,
|
132 |
+
"grad_norm": 2.960880994796753,
|
133 |
+
"learning_rate": 3.6e-05,
|
134 |
+
"loss": 3.9687,
|
135 |
+
"step": 36
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.03819095477386935,
|
139 |
+
"grad_norm": 3.4453978538513184,
|
140 |
+
"learning_rate": 3.8e-05,
|
141 |
+
"loss": 3.8505,
|
142 |
+
"step": 38
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.04020100502512563,
|
146 |
+
"grad_norm": 2.6721041202545166,
|
147 |
+
"learning_rate": 4e-05,
|
148 |
+
"loss": 3.971,
|
149 |
+
"step": 40
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.04221105527638191,
|
153 |
+
"grad_norm": 2.6484851837158203,
|
154 |
+
"learning_rate": 4.2e-05,
|
155 |
+
"loss": 3.8536,
|
156 |
+
"step": 42
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.044221105527638194,
|
160 |
+
"grad_norm": 6.354692459106445,
|
161 |
+
"learning_rate": 4.4000000000000006e-05,
|
162 |
+
"loss": 3.8466,
|
163 |
+
"step": 44
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.04623115577889447,
|
167 |
+
"grad_norm": 2.6469643115997314,
|
168 |
+
"learning_rate": 4.600000000000001e-05,
|
169 |
+
"loss": 3.5942,
|
170 |
+
"step": 46
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.04824120603015075,
|
174 |
+
"grad_norm": 2.7454721927642822,
|
175 |
+
"learning_rate": 4.8e-05,
|
176 |
+
"loss": 3.526,
|
177 |
+
"step": 48
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.05025125628140704,
|
181 |
+
"grad_norm": 2.445122480392456,
|
182 |
+
"learning_rate": 5e-05,
|
183 |
+
"loss": 3.5655,
|
184 |
+
"step": 50
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.05226130653266332,
|
188 |
+
"grad_norm": 2.458037853240967,
|
189 |
+
"learning_rate": 5.2000000000000004e-05,
|
190 |
+
"loss": 3.3741,
|
191 |
+
"step": 52
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.054271356783919596,
|
195 |
+
"grad_norm": 2.469712972640991,
|
196 |
+
"learning_rate": 5.4000000000000005e-05,
|
197 |
+
"loss": 3.4174,
|
198 |
+
"step": 54
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.05628140703517588,
|
202 |
+
"grad_norm": 2.475627899169922,
|
203 |
+
"learning_rate": 5.6000000000000006e-05,
|
204 |
+
"loss": 3.3984,
|
205 |
+
"step": 56
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.05829145728643216,
|
209 |
+
"grad_norm": 2.6965248584747314,
|
210 |
+
"learning_rate": 5.8e-05,
|
211 |
+
"loss": 3.5654,
|
212 |
+
"step": 58
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.06030150753768844,
|
216 |
+
"grad_norm": 2.3575079441070557,
|
217 |
+
"learning_rate": 6e-05,
|
218 |
+
"loss": 3.2454,
|
219 |
+
"step": 60
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.062311557788944726,
|
223 |
+
"grad_norm": 2.371737480163574,
|
224 |
+
"learning_rate": 6.2e-05,
|
225 |
+
"loss": 3.361,
|
226 |
+
"step": 62
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.06432160804020101,
|
230 |
+
"grad_norm": 2.144615650177002,
|
231 |
+
"learning_rate": 6.400000000000001e-05,
|
232 |
+
"loss": 3.2241,
|
233 |
+
"step": 64
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.06633165829145729,
|
237 |
+
"grad_norm": 1.9614999294281006,
|
238 |
+
"learning_rate": 6.6e-05,
|
239 |
+
"loss": 3.1206,
|
240 |
+
"step": 66
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.06834170854271357,
|
244 |
+
"grad_norm": 2.0626800060272217,
|
245 |
+
"learning_rate": 6.800000000000001e-05,
|
246 |
+
"loss": 3.3899,
|
247 |
+
"step": 68
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.07035175879396985,
|
251 |
+
"grad_norm": 2.669525623321533,
|
252 |
+
"learning_rate": 7e-05,
|
253 |
+
"loss": 3.2405,
|
254 |
+
"step": 70
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.07236180904522613,
|
258 |
+
"grad_norm": 2.620374917984009,
|
259 |
+
"learning_rate": 7.2e-05,
|
260 |
+
"loss": 3.3299,
|
261 |
+
"step": 72
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.0743718592964824,
|
265 |
+
"grad_norm": 2.2318763732910156,
|
266 |
+
"learning_rate": 7.4e-05,
|
267 |
+
"loss": 2.9798,
|
268 |
+
"step": 74
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.0763819095477387,
|
272 |
+
"grad_norm": 2.28938889503479,
|
273 |
+
"learning_rate": 7.6e-05,
|
274 |
+
"loss": 3.2799,
|
275 |
+
"step": 76
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.07839195979899498,
|
279 |
+
"grad_norm": 2.176002264022827,
|
280 |
+
"learning_rate": 7.800000000000001e-05,
|
281 |
+
"loss": 3.2466,
|
282 |
+
"step": 78
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.08040201005025126,
|
286 |
+
"grad_norm": 2.2421767711639404,
|
287 |
+
"learning_rate": 8e-05,
|
288 |
+
"loss": 3.0629,
|
289 |
+
"step": 80
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.08241206030150754,
|
293 |
+
"grad_norm": 2.7618038654327393,
|
294 |
+
"learning_rate": 8.2e-05,
|
295 |
+
"loss": 3.2719,
|
296 |
+
"step": 82
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.08442211055276382,
|
300 |
+
"grad_norm": 2.1031386852264404,
|
301 |
+
"learning_rate": 8.4e-05,
|
302 |
+
"loss": 3.0094,
|
303 |
+
"step": 84
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.0864321608040201,
|
307 |
+
"grad_norm": 2.1169002056121826,
|
308 |
+
"learning_rate": 8.6e-05,
|
309 |
+
"loss": 3.021,
|
310 |
+
"step": 86
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.08844221105527639,
|
314 |
+
"grad_norm": 2.4154305458068848,
|
315 |
+
"learning_rate": 8.800000000000001e-05,
|
316 |
+
"loss": 3.0685,
|
317 |
+
"step": 88
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.09045226130653267,
|
321 |
+
"grad_norm": 2.4994680881500244,
|
322 |
+
"learning_rate": 9e-05,
|
323 |
+
"loss": 2.8943,
|
324 |
+
"step": 90
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.09246231155778895,
|
328 |
+
"grad_norm": 3.4030494689941406,
|
329 |
+
"learning_rate": 9.200000000000001e-05,
|
330 |
+
"loss": 2.8389,
|
331 |
+
"step": 92
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.09447236180904522,
|
335 |
+
"grad_norm": 5.54694128036499,
|
336 |
+
"learning_rate": 9.4e-05,
|
337 |
+
"loss": 3.0157,
|
338 |
+
"step": 94
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.0964824120603015,
|
342 |
+
"grad_norm": 2.363124370574951,
|
343 |
+
"learning_rate": 9.6e-05,
|
344 |
+
"loss": 2.811,
|
345 |
+
"step": 96
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.09849246231155778,
|
349 |
+
"grad_norm": 2.0617117881774902,
|
350 |
+
"learning_rate": 9.8e-05,
|
351 |
+
"loss": 2.8819,
|
352 |
+
"step": 98
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.10050251256281408,
|
356 |
+
"grad_norm": 2.354085922241211,
|
357 |
+
"learning_rate": 0.0001,
|
358 |
+
"loss": 3.0962,
|
359 |
+
"step": 100
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.10251256281407035,
|
363 |
+
"grad_norm": 2.3361897468566895,
|
364 |
+
"learning_rate": 9.999972370327507e-05,
|
365 |
+
"loss": 3.0454,
|
366 |
+
"step": 102
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.10452261306532663,
|
370 |
+
"grad_norm": 2.2245845794677734,
|
371 |
+
"learning_rate": 9.999889481615387e-05,
|
372 |
+
"loss": 3.1027,
|
373 |
+
"step": 104
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.10653266331658291,
|
377 |
+
"grad_norm": 2.069746494293213,
|
378 |
+
"learning_rate": 9.999751334779716e-05,
|
379 |
+
"loss": 2.915,
|
380 |
+
"step": 106
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.10854271356783919,
|
384 |
+
"grad_norm": 2.3541088104248047,
|
385 |
+
"learning_rate": 9.999557931347273e-05,
|
386 |
+
"loss": 2.8328,
|
387 |
+
"step": 108
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.11055276381909548,
|
391 |
+
"grad_norm": 2.2207984924316406,
|
392 |
+
"learning_rate": 9.999309273455528e-05,
|
393 |
+
"loss": 3.0153,
|
394 |
+
"step": 110
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.11256281407035176,
|
398 |
+
"grad_norm": 2.1303670406341553,
|
399 |
+
"learning_rate": 9.999005363852618e-05,
|
400 |
+
"loss": 2.8649,
|
401 |
+
"step": 112
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.11457286432160804,
|
405 |
+
"grad_norm": 2.084247589111328,
|
406 |
+
"learning_rate": 9.998646205897309e-05,
|
407 |
+
"loss": 2.9326,
|
408 |
+
"step": 114
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.11658291457286432,
|
412 |
+
"grad_norm": 2.121018171310425,
|
413 |
+
"learning_rate": 9.998231803558968e-05,
|
414 |
+
"loss": 2.6179,
|
415 |
+
"step": 116
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.1185929648241206,
|
419 |
+
"grad_norm": 2.2490546703338623,
|
420 |
+
"learning_rate": 9.997762161417517e-05,
|
421 |
+
"loss": 3.0462,
|
422 |
+
"step": 118
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.12060301507537688,
|
426 |
+
"grad_norm": 1.9550148248672485,
|
427 |
+
"learning_rate": 9.997237284663379e-05,
|
428 |
+
"loss": 2.8662,
|
429 |
+
"step": 120
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.12261306532663317,
|
433 |
+
"grad_norm": 2.2603437900543213,
|
434 |
+
"learning_rate": 9.996657179097421e-05,
|
435 |
+
"loss": 2.7448,
|
436 |
+
"step": 122
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.12462311557788945,
|
440 |
+
"grad_norm": 1.897772192955017,
|
441 |
+
"learning_rate": 9.996021851130897e-05,
|
442 |
+
"loss": 2.8954,
|
443 |
+
"step": 124
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.12663316582914572,
|
447 |
+
"grad_norm": 2.1712026596069336,
|
448 |
+
"learning_rate": 9.995331307785365e-05,
|
449 |
+
"loss": 2.9001,
|
450 |
+
"step": 126
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.12864321608040202,
|
454 |
+
"grad_norm": 1.9912605285644531,
|
455 |
+
"learning_rate": 9.994585556692624e-05,
|
456 |
+
"loss": 3.0064,
|
457 |
+
"step": 128
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.1306532663316583,
|
461 |
+
"grad_norm": 2.094640016555786,
|
462 |
+
"learning_rate": 9.993784606094612e-05,
|
463 |
+
"loss": 2.6635,
|
464 |
+
"step": 130
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.13266331658291458,
|
468 |
+
"grad_norm": 2.1064651012420654,
|
469 |
+
"learning_rate": 9.992928464843334e-05,
|
470 |
+
"loss": 2.9224,
|
471 |
+
"step": 132
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.13467336683417086,
|
475 |
+
"grad_norm": 1.9782873392105103,
|
476 |
+
"learning_rate": 9.992017142400751e-05,
|
477 |
+
"loss": 2.8202,
|
478 |
+
"step": 134
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.13668341708542714,
|
482 |
+
"grad_norm": 2.189976692199707,
|
483 |
+
"learning_rate": 9.991050648838675e-05,
|
484 |
+
"loss": 2.7919,
|
485 |
+
"step": 136
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.13869346733668342,
|
489 |
+
"grad_norm": 2.0882322788238525,
|
490 |
+
"learning_rate": 9.990028994838673e-05,
|
491 |
+
"loss": 2.868,
|
492 |
+
"step": 138
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.1407035175879397,
|
496 |
+
"grad_norm": 1.8483355045318604,
|
497 |
+
"learning_rate": 9.988952191691925e-05,
|
498 |
+
"loss": 2.903,
|
499 |
+
"step": 140
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.14271356783919598,
|
503 |
+
"grad_norm": 2.1383628845214844,
|
504 |
+
"learning_rate": 9.987820251299122e-05,
|
505 |
+
"loss": 2.6627,
|
506 |
+
"step": 142
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.14472361809045226,
|
510 |
+
"grad_norm": 2.0356757640838623,
|
511 |
+
"learning_rate": 9.986633186170319e-05,
|
512 |
+
"loss": 2.813,
|
513 |
+
"step": 144
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.14673366834170853,
|
517 |
+
"grad_norm": 2.4072749614715576,
|
518 |
+
"learning_rate": 9.985391009424805e-05,
|
519 |
+
"loss": 2.7325,
|
520 |
+
"step": 146
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.1487437185929648,
|
524 |
+
"grad_norm": 1.8525023460388184,
|
525 |
+
"learning_rate": 9.984093734790956e-05,
|
526 |
+
"loss": 2.7092,
|
527 |
+
"step": 148
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.1507537688442211,
|
531 |
+
"grad_norm": 1.8999531269073486,
|
532 |
+
"learning_rate": 9.982741376606078e-05,
|
533 |
+
"loss": 2.8637,
|
534 |
+
"step": 150
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.1527638190954774,
|
538 |
+
"grad_norm": 2.2264699935913086,
|
539 |
+
"learning_rate": 9.981333949816259e-05,
|
540 |
+
"loss": 2.8068,
|
541 |
+
"step": 152
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.15477386934673368,
|
545 |
+
"grad_norm": 2.1256349086761475,
|
546 |
+
"learning_rate": 9.979871469976196e-05,
|
547 |
+
"loss": 2.5258,
|
548 |
+
"step": 154
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.15678391959798996,
|
552 |
+
"grad_norm": 1.8756039142608643,
|
553 |
+
"learning_rate": 9.978353953249022e-05,
|
554 |
+
"loss": 2.7572,
|
555 |
+
"step": 156
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.15879396984924624,
|
559 |
+
"grad_norm": 2.4083592891693115,
|
560 |
+
"learning_rate": 9.976781416406136e-05,
|
561 |
+
"loss": 2.564,
|
562 |
+
"step": 158
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.16080402010050251,
|
566 |
+
"grad_norm": 1.9118754863739014,
|
567 |
+
"learning_rate": 9.975153876827008e-05,
|
568 |
+
"loss": 2.7158,
|
569 |
+
"step": 160
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.1628140703517588,
|
573 |
+
"grad_norm": 2.419102907180786,
|
574 |
+
"learning_rate": 9.973471352498991e-05,
|
575 |
+
"loss": 2.9075,
|
576 |
+
"step": 162
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.16482412060301507,
|
580 |
+
"grad_norm": 2.2566428184509277,
|
581 |
+
"learning_rate": 9.971733862017126e-05,
|
582 |
+
"loss": 2.7698,
|
583 |
+
"step": 164
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.16683417085427135,
|
587 |
+
"grad_norm": 1.980230450630188,
|
588 |
+
"learning_rate": 9.969941424583926e-05,
|
589 |
+
"loss": 2.6454,
|
590 |
+
"step": 166
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.16884422110552763,
|
594 |
+
"grad_norm": 2.0920395851135254,
|
595 |
+
"learning_rate": 9.96809406000918e-05,
|
596 |
+
"loss": 2.8594,
|
597 |
+
"step": 168
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.1708542713567839,
|
601 |
+
"grad_norm": 1.8870232105255127,
|
602 |
+
"learning_rate": 9.966191788709716e-05,
|
603 |
+
"loss": 2.5967,
|
604 |
+
"step": 170
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.1728643216080402,
|
608 |
+
"grad_norm": 2.334998607635498,
|
609 |
+
"learning_rate": 9.964234631709187e-05,
|
610 |
+
"loss": 2.661,
|
611 |
+
"step": 172
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.1748743718592965,
|
615 |
+
"grad_norm": 1.9071625471115112,
|
616 |
+
"learning_rate": 9.962222610637837e-05,
|
617 |
+
"loss": 2.6161,
|
618 |
+
"step": 174
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.17688442211055277,
|
622 |
+
"grad_norm": 2.015760898590088,
|
623 |
+
"learning_rate": 9.960155747732259e-05,
|
624 |
+
"loss": 2.5681,
|
625 |
+
"step": 176
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.17889447236180905,
|
629 |
+
"grad_norm": 1.827253818511963,
|
630 |
+
"learning_rate": 9.958034065835151e-05,
|
631 |
+
"loss": 2.5538,
|
632 |
+
"step": 178
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.18090452261306533,
|
636 |
+
"grad_norm": 1.9388582706451416,
|
637 |
+
"learning_rate": 9.955857588395065e-05,
|
638 |
+
"loss": 2.7098,
|
639 |
+
"step": 180
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.1829145728643216,
|
643 |
+
"grad_norm": 2.1864373683929443,
|
644 |
+
"learning_rate": 9.95362633946614e-05,
|
645 |
+
"loss": 2.5615,
|
646 |
+
"step": 182
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.1849246231155779,
|
650 |
+
"grad_norm": 2.093961477279663,
|
651 |
+
"learning_rate": 9.951340343707852e-05,
|
652 |
+
"loss": 2.7367,
|
653 |
+
"step": 184
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.18693467336683417,
|
657 |
+
"grad_norm": 1.9437264204025269,
|
658 |
+
"learning_rate": 9.948999626384724e-05,
|
659 |
+
"loss": 2.7414,
|
660 |
+
"step": 186
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.18894472361809045,
|
664 |
+
"grad_norm": 1.8001607656478882,
|
665 |
+
"learning_rate": 9.946604213366057e-05,
|
666 |
+
"loss": 2.7595,
|
667 |
+
"step": 188
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.19095477386934673,
|
671 |
+
"grad_norm": 1.8736133575439453,
|
672 |
+
"learning_rate": 9.944154131125642e-05,
|
673 |
+
"loss": 2.2943,
|
674 |
+
"step": 190
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.192964824120603,
|
678 |
+
"grad_norm": 1.8067212104797363,
|
679 |
+
"learning_rate": 9.941649406741469e-05,
|
680 |
+
"loss": 2.6118,
|
681 |
+
"step": 192
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.19497487437185929,
|
685 |
+
"grad_norm": 1.9442073106765747,
|
686 |
+
"learning_rate": 9.939090067895422e-05,
|
687 |
+
"loss": 2.5651,
|
688 |
+
"step": 194
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.19698492462311556,
|
692 |
+
"grad_norm": 1.976509690284729,
|
693 |
+
"learning_rate": 9.936476142872979e-05,
|
694 |
+
"loss": 2.5084,
|
695 |
+
"step": 196
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.19899497487437187,
|
699 |
+
"grad_norm": 1.9604930877685547,
|
700 |
+
"learning_rate": 9.933807660562898e-05,
|
701 |
+
"loss": 2.3689,
|
702 |
+
"step": 198
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.20100502512562815,
|
706 |
+
"grad_norm": 2.081547975540161,
|
707 |
+
"learning_rate": 9.931084650456892e-05,
|
708 |
+
"loss": 2.7038,
|
709 |
+
"step": 200
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.20301507537688443,
|
713 |
+
"grad_norm": 2.1766066551208496,
|
714 |
+
"learning_rate": 9.928307142649316e-05,
|
715 |
+
"loss": 2.8203,
|
716 |
+
"step": 202
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.2050251256281407,
|
720 |
+
"grad_norm": 2.217263698577881,
|
721 |
+
"learning_rate": 9.925475167836821e-05,
|
722 |
+
"loss": 2.5522,
|
723 |
+
"step": 204
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.207035175879397,
|
727 |
+
"grad_norm": 1.8877842426300049,
|
728 |
+
"learning_rate": 9.922588757318021e-05,
|
729 |
+
"loss": 2.6209,
|
730 |
+
"step": 206
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.20904522613065327,
|
734 |
+
"grad_norm": 1.8535610437393188,
|
735 |
+
"learning_rate": 9.919647942993148e-05,
|
736 |
+
"loss": 2.7805,
|
737 |
+
"step": 208
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.21105527638190955,
|
741 |
+
"grad_norm": 1.9754009246826172,
|
742 |
+
"learning_rate": 9.916652757363698e-05,
|
743 |
+
"loss": 2.7363,
|
744 |
+
"step": 210
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.21306532663316582,
|
748 |
+
"grad_norm": 2.0575201511383057,
|
749 |
+
"learning_rate": 9.913603233532067e-05,
|
750 |
+
"loss": 2.5019,
|
751 |
+
"step": 212
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.2150753768844221,
|
755 |
+
"grad_norm": 1.8286898136138916,
|
756 |
+
"learning_rate": 9.910499405201195e-05,
|
757 |
+
"loss": 2.5019,
|
758 |
+
"step": 214
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.21708542713567838,
|
762 |
+
"grad_norm": 1.954950213432312,
|
763 |
+
"learning_rate": 9.907341306674185e-05,
|
764 |
+
"loss": 2.5339,
|
765 |
+
"step": 216
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.21909547738693466,
|
769 |
+
"grad_norm": 1.8942043781280518,
|
770 |
+
"learning_rate": 9.90412897285393e-05,
|
771 |
+
"loss": 2.5065,
|
772 |
+
"step": 218
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.22110552763819097,
|
776 |
+
"grad_norm": 2.165287494659424,
|
777 |
+
"learning_rate": 9.900862439242719e-05,
|
778 |
+
"loss": 2.596,
|
779 |
+
"step": 220
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.22311557788944725,
|
783 |
+
"grad_norm": 1.8702832460403442,
|
784 |
+
"learning_rate": 9.897541741941858e-05,
|
785 |
+
"loss": 2.6656,
|
786 |
+
"step": 222
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.22512562814070353,
|
790 |
+
"grad_norm": 1.745975375175476,
|
791 |
+
"learning_rate": 9.894166917651256e-05,
|
792 |
+
"loss": 2.4078,
|
793 |
+
"step": 224
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.2271356783919598,
|
797 |
+
"grad_norm": 9.129441261291504,
|
798 |
+
"learning_rate": 9.890738003669029e-05,
|
799 |
+
"loss": 2.4112,
|
800 |
+
"step": 226
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.22914572864321608,
|
804 |
+
"grad_norm": 2.1922168731689453,
|
805 |
+
"learning_rate": 9.887255037891086e-05,
|
806 |
+
"loss": 2.5331,
|
807 |
+
"step": 228
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.23115577889447236,
|
811 |
+
"grad_norm": 1.9028476476669312,
|
812 |
+
"learning_rate": 9.883718058810707e-05,
|
813 |
+
"loss": 2.4778,
|
814 |
+
"step": 230
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.23316582914572864,
|
818 |
+
"grad_norm": 1.9489747285842896,
|
819 |
+
"learning_rate": 9.880127105518122e-05,
|
820 |
+
"loss": 2.6777,
|
821 |
+
"step": 232
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.23517587939698492,
|
825 |
+
"grad_norm": 1.922662377357483,
|
826 |
+
"learning_rate": 9.876482217700078e-05,
|
827 |
+
"loss": 2.5236,
|
828 |
+
"step": 234
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.2371859296482412,
|
832 |
+
"grad_norm": 1.9473645687103271,
|
833 |
+
"learning_rate": 9.872783435639397e-05,
|
834 |
+
"loss": 2.4375,
|
835 |
+
"step": 236
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.23919597989949748,
|
839 |
+
"grad_norm": 1.835803747177124,
|
840 |
+
"learning_rate": 9.869030800214532e-05,
|
841 |
+
"loss": 2.6191,
|
842 |
+
"step": 238
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.24120603015075376,
|
846 |
+
"grad_norm": 2.013805627822876,
|
847 |
+
"learning_rate": 9.865224352899119e-05,
|
848 |
+
"loss": 2.5062,
|
849 |
+
"step": 240
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.24321608040201004,
|
853 |
+
"grad_norm": 1.8618221282958984,
|
854 |
+
"learning_rate": 9.861364135761517e-05,
|
855 |
+
"loss": 2.3637,
|
856 |
+
"step": 242
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.24522613065326634,
|
860 |
+
"grad_norm": 2.0696043968200684,
|
861 |
+
"learning_rate": 9.857450191464337e-05,
|
862 |
+
"loss": 2.3941,
|
863 |
+
"step": 244
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.24723618090452262,
|
867 |
+
"grad_norm": 1.835046410560608,
|
868 |
+
"learning_rate": 9.853482563263981e-05,
|
869 |
+
"loss": 2.9119,
|
870 |
+
"step": 246
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.2492462311557789,
|
874 |
+
"grad_norm": 1.9712692499160767,
|
875 |
+
"learning_rate": 9.849461295010156e-05,
|
876 |
+
"loss": 2.4119,
|
877 |
+
"step": 248
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.25125628140703515,
|
881 |
+
"grad_norm": 2.0356907844543457,
|
882 |
+
"learning_rate": 9.84538643114539e-05,
|
883 |
+
"loss": 2.4488,
|
884 |
+
"step": 250
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.25326633165829143,
|
888 |
+
"grad_norm": 1.983216643333435,
|
889 |
+
"learning_rate": 9.841258016704546e-05,
|
890 |
+
"loss": 2.5618,
|
891 |
+
"step": 252
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.2552763819095477,
|
895 |
+
"grad_norm": 1.8130682706832886,
|
896 |
+
"learning_rate": 9.837076097314319e-05,
|
897 |
+
"loss": 2.6361,
|
898 |
+
"step": 254
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.25728643216080405,
|
902 |
+
"grad_norm": 1.7342140674591064,
|
903 |
+
"learning_rate": 9.832840719192736e-05,
|
904 |
+
"loss": 2.3223,
|
905 |
+
"step": 256
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.2592964824120603,
|
909 |
+
"grad_norm": 1.9762102365493774,
|
910 |
+
"learning_rate": 9.82855192914864e-05,
|
911 |
+
"loss": 2.4629,
|
912 |
+
"step": 258
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.2613065326633166,
|
916 |
+
"grad_norm": 1.8401470184326172,
|
917 |
+
"learning_rate": 9.824209774581174e-05,
|
918 |
+
"loss": 2.5557,
|
919 |
+
"step": 260
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.2633165829145729,
|
923 |
+
"grad_norm": 1.8549468517303467,
|
924 |
+
"learning_rate": 9.819814303479267e-05,
|
925 |
+
"loss": 2.6337,
|
926 |
+
"step": 262
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.26532663316582916,
|
930 |
+
"grad_norm": 2.0843794345855713,
|
931 |
+
"learning_rate": 9.815365564421085e-05,
|
932 |
+
"loss": 2.3528,
|
933 |
+
"step": 264
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.26733668341708544,
|
937 |
+
"grad_norm": 1.893712043762207,
|
938 |
+
"learning_rate": 9.810863606573513e-05,
|
939 |
+
"loss": 2.5509,
|
940 |
+
"step": 266
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.2693467336683417,
|
944 |
+
"grad_norm": 2.0922601222991943,
|
945 |
+
"learning_rate": 9.806308479691595e-05,
|
946 |
+
"loss": 2.6126,
|
947 |
+
"step": 268
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.271356783919598,
|
951 |
+
"grad_norm": 1.8790444135665894,
|
952 |
+
"learning_rate": 9.801700234117999e-05,
|
953 |
+
"loss": 2.5569,
|
954 |
+
"step": 270
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.2733668341708543,
|
958 |
+
"grad_norm": 1.8532637357711792,
|
959 |
+
"learning_rate": 9.797038920782454e-05,
|
960 |
+
"loss": 2.4948,
|
961 |
+
"step": 272
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.27537688442211056,
|
965 |
+
"grad_norm": 1.8589162826538086,
|
966 |
+
"learning_rate": 9.792324591201179e-05,
|
967 |
+
"loss": 2.4739,
|
968 |
+
"step": 274
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.27738693467336684,
|
972 |
+
"grad_norm": 1.8177707195281982,
|
973 |
+
"learning_rate": 9.78755729747633e-05,
|
974 |
+
"loss": 2.4883,
|
975 |
+
"step": 276
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.2793969849246231,
|
979 |
+
"grad_norm": 1.9046951532363892,
|
980 |
+
"learning_rate": 9.782737092295413e-05,
|
981 |
+
"loss": 2.331,
|
982 |
+
"step": 278
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.2814070351758794,
|
986 |
+
"grad_norm": 1.8969510793685913,
|
987 |
+
"learning_rate": 9.777864028930705e-05,
|
988 |
+
"loss": 2.4818,
|
989 |
+
"step": 280
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.2834170854271357,
|
993 |
+
"grad_norm": 2.1642754077911377,
|
994 |
+
"learning_rate": 9.77293816123866e-05,
|
995 |
+
"loss": 2.3212,
|
996 |
+
"step": 282
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.28542713567839195,
|
1000 |
+
"grad_norm": 1.7480413913726807,
|
1001 |
+
"learning_rate": 9.767959543659326e-05,
|
1002 |
+
"loss": 2.5252,
|
1003 |
+
"step": 284
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.28743718592964823,
|
1007 |
+
"grad_norm": 2.0396628379821777,
|
1008 |
+
"learning_rate": 9.76292823121573e-05,
|
1009 |
+
"loss": 2.6501,
|
1010 |
+
"step": 286
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.2894472361809045,
|
1014 |
+
"grad_norm": 1.5687803030014038,
|
1015 |
+
"learning_rate": 9.757844279513281e-05,
|
1016 |
+
"loss": 2.3029,
|
1017 |
+
"step": 288
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.2914572864321608,
|
1021 |
+
"grad_norm": 1.9262704849243164,
|
1022 |
+
"learning_rate": 9.752707744739145e-05,
|
1023 |
+
"loss": 2.4645,
|
1024 |
+
"step": 290
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.29346733668341707,
|
1028 |
+
"grad_norm": 1.9408085346221924,
|
1029 |
+
"learning_rate": 9.747518683661631e-05,
|
1030 |
+
"loss": 2.3497,
|
1031 |
+
"step": 292
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.29547738693467335,
|
1035 |
+
"grad_norm": 1.78432297706604,
|
1036 |
+
"learning_rate": 9.742277153629564e-05,
|
1037 |
+
"loss": 2.2824,
|
1038 |
+
"step": 294
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.2974874371859296,
|
1042 |
+
"grad_norm": 2.070885181427002,
|
1043 |
+
"learning_rate": 9.736983212571646e-05,
|
1044 |
+
"loss": 2.5931,
|
1045 |
+
"step": 296
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.2994974874371859,
|
1049 |
+
"grad_norm": 1.657235026359558,
|
1050 |
+
"learning_rate": 9.731636918995821e-05,
|
1051 |
+
"loss": 2.4344,
|
1052 |
+
"step": 298
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.3015075376884422,
|
1056 |
+
"grad_norm": 1.8496333360671997,
|
1057 |
+
"learning_rate": 9.726238331988624e-05,
|
1058 |
+
"loss": 2.4043,
|
1059 |
+
"step": 300
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.3035175879396985,
|
1063 |
+
"grad_norm": 1.8144067525863647,
|
1064 |
+
"learning_rate": 9.720787511214533e-05,
|
1065 |
+
"loss": 2.5708,
|
1066 |
+
"step": 302
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.3055276381909548,
|
1070 |
+
"grad_norm": 1.875706434249878,
|
1071 |
+
"learning_rate": 9.715284516915303e-05,
|
1072 |
+
"loss": 2.387,
|
1073 |
+
"step": 304
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.3075376884422111,
|
1077 |
+
"grad_norm": 1.905147910118103,
|
1078 |
+
"learning_rate": 9.709729409909307e-05,
|
1079 |
+
"loss": 2.6459,
|
1080 |
+
"step": 306
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.30954773869346736,
|
1084 |
+
"grad_norm": 1.919798493385315,
|
1085 |
+
"learning_rate": 9.704122251590862e-05,
|
1086 |
+
"loss": 2.2947,
|
1087 |
+
"step": 308
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.31155778894472363,
|
1091 |
+
"grad_norm": 1.5951811075210571,
|
1092 |
+
"learning_rate": 9.698463103929542e-05,
|
1093 |
+
"loss": 2.3532,
|
1094 |
+
"step": 310
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.3135678391959799,
|
1098 |
+
"grad_norm": 1.6839174032211304,
|
1099 |
+
"learning_rate": 9.692752029469512e-05,
|
1100 |
+
"loss": 2.2152,
|
1101 |
+
"step": 312
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.3155778894472362,
|
1105 |
+
"grad_norm": 2.0012948513031006,
|
1106 |
+
"learning_rate": 9.686989091328813e-05,
|
1107 |
+
"loss": 2.3561,
|
1108 |
+
"step": 314
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.31758793969849247,
|
1112 |
+
"grad_norm": 1.8996232748031616,
|
1113 |
+
"learning_rate": 9.681174353198687e-05,
|
1114 |
+
"loss": 2.3638,
|
1115 |
+
"step": 316
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.31959798994974875,
|
1119 |
+
"grad_norm": 1.8173401355743408,
|
1120 |
+
"learning_rate": 9.675307879342854e-05,
|
1121 |
+
"loss": 2.2213,
|
1122 |
+
"step": 318
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.32160804020100503,
|
1126 |
+
"grad_norm": 1.6612550020217896,
|
1127 |
+
"learning_rate": 9.669389734596819e-05,
|
1128 |
+
"loss": 2.5352,
|
1129 |
+
"step": 320
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.3236180904522613,
|
1133 |
+
"grad_norm": 1.8817943334579468,
|
1134 |
+
"learning_rate": 9.663419984367139e-05,
|
1135 |
+
"loss": 2.5058,
|
1136 |
+
"step": 322
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.3256281407035176,
|
1140 |
+
"grad_norm": 2.1160693168640137,
|
1141 |
+
"learning_rate": 9.657398694630712e-05,
|
1142 |
+
"loss": 2.2973,
|
1143 |
+
"step": 324
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.32763819095477387,
|
1147 |
+
"grad_norm": 1.738549828529358,
|
1148 |
+
"learning_rate": 9.651325931934046e-05,
|
1149 |
+
"loss": 2.2865,
|
1150 |
+
"step": 326
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.32964824120603015,
|
1154 |
+
"grad_norm": 1.8293092250823975,
|
1155 |
+
"learning_rate": 9.645201763392513e-05,
|
1156 |
+
"loss": 2.1597,
|
1157 |
+
"step": 328
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.3316582914572864,
|
1161 |
+
"grad_norm": 1.9268925189971924,
|
1162 |
+
"learning_rate": 9.639026256689628e-05,
|
1163 |
+
"loss": 2.5048,
|
1164 |
+
"step": 330
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.3336683417085427,
|
1168 |
+
"grad_norm": 1.983359932899475,
|
1169 |
+
"learning_rate": 9.632799480076278e-05,
|
1170 |
+
"loss": 2.3261,
|
1171 |
+
"step": 332
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.335678391959799,
|
1175 |
+
"grad_norm": 1.717955470085144,
|
1176 |
+
"learning_rate": 9.626521502369984e-05,
|
1177 |
+
"loss": 2.6444,
|
1178 |
+
"step": 334
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.33768844221105526,
|
1182 |
+
"grad_norm": 1.836305856704712,
|
1183 |
+
"learning_rate": 9.620192392954132e-05,
|
1184 |
+
"loss": 2.4493,
|
1185 |
+
"step": 336
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.33969849246231154,
|
1189 |
+
"grad_norm": 1.8819546699523926,
|
1190 |
+
"learning_rate": 9.613812221777212e-05,
|
1191 |
+
"loss": 2.6608,
|
1192 |
+
"step": 338
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.3417085427135678,
|
1196 |
+
"grad_norm": 1.845680832862854,
|
1197 |
+
"learning_rate": 9.607381059352038e-05,
|
1198 |
+
"loss": 2.2059,
|
1199 |
+
"step": 340
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.3437185929648241,
|
1203 |
+
"grad_norm": 1.878606915473938,
|
1204 |
+
"learning_rate": 9.600898976754977e-05,
|
1205 |
+
"loss": 2.2733,
|
1206 |
+
"step": 342
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.3457286432160804,
|
1210 |
+
"grad_norm": 1.768790364265442,
|
1211 |
+
"learning_rate": 9.594366045625154e-05,
|
1212 |
+
"loss": 2.3773,
|
1213 |
+
"step": 344
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.34773869346733666,
|
1217 |
+
"grad_norm": 1.761987328529358,
|
1218 |
+
"learning_rate": 9.587782338163669e-05,
|
1219 |
+
"loss": 2.5148,
|
1220 |
+
"step": 346
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.349748743718593,
|
1224 |
+
"grad_norm": 1.6543912887573242,
|
1225 |
+
"learning_rate": 9.581147927132797e-05,
|
1226 |
+
"loss": 2.4609,
|
1227 |
+
"step": 348
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.35175879396984927,
|
1231 |
+
"grad_norm": 1.9013664722442627,
|
1232 |
+
"learning_rate": 9.574462885855174e-05,
|
1233 |
+
"loss": 2.121,
|
1234 |
+
"step": 350
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.35376884422110555,
|
1238 |
+
"grad_norm": 3.302755832672119,
|
1239 |
+
"learning_rate": 9.567727288213005e-05,
|
1240 |
+
"loss": 2.4353,
|
1241 |
+
"step": 352
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.35577889447236183,
|
1245 |
+
"grad_norm": 2.773200750350952,
|
1246 |
+
"learning_rate": 9.560941208647231e-05,
|
1247 |
+
"loss": 2.3111,
|
1248 |
+
"step": 354
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.3577889447236181,
|
1252 |
+
"grad_norm": 1.7840498685836792,
|
1253 |
+
"learning_rate": 9.554104722156716e-05,
|
1254 |
+
"loss": 2.5435,
|
1255 |
+
"step": 356
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.3597989949748744,
|
1259 |
+
"grad_norm": 1.8287582397460938,
|
1260 |
+
"learning_rate": 9.547217904297411e-05,
|
1261 |
+
"loss": 2.3461,
|
1262 |
+
"step": 358
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.36180904522613067,
|
1266 |
+
"grad_norm": 1.8139948844909668,
|
1267 |
+
"learning_rate": 9.540280831181525e-05,
|
1268 |
+
"loss": 2.3423,
|
1269 |
+
"step": 360
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.36381909547738694,
|
1273 |
+
"grad_norm": 1.8012893199920654,
|
1274 |
+
"learning_rate": 9.533293579476683e-05,
|
1275 |
+
"loss": 2.412,
|
1276 |
+
"step": 362
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.3658291457286432,
|
1280 |
+
"grad_norm": 1.8645695447921753,
|
1281 |
+
"learning_rate": 9.526256226405075e-05,
|
1282 |
+
"loss": 2.5261,
|
1283 |
+
"step": 364
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.3678391959798995,
|
1287 |
+
"grad_norm": 1.9607142210006714,
|
1288 |
+
"learning_rate": 9.519168849742604e-05,
|
1289 |
+
"loss": 2.6721,
|
1290 |
+
"step": 366
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.3698492462311558,
|
1294 |
+
"grad_norm": 1.772139549255371,
|
1295 |
+
"learning_rate": 9.512031527818028e-05,
|
1296 |
+
"loss": 2.3517,
|
1297 |
+
"step": 368
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.37185929648241206,
|
1301 |
+
"grad_norm": 1.8913545608520508,
|
1302 |
+
"learning_rate": 9.504844339512095e-05,
|
1303 |
+
"loss": 2.6095,
|
1304 |
+
"step": 370
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.37386934673366834,
|
1308 |
+
"grad_norm": 1.8451741933822632,
|
1309 |
+
"learning_rate": 9.497607364256672e-05,
|
1310 |
+
"loss": 2.5707,
|
1311 |
+
"step": 372
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.3758793969849246,
|
1315 |
+
"grad_norm": 1.8256680965423584,
|
1316 |
+
"learning_rate": 9.490320682033855e-05,
|
1317 |
+
"loss": 2.3579,
|
1318 |
+
"step": 374
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.3778894472361809,
|
1322 |
+
"grad_norm": 1.9581091403961182,
|
1323 |
+
"learning_rate": 9.482984373375105e-05,
|
1324 |
+
"loss": 2.5629,
|
1325 |
+
"step": 376
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.3798994974874372,
|
1329 |
+
"grad_norm": 1.998180627822876,
|
1330 |
+
"learning_rate": 9.475598519360344e-05,
|
1331 |
+
"loss": 2.3817,
|
1332 |
+
"step": 378
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.38190954773869346,
|
1336 |
+
"grad_norm": 1.7146025896072388,
|
1337 |
+
"learning_rate": 9.468163201617062e-05,
|
1338 |
+
"loss": 2.2208,
|
1339 |
+
"step": 380
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.38391959798994973,
|
1343 |
+
"grad_norm": 1.8821600675582886,
|
1344 |
+
"learning_rate": 9.460678502319418e-05,
|
1345 |
+
"loss": 2.4416,
|
1346 |
+
"step": 382
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.385929648241206,
|
1350 |
+
"grad_norm": 1.7585586309432983,
|
1351 |
+
"learning_rate": 9.453144504187327e-05,
|
1352 |
+
"loss": 2.3008,
|
1353 |
+
"step": 384
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.3879396984924623,
|
1357 |
+
"grad_norm": 1.6485331058502197,
|
1358 |
+
"learning_rate": 9.445561290485549e-05,
|
1359 |
+
"loss": 2.383,
|
1360 |
+
"step": 386
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.38994974874371857,
|
1364 |
+
"grad_norm": 1.9249005317687988,
|
1365 |
+
"learning_rate": 9.437928945022771e-05,
|
1366 |
+
"loss": 2.4204,
|
1367 |
+
"step": 388
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.39195979899497485,
|
1371 |
+
"grad_norm": 1.8952553272247314,
|
1372 |
+
"learning_rate": 9.430247552150673e-05,
|
1373 |
+
"loss": 2.2751,
|
1374 |
+
"step": 390
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.39396984924623113,
|
1378 |
+
"grad_norm": 2.2544572353363037,
|
1379 |
+
"learning_rate": 9.422517196763002e-05,
|
1380 |
+
"loss": 2.4784,
|
1381 |
+
"step": 392
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.39597989949748746,
|
1385 |
+
"grad_norm": 2.308283567428589,
|
1386 |
+
"learning_rate": 9.414737964294636e-05,
|
1387 |
+
"loss": 2.2052,
|
1388 |
+
"step": 394
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.39798994974874374,
|
1392 |
+
"grad_norm": 1.8085863590240479,
|
1393 |
+
"learning_rate": 9.40690994072063e-05,
|
1394 |
+
"loss": 2.2588,
|
1395 |
+
"step": 396
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.4,
|
1399 |
+
"grad_norm": 1.9807807207107544,
|
1400 |
+
"learning_rate": 9.399033212555275e-05,
|
1401 |
+
"loss": 2.2698,
|
1402 |
+
"step": 398
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.4020100502512563,
|
1406 |
+
"grad_norm": 1.6799061298370361,
|
1407 |
+
"learning_rate": 9.391107866851143e-05,
|
1408 |
+
"loss": 2.2507,
|
1409 |
+
"step": 400
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.4040201005025126,
|
1413 |
+
"grad_norm": 1.6821558475494385,
|
1414 |
+
"learning_rate": 9.383133991198112e-05,
|
1415 |
+
"loss": 2.386,
|
1416 |
+
"step": 402
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.40603015075376886,
|
1420 |
+
"grad_norm": 1.7488336563110352,
|
1421 |
+
"learning_rate": 9.375111673722414e-05,
|
1422 |
+
"loss": 2.7501,
|
1423 |
+
"step": 404
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.40804020100502514,
|
1427 |
+
"grad_norm": 1.7495909929275513,
|
1428 |
+
"learning_rate": 9.367041003085649e-05,
|
1429 |
+
"loss": 2.4578,
|
1430 |
+
"step": 406
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.4100502512562814,
|
1434 |
+
"grad_norm": 1.773022174835205,
|
1435 |
+
"learning_rate": 9.358922068483812e-05,
|
1436 |
+
"loss": 2.1896,
|
1437 |
+
"step": 408
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.4120603015075377,
|
1441 |
+
"grad_norm": 1.6720446348190308,
|
1442 |
+
"learning_rate": 9.350754959646306e-05,
|
1443 |
+
"loss": 2.2264,
|
1444 |
+
"step": 410
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.414070351758794,
|
1448 |
+
"grad_norm": 1.8488444089889526,
|
1449 |
+
"learning_rate": 9.342539766834946e-05,
|
1450 |
+
"loss": 2.5527,
|
1451 |
+
"step": 412
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.41608040201005025,
|
1455 |
+
"grad_norm": 1.7335339784622192,
|
1456 |
+
"learning_rate": 9.334276580842967e-05,
|
1457 |
+
"loss": 2.2894,
|
1458 |
+
"step": 414
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.41809045226130653,
|
1462 |
+
"grad_norm": 1.670088529586792,
|
1463 |
+
"learning_rate": 9.325965492994018e-05,
|
1464 |
+
"loss": 2.1557,
|
1465 |
+
"step": 416
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.4201005025125628,
|
1469 |
+
"grad_norm": 1.6430253982543945,
|
1470 |
+
"learning_rate": 9.317606595141154e-05,
|
1471 |
+
"loss": 2.2405,
|
1472 |
+
"step": 418
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.4221105527638191,
|
1476 |
+
"grad_norm": 1.7390164136886597,
|
1477 |
+
"learning_rate": 9.30919997966582e-05,
|
1478 |
+
"loss": 2.3486,
|
1479 |
+
"step": 420
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.42412060301507537,
|
1483 |
+
"grad_norm": 1.7880635261535645,
|
1484 |
+
"learning_rate": 9.300745739476829e-05,
|
1485 |
+
"loss": 2.2626,
|
1486 |
+
"step": 422
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.42613065326633165,
|
1490 |
+
"grad_norm": 1.7333531379699707,
|
1491 |
+
"learning_rate": 9.292243968009331e-05,
|
1492 |
+
"loss": 2.2424,
|
1493 |
+
"step": 424
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.42814070351758793,
|
1497 |
+
"grad_norm": 1.6569937467575073,
|
1498 |
+
"learning_rate": 9.283694759223796e-05,
|
1499 |
+
"loss": 2.1534,
|
1500 |
+
"step": 426
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.4301507537688442,
|
1504 |
+
"grad_norm": 1.7097984552383423,
|
1505 |
+
"learning_rate": 9.275098207604957e-05,
|
1506 |
+
"loss": 2.2569,
|
1507 |
+
"step": 428
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.4321608040201005,
|
1511 |
+
"grad_norm": 1.7049428224563599,
|
1512 |
+
"learning_rate": 9.266454408160779e-05,
|
1513 |
+
"loss": 2.4531,
|
1514 |
+
"step": 430
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.43417085427135677,
|
1518 |
+
"grad_norm": 1.5478094816207886,
|
1519 |
+
"learning_rate": 9.257763456421398e-05,
|
1520 |
+
"loss": 2.2312,
|
1521 |
+
"step": 432
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.43618090452261304,
|
1525 |
+
"grad_norm": 1.706602692604065,
|
1526 |
+
"learning_rate": 9.249025448438076e-05,
|
1527 |
+
"loss": 2.4432,
|
1528 |
+
"step": 434
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.4381909547738693,
|
1532 |
+
"grad_norm": 1.701011300086975,
|
1533 |
+
"learning_rate": 9.24024048078213e-05,
|
1534 |
+
"loss": 2.1473,
|
1535 |
+
"step": 436
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.4402010050251256,
|
1539 |
+
"grad_norm": 1.7655497789382935,
|
1540 |
+
"learning_rate": 9.231408650543874e-05,
|
1541 |
+
"loss": 2.433,
|
1542 |
+
"step": 438
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.44221105527638194,
|
1546 |
+
"grad_norm": 1.853971004486084,
|
1547 |
+
"learning_rate": 9.22253005533154e-05,
|
1548 |
+
"loss": 2.3029,
|
1549 |
+
"step": 440
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.4442211055276382,
|
1553 |
+
"grad_norm": 1.8369559049606323,
|
1554 |
+
"learning_rate": 9.213604793270196e-05,
|
1555 |
+
"loss": 2.1837,
|
1556 |
+
"step": 442
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.4462311557788945,
|
1560 |
+
"grad_norm": 1.6373860836029053,
|
1561 |
+
"learning_rate": 9.204632963000671e-05,
|
1562 |
+
"loss": 2.4237,
|
1563 |
+
"step": 444
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.4482412060301508,
|
1567 |
+
"grad_norm": 1.7693603038787842,
|
1568 |
+
"learning_rate": 9.195614663678458e-05,
|
1569 |
+
"loss": 2.4229,
|
1570 |
+
"step": 446
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.45025125628140705,
|
1574 |
+
"grad_norm": 1.6722673177719116,
|
1575 |
+
"learning_rate": 9.186549994972618e-05,
|
1576 |
+
"loss": 2.3788,
|
1577 |
+
"step": 448
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.45226130653266333,
|
1581 |
+
"grad_norm": 1.6546918153762817,
|
1582 |
+
"learning_rate": 9.177439057064683e-05,
|
1583 |
+
"loss": 2.2079,
|
1584 |
+
"step": 450
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.4542713567839196,
|
1588 |
+
"grad_norm": 1.8333224058151245,
|
1589 |
+
"learning_rate": 9.168281950647545e-05,
|
1590 |
+
"loss": 2.5018,
|
1591 |
+
"step": 452
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.4562814070351759,
|
1595 |
+
"grad_norm": 1.7532380819320679,
|
1596 |
+
"learning_rate": 9.159078776924346e-05,
|
1597 |
+
"loss": 2.0344,
|
1598 |
+
"step": 454
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.45829145728643217,
|
1602 |
+
"grad_norm": 1.647209644317627,
|
1603 |
+
"learning_rate": 9.149829637607353e-05,
|
1604 |
+
"loss": 2.2324,
|
1605 |
+
"step": 456
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.46030150753768845,
|
1609 |
+
"grad_norm": 1.6968568563461304,
|
1610 |
+
"learning_rate": 9.140534634916846e-05,
|
1611 |
+
"loss": 2.1635,
|
1612 |
+
"step": 458
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.4623115577889447,
|
1616 |
+
"grad_norm": 1.6668813228607178,
|
1617 |
+
"learning_rate": 9.131193871579975e-05,
|
1618 |
+
"loss": 2.334,
|
1619 |
+
"step": 460
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.464321608040201,
|
1623 |
+
"grad_norm": 1.6174511909484863,
|
1624 |
+
"learning_rate": 9.121807450829632e-05,
|
1625 |
+
"loss": 2.1475,
|
1626 |
+
"step": 462
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.4663316582914573,
|
1630 |
+
"grad_norm": 1.8468537330627441,
|
1631 |
+
"learning_rate": 9.112375476403312e-05,
|
1632 |
+
"loss": 2.2984,
|
1633 |
+
"step": 464
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.46834170854271356,
|
1637 |
+
"grad_norm": 1.7187474966049194,
|
1638 |
+
"learning_rate": 9.102898052541958e-05,
|
1639 |
+
"loss": 2.4139,
|
1640 |
+
"step": 466
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.47035175879396984,
|
1644 |
+
"grad_norm": 1.7762575149536133,
|
1645 |
+
"learning_rate": 9.093375283988819e-05,
|
1646 |
+
"loss": 2.1496,
|
1647 |
+
"step": 468
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.4723618090452261,
|
1651 |
+
"grad_norm": 1.9211578369140625,
|
1652 |
+
"learning_rate": 9.083807275988284e-05,
|
1653 |
+
"loss": 2.1667,
|
1654 |
+
"step": 470
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.4743718592964824,
|
1658 |
+
"grad_norm": 3.2748539447784424,
|
1659 |
+
"learning_rate": 9.074194134284726e-05,
|
1660 |
+
"loss": 2.2991,
|
1661 |
+
"step": 472
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.4763819095477387,
|
1665 |
+
"grad_norm": 1.751917839050293,
|
1666 |
+
"learning_rate": 9.064535965121324e-05,
|
1667 |
+
"loss": 2.2903,
|
1668 |
+
"step": 474
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.47839195979899496,
|
1672 |
+
"grad_norm": 1.7564281225204468,
|
1673 |
+
"learning_rate": 9.054832875238903e-05,
|
1674 |
+
"loss": 2.5954,
|
1675 |
+
"step": 476
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.48040201005025124,
|
1679 |
+
"grad_norm": 1.6731312274932861,
|
1680 |
+
"learning_rate": 9.045084971874738e-05,
|
1681 |
+
"loss": 2.3209,
|
1682 |
+
"step": 478
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.4824120603015075,
|
1686 |
+
"grad_norm": 2.067354679107666,
|
1687 |
+
"learning_rate": 9.035292362761381e-05,
|
1688 |
+
"loss": 2.1253,
|
1689 |
+
"step": 480
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.4844221105527638,
|
1693 |
+
"grad_norm": 1.6500976085662842,
|
1694 |
+
"learning_rate": 9.025455156125466e-05,
|
1695 |
+
"loss": 2.0942,
|
1696 |
+
"step": 482
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.4864321608040201,
|
1700 |
+
"grad_norm": 1.7590264081954956,
|
1701 |
+
"learning_rate": 9.015573460686509e-05,
|
1702 |
+
"loss": 2.3827,
|
1703 |
+
"step": 484
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.4884422110552764,
|
1707 |
+
"grad_norm": 1.8388062715530396,
|
1708 |
+
"learning_rate": 9.005647385655718e-05,
|
1709 |
+
"loss": 2.2311,
|
1710 |
+
"step": 486
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.4904522613065327,
|
1714 |
+
"grad_norm": 1.7108007669448853,
|
1715 |
+
"learning_rate": 8.995677040734769e-05,
|
1716 |
+
"loss": 2.1734,
|
1717 |
+
"step": 488
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.49246231155778897,
|
1721 |
+
"grad_norm": 2.4704267978668213,
|
1722 |
+
"learning_rate": 8.985662536114613e-05,
|
1723 |
+
"loss": 2.2604,
|
1724 |
+
"step": 490
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.49447236180904525,
|
1728 |
+
"grad_norm": 1.7523339986801147,
|
1729 |
+
"learning_rate": 8.97560398247424e-05,
|
1730 |
+
"loss": 2.3831,
|
1731 |
+
"step": 492
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.4964824120603015,
|
1735 |
+
"grad_norm": 1.5778342485427856,
|
1736 |
+
"learning_rate": 8.965501490979467e-05,
|
1737 |
+
"loss": 2.118,
|
1738 |
+
"step": 494
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.4984924623115578,
|
1742 |
+
"grad_norm": 1.5618497133255005,
|
1743 |
+
"learning_rate": 8.955355173281708e-05,
|
1744 |
+
"loss": 2.3317,
|
1745 |
+
"step": 496
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.5005025125628141,
|
1749 |
+
"grad_norm": 2.049302339553833,
|
1750 |
+
"learning_rate": 8.945165141516734e-05,
|
1751 |
+
"loss": 2.2127,
|
1752 |
+
"step": 498
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.5025125628140703,
|
1756 |
+
"grad_norm": 2.8442394733428955,
|
1757 |
+
"learning_rate": 8.934931508303445e-05,
|
1758 |
+
"loss": 2.1562,
|
1759 |
+
"step": 500
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.5045226130653266,
|
1763 |
+
"grad_norm": 1.7337098121643066,
|
1764 |
+
"learning_rate": 8.924654386742613e-05,
|
1765 |
+
"loss": 2.2541,
|
1766 |
+
"step": 502
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.5065326633165829,
|
1770 |
+
"grad_norm": 1.6087921857833862,
|
1771 |
+
"learning_rate": 8.914333890415639e-05,
|
1772 |
+
"loss": 2.3858,
|
1773 |
+
"step": 504
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.5085427135678392,
|
1777 |
+
"grad_norm": 1.7101848125457764,
|
1778 |
+
"learning_rate": 8.903970133383297e-05,
|
1779 |
+
"loss": 2.0366,
|
1780 |
+
"step": 506
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.5105527638190954,
|
1784 |
+
"grad_norm": 1.640261173248291,
|
1785 |
+
"learning_rate": 8.89356323018447e-05,
|
1786 |
+
"loss": 2.3109,
|
1787 |
+
"step": 508
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.5125628140703518,
|
1791 |
+
"grad_norm": 1.7887450456619263,
|
1792 |
+
"learning_rate": 8.883113295834892e-05,
|
1793 |
+
"loss": 2.23,
|
1794 |
+
"step": 510
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.5145728643216081,
|
1798 |
+
"grad_norm": 1.772544503211975,
|
1799 |
+
"learning_rate": 8.872620445825868e-05,
|
1800 |
+
"loss": 2.3887,
|
1801 |
+
"step": 512
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.5165829145728643,
|
1805 |
+
"grad_norm": 1.6293214559555054,
|
1806 |
+
"learning_rate": 8.862084796122998e-05,
|
1807 |
+
"loss": 2.2669,
|
1808 |
+
"step": 514
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.5185929648241207,
|
1812 |
+
"grad_norm": 1.9295259714126587,
|
1813 |
+
"learning_rate": 8.851506463164907e-05,
|
1814 |
+
"loss": 2.4984,
|
1815 |
+
"step": 516
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.5206030150753769,
|
1819 |
+
"grad_norm": 1.5557610988616943,
|
1820 |
+
"learning_rate": 8.84088556386194e-05,
|
1821 |
+
"loss": 2.2621,
|
1822 |
+
"step": 518
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.5226130653266332,
|
1826 |
+
"grad_norm": 1.9299404621124268,
|
1827 |
+
"learning_rate": 8.83022221559489e-05,
|
1828 |
+
"loss": 2.5963,
|
1829 |
+
"step": 520
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.5246231155778894,
|
1833 |
+
"grad_norm": 1.7403899431228638,
|
1834 |
+
"learning_rate": 8.819516536213683e-05,
|
1835 |
+
"loss": 2.261,
|
1836 |
+
"step": 522
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.5266331658291458,
|
1840 |
+
"grad_norm": 1.6017705202102661,
|
1841 |
+
"learning_rate": 8.808768644036085e-05,
|
1842 |
+
"loss": 2.1345,
|
1843 |
+
"step": 524
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.528643216080402,
|
1847 |
+
"grad_norm": 1.560952067375183,
|
1848 |
+
"learning_rate": 8.797978657846391e-05,
|
1849 |
+
"loss": 2.1304,
|
1850 |
+
"step": 526
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.5306532663316583,
|
1854 |
+
"grad_norm": 1.63511061668396,
|
1855 |
+
"learning_rate": 8.787146696894118e-05,
|
1856 |
+
"loss": 2.2639,
|
1857 |
+
"step": 528
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.5326633165829145,
|
1861 |
+
"grad_norm": 1.6902211904525757,
|
1862 |
+
"learning_rate": 8.776272880892675e-05,
|
1863 |
+
"loss": 2.4526,
|
1864 |
+
"step": 530
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.5346733668341709,
|
1868 |
+
"grad_norm": 2.2787492275238037,
|
1869 |
+
"learning_rate": 8.765357330018056e-05,
|
1870 |
+
"loss": 2.1836,
|
1871 |
+
"step": 532
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.5366834170854271,
|
1875 |
+
"grad_norm": 1.6377997398376465,
|
1876 |
+
"learning_rate": 8.754400164907497e-05,
|
1877 |
+
"loss": 2.1207,
|
1878 |
+
"step": 534
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 0.5386934673366834,
|
1882 |
+
"grad_norm": 1.829947829246521,
|
1883 |
+
"learning_rate": 8.74340150665815e-05,
|
1884 |
+
"loss": 2.4133,
|
1885 |
+
"step": 536
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.5407035175879397,
|
1889 |
+
"grad_norm": 1.8088699579238892,
|
1890 |
+
"learning_rate": 8.732361476825752e-05,
|
1891 |
+
"loss": 2.4477,
|
1892 |
+
"step": 538
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.542713567839196,
|
1896 |
+
"grad_norm": 1.8463410139083862,
|
1897 |
+
"learning_rate": 8.721280197423258e-05,
|
1898 |
+
"loss": 2.5268,
|
1899 |
+
"step": 540
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.5447236180904522,
|
1903 |
+
"grad_norm": 1.7526369094848633,
|
1904 |
+
"learning_rate": 8.710157790919522e-05,
|
1905 |
+
"loss": 2.2297,
|
1906 |
+
"step": 542
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 0.5467336683417086,
|
1910 |
+
"grad_norm": 1.548508882522583,
|
1911 |
+
"learning_rate": 8.69899438023792e-05,
|
1912 |
+
"loss": 2.3638,
|
1913 |
+
"step": 544
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.5487437185929648,
|
1917 |
+
"grad_norm": 1.6327900886535645,
|
1918 |
+
"learning_rate": 8.687790088755008e-05,
|
1919 |
+
"loss": 2.5126,
|
1920 |
+
"step": 546
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 0.5507537688442211,
|
1924 |
+
"grad_norm": 4.006368160247803,
|
1925 |
+
"learning_rate": 8.676545040299145e-05,
|
1926 |
+
"loss": 2.4828,
|
1927 |
+
"step": 548
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 0.5527638190954773,
|
1931 |
+
"grad_norm": 1.6274868249893188,
|
1932 |
+
"learning_rate": 8.665259359149132e-05,
|
1933 |
+
"loss": 2.2662,
|
1934 |
+
"step": 550
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.5547738693467337,
|
1938 |
+
"grad_norm": 1.686354398727417,
|
1939 |
+
"learning_rate": 8.653933170032842e-05,
|
1940 |
+
"loss": 2.4134,
|
1941 |
+
"step": 552
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.5567839195979899,
|
1945 |
+
"grad_norm": 1.62911856174469,
|
1946 |
+
"learning_rate": 8.642566598125831e-05,
|
1947 |
+
"loss": 2.275,
|
1948 |
+
"step": 554
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 0.5587939698492462,
|
1952 |
+
"grad_norm": 1.634544849395752,
|
1953 |
+
"learning_rate": 8.631159769049965e-05,
|
1954 |
+
"loss": 2.2874,
|
1955 |
+
"step": 556
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.5608040201005026,
|
1959 |
+
"grad_norm": 1.5775830745697021,
|
1960 |
+
"learning_rate": 8.619712808872024e-05,
|
1961 |
+
"loss": 2.2704,
|
1962 |
+
"step": 558
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 0.5628140703517588,
|
1966 |
+
"grad_norm": 1.618634581565857,
|
1967 |
+
"learning_rate": 8.60822584410231e-05,
|
1968 |
+
"loss": 2.545,
|
1969 |
+
"step": 560
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.5648241206030151,
|
1973 |
+
"grad_norm": 1.692204475402832,
|
1974 |
+
"learning_rate": 8.596699001693255e-05,
|
1975 |
+
"loss": 2.2853,
|
1976 |
+
"step": 562
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.5668341708542713,
|
1980 |
+
"grad_norm": 1.717124342918396,
|
1981 |
+
"learning_rate": 8.585132409038013e-05,
|
1982 |
+
"loss": 2.1552,
|
1983 |
+
"step": 564
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.5688442211055277,
|
1987 |
+
"grad_norm": 1.6397979259490967,
|
1988 |
+
"learning_rate": 8.573526193969046e-05,
|
1989 |
+
"loss": 2.3056,
|
1990 |
+
"step": 566
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 0.5708542713567839,
|
1994 |
+
"grad_norm": 1.6189571619033813,
|
1995 |
+
"learning_rate": 8.561880484756725e-05,
|
1996 |
+
"loss": 2.1406,
|
1997 |
+
"step": 568
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.5728643216080402,
|
2001 |
+
"grad_norm": 1.9604424238204956,
|
2002 |
+
"learning_rate": 8.550195410107902e-05,
|
2003 |
+
"loss": 2.4183,
|
2004 |
+
"step": 570
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.5748743718592965,
|
2008 |
+
"grad_norm": 1.6223558187484741,
|
2009 |
+
"learning_rate": 8.538471099164493e-05,
|
2010 |
+
"loss": 2.1032,
|
2011 |
+
"step": 572
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.5768844221105528,
|
2015 |
+
"grad_norm": 1.8475818634033203,
|
2016 |
+
"learning_rate": 8.526707681502044e-05,
|
2017 |
+
"loss": 2.1361,
|
2018 |
+
"step": 574
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.578894472361809,
|
2022 |
+
"grad_norm": 1.6998199224472046,
|
2023 |
+
"learning_rate": 8.51490528712831e-05,
|
2024 |
+
"loss": 2.0701,
|
2025 |
+
"step": 576
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.5809045226130654,
|
2029 |
+
"grad_norm": 1.5956889390945435,
|
2030 |
+
"learning_rate": 8.503064046481803e-05,
|
2031 |
+
"loss": 2.3293,
|
2032 |
+
"step": 578
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 0.5829145728643216,
|
2036 |
+
"grad_norm": 1.544945478439331,
|
2037 |
+
"learning_rate": 8.491184090430364e-05,
|
2038 |
+
"loss": 2.0934,
|
2039 |
+
"step": 580
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.5849246231155779,
|
2043 |
+
"grad_norm": 1.5254535675048828,
|
2044 |
+
"learning_rate": 8.479265550269714e-05,
|
2045 |
+
"loss": 1.9323,
|
2046 |
+
"step": 582
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 0.5869346733668341,
|
2050 |
+
"grad_norm": 1.6815849542617798,
|
2051 |
+
"learning_rate": 8.467308557721996e-05,
|
2052 |
+
"loss": 2.2834,
|
2053 |
+
"step": 584
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.5889447236180905,
|
2057 |
+
"grad_norm": 1.7338416576385498,
|
2058 |
+
"learning_rate": 8.455313244934324e-05,
|
2059 |
+
"loss": 2.2117,
|
2060 |
+
"step": 586
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.5909547738693467,
|
2064 |
+
"grad_norm": 1.6180495023727417,
|
2065 |
+
"learning_rate": 8.443279744477324e-05,
|
2066 |
+
"loss": 2.1526,
|
2067 |
+
"step": 588
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.592964824120603,
|
2071 |
+
"grad_norm": 1.6239418983459473,
|
2072 |
+
"learning_rate": 8.43120818934367e-05,
|
2073 |
+
"loss": 2.1047,
|
2074 |
+
"step": 590
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 0.5949748743718593,
|
2078 |
+
"grad_norm": 1.6448568105697632,
|
2079 |
+
"learning_rate": 8.419098712946601e-05,
|
2080 |
+
"loss": 2.0582,
|
2081 |
+
"step": 592
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.5969849246231156,
|
2085 |
+
"grad_norm": 1.722649097442627,
|
2086 |
+
"learning_rate": 8.406951449118469e-05,
|
2087 |
+
"loss": 1.9733,
|
2088 |
+
"step": 594
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 0.5989949748743718,
|
2092 |
+
"grad_norm": 1.7211109399795532,
|
2093 |
+
"learning_rate": 8.394766532109242e-05,
|
2094 |
+
"loss": 2.2033,
|
2095 |
+
"step": 596
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.6010050251256281,
|
2099 |
+
"grad_norm": 1.55821692943573,
|
2100 |
+
"learning_rate": 8.382544096585027e-05,
|
2101 |
+
"loss": 1.8462,
|
2102 |
+
"step": 598
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.6030150753768844,
|
2106 |
+
"grad_norm": 1.5059350728988647,
|
2107 |
+
"learning_rate": 8.370284277626577e-05,
|
2108 |
+
"loss": 2.0388,
|
2109 |
+
"step": 600
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.6050251256281407,
|
2113 |
+
"grad_norm": 1.7469459772109985,
|
2114 |
+
"learning_rate": 8.357987210727808e-05,
|
2115 |
+
"loss": 2.367,
|
2116 |
+
"step": 602
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 0.607035175879397,
|
2120 |
+
"grad_norm": 1.6946009397506714,
|
2121 |
+
"learning_rate": 8.345653031794292e-05,
|
2122 |
+
"loss": 2.3654,
|
2123 |
+
"step": 604
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 0.6090452261306533,
|
2127 |
+
"grad_norm": 2.0396924018859863,
|
2128 |
+
"learning_rate": 8.333281877141758e-05,
|
2129 |
+
"loss": 2.2726,
|
2130 |
+
"step": 606
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 0.6110552763819096,
|
2134 |
+
"grad_norm": 1.6228737831115723,
|
2135 |
+
"learning_rate": 8.320873883494585e-05,
|
2136 |
+
"loss": 2.2077,
|
2137 |
+
"step": 608
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 0.6130653266331658,
|
2141 |
+
"grad_norm": 1.6517311334609985,
|
2142 |
+
"learning_rate": 8.308429187984297e-05,
|
2143 |
+
"loss": 2.2134,
|
2144 |
+
"step": 610
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.6150753768844222,
|
2148 |
+
"grad_norm": 1.6150524616241455,
|
2149 |
+
"learning_rate": 8.295947928148036e-05,
|
2150 |
+
"loss": 2.1454,
|
2151 |
+
"step": 612
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.6170854271356784,
|
2155 |
+
"grad_norm": 1.5641722679138184,
|
2156 |
+
"learning_rate": 8.283430241927052e-05,
|
2157 |
+
"loss": 1.9578,
|
2158 |
+
"step": 614
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 0.6190954773869347,
|
2162 |
+
"grad_norm": 1.668264389038086,
|
2163 |
+
"learning_rate": 8.270876267665173e-05,
|
2164 |
+
"loss": 2.1463,
|
2165 |
+
"step": 616
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 0.6211055276381909,
|
2169 |
+
"grad_norm": 1.6941081285476685,
|
2170 |
+
"learning_rate": 8.258286144107276e-05,
|
2171 |
+
"loss": 2.2608,
|
2172 |
+
"step": 618
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 0.6231155778894473,
|
2176 |
+
"grad_norm": 1.9184767007827759,
|
2177 |
+
"learning_rate": 8.24566001039776e-05,
|
2178 |
+
"loss": 2.2404,
|
2179 |
+
"step": 620
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 0.6251256281407035,
|
2183 |
+
"grad_norm": 1.5730127096176147,
|
2184 |
+
"learning_rate": 8.232998006078997e-05,
|
2185 |
+
"loss": 2.1935,
|
2186 |
+
"step": 622
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.6271356783919598,
|
2190 |
+
"grad_norm": 1.4828630685806274,
|
2191 |
+
"learning_rate": 8.220300271089807e-05,
|
2192 |
+
"loss": 2.2226,
|
2193 |
+
"step": 624
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.629145728643216,
|
2197 |
+
"grad_norm": 1.5179678201675415,
|
2198 |
+
"learning_rate": 8.207566945763885e-05,
|
2199 |
+
"loss": 2.0261,
|
2200 |
+
"step": 626
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 0.6311557788944724,
|
2204 |
+
"grad_norm": 1.4846012592315674,
|
2205 |
+
"learning_rate": 8.19479817082828e-05,
|
2206 |
+
"loss": 2.1515,
|
2207 |
+
"step": 628
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 0.6331658291457286,
|
2211 |
+
"grad_norm": 1.6346242427825928,
|
2212 |
+
"learning_rate": 8.181994087401819e-05,
|
2213 |
+
"loss": 2.0147,
|
2214 |
+
"step": 630
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 0.6351758793969849,
|
2218 |
+
"grad_norm": 1.5853772163391113,
|
2219 |
+
"learning_rate": 8.169154836993551e-05,
|
2220 |
+
"loss": 2.1816,
|
2221 |
+
"step": 632
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 0.6371859296482412,
|
2225 |
+
"grad_norm": 1.573282241821289,
|
2226 |
+
"learning_rate": 8.156280561501195e-05,
|
2227 |
+
"loss": 2.0802,
|
2228 |
+
"step": 634
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 0.6391959798994975,
|
2232 |
+
"grad_norm": 1.5579333305358887,
|
2233 |
+
"learning_rate": 8.143371403209554e-05,
|
2234 |
+
"loss": 2.1474,
|
2235 |
+
"step": 636
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 0.6412060301507537,
|
2239 |
+
"grad_norm": 1.6341716051101685,
|
2240 |
+
"learning_rate": 8.130427504788955e-05,
|
2241 |
+
"loss": 2.293,
|
2242 |
+
"step": 638
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 0.6432160804020101,
|
2246 |
+
"grad_norm": 1.6196293830871582,
|
2247 |
+
"learning_rate": 8.117449009293668e-05,
|
2248 |
+
"loss": 2.0744,
|
2249 |
+
"step": 640
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 0.6452261306532663,
|
2253 |
+
"grad_norm": 1.702324628829956,
|
2254 |
+
"learning_rate": 8.104436060160324e-05,
|
2255 |
+
"loss": 2.158,
|
2256 |
+
"step": 642
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 0.6472361809045226,
|
2260 |
+
"grad_norm": 1.734678030014038,
|
2261 |
+
"learning_rate": 8.091388801206333e-05,
|
2262 |
+
"loss": 2.2079,
|
2263 |
+
"step": 644
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 0.6492462311557788,
|
2267 |
+
"grad_norm": 1.667091727256775,
|
2268 |
+
"learning_rate": 8.07830737662829e-05,
|
2269 |
+
"loss": 2.1447,
|
2270 |
+
"step": 646
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 0.6512562814070352,
|
2274 |
+
"grad_norm": 1.7557045221328735,
|
2275 |
+
"learning_rate": 8.06519193100039e-05,
|
2276 |
+
"loss": 2.2181,
|
2277 |
+
"step": 648
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.6532663316582915,
|
2281 |
+
"grad_norm": 1.6288976669311523,
|
2282 |
+
"learning_rate": 8.052042609272817e-05,
|
2283 |
+
"loss": 2.0902,
|
2284 |
+
"step": 650
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 0.6552763819095477,
|
2288 |
+
"grad_norm": 1.6819061040878296,
|
2289 |
+
"learning_rate": 8.038859556770151e-05,
|
2290 |
+
"loss": 2.3705,
|
2291 |
+
"step": 652
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 0.6572864321608041,
|
2295 |
+
"grad_norm": 1.7110100984573364,
|
2296 |
+
"learning_rate": 8.025642919189762e-05,
|
2297 |
+
"loss": 2.1783,
|
2298 |
+
"step": 654
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 0.6592964824120603,
|
2302 |
+
"grad_norm": 1.7823935747146606,
|
2303 |
+
"learning_rate": 8.012392842600198e-05,
|
2304 |
+
"loss": 2.3344,
|
2305 |
+
"step": 656
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 0.6613065326633166,
|
2309 |
+
"grad_norm": 1.661436915397644,
|
2310 |
+
"learning_rate": 7.99910947343957e-05,
|
2311 |
+
"loss": 2.2976,
|
2312 |
+
"step": 658
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 0.6633165829145728,
|
2316 |
+
"grad_norm": 1.6022391319274902,
|
2317 |
+
"learning_rate": 7.985792958513931e-05,
|
2318 |
+
"loss": 1.9313,
|
2319 |
+
"step": 660
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 0.6653266331658292,
|
2323 |
+
"grad_norm": 1.5373127460479736,
|
2324 |
+
"learning_rate": 7.972443444995663e-05,
|
2325 |
+
"loss": 2.182,
|
2326 |
+
"step": 662
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 0.6673366834170854,
|
2330 |
+
"grad_norm": 1.713374376296997,
|
2331 |
+
"learning_rate": 7.959061080421839e-05,
|
2332 |
+
"loss": 2.3038,
|
2333 |
+
"step": 664
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 0.6693467336683417,
|
2337 |
+
"grad_norm": 1.645225167274475,
|
2338 |
+
"learning_rate": 7.9456460126926e-05,
|
2339 |
+
"loss": 2.2538,
|
2340 |
+
"step": 666
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 0.671356783919598,
|
2344 |
+
"grad_norm": 1.480999231338501,
|
2345 |
+
"learning_rate": 7.932198390069515e-05,
|
2346 |
+
"loss": 1.9686,
|
2347 |
+
"step": 668
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 0.6733668341708543,
|
2351 |
+
"grad_norm": 3.5348572731018066,
|
2352 |
+
"learning_rate": 7.91871836117395e-05,
|
2353 |
+
"loss": 2.3065,
|
2354 |
+
"step": 670
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 0.6753768844221105,
|
2358 |
+
"grad_norm": 1.6705471277236938,
|
2359 |
+
"learning_rate": 7.905206074985416e-05,
|
2360 |
+
"loss": 2.1366,
|
2361 |
+
"step": 672
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 0.6773869346733669,
|
2365 |
+
"grad_norm": 1.6539703607559204,
|
2366 |
+
"learning_rate": 7.891661680839932e-05,
|
2367 |
+
"loss": 2.111,
|
2368 |
+
"step": 674
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 0.6793969849246231,
|
2372 |
+
"grad_norm": 1.5140559673309326,
|
2373 |
+
"learning_rate": 7.878085328428369e-05,
|
2374 |
+
"loss": 2.1999,
|
2375 |
+
"step": 676
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 0.6814070351758794,
|
2379 |
+
"grad_norm": 1.6765365600585938,
|
2380 |
+
"learning_rate": 7.86447716779479e-05,
|
2381 |
+
"loss": 1.9244,
|
2382 |
+
"step": 678
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 0.6834170854271356,
|
2386 |
+
"grad_norm": 1.6503502130508423,
|
2387 |
+
"learning_rate": 7.85083734933481e-05,
|
2388 |
+
"loss": 2.0321,
|
2389 |
+
"step": 680
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 0.685427135678392,
|
2393 |
+
"grad_norm": 1.5550287961959839,
|
2394 |
+
"learning_rate": 7.83716602379391e-05,
|
2395 |
+
"loss": 1.9953,
|
2396 |
+
"step": 682
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 0.6874371859296482,
|
2400 |
+
"grad_norm": 1.5494416952133179,
|
2401 |
+
"learning_rate": 7.823463342265792e-05,
|
2402 |
+
"loss": 2.1868,
|
2403 |
+
"step": 684
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 0.6894472361809045,
|
2407 |
+
"grad_norm": 1.5480455160140991,
|
2408 |
+
"learning_rate": 7.809729456190698e-05,
|
2409 |
+
"loss": 2.2091,
|
2410 |
+
"step": 686
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 0.6914572864321608,
|
2414 |
+
"grad_norm": 1.5905412435531616,
|
2415 |
+
"learning_rate": 7.795964517353735e-05,
|
2416 |
+
"loss": 2.0997,
|
2417 |
+
"step": 688
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 0.6934673366834171,
|
2421 |
+
"grad_norm": 1.6843619346618652,
|
2422 |
+
"learning_rate": 7.782168677883206e-05,
|
2423 |
+
"loss": 2.2762,
|
2424 |
+
"step": 690
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 0.6954773869346733,
|
2428 |
+
"grad_norm": 1.9944095611572266,
|
2429 |
+
"learning_rate": 7.76834209024892e-05,
|
2430 |
+
"loss": 1.8889,
|
2431 |
+
"step": 692
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 0.6974874371859296,
|
2435 |
+
"grad_norm": 1.6074081659317017,
|
2436 |
+
"learning_rate": 7.754484907260513e-05,
|
2437 |
+
"loss": 2.2474,
|
2438 |
+
"step": 694
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 0.699497487437186,
|
2442 |
+
"grad_norm": 1.506535530090332,
|
2443 |
+
"learning_rate": 7.740597282065756e-05,
|
2444 |
+
"loss": 2.1043,
|
2445 |
+
"step": 696
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 0.7015075376884422,
|
2449 |
+
"grad_norm": 1.5604645013809204,
|
2450 |
+
"learning_rate": 7.726679368148864e-05,
|
2451 |
+
"loss": 2.0762,
|
2452 |
+
"step": 698
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 0.7035175879396985,
|
2456 |
+
"grad_norm": 1.6519221067428589,
|
2457 |
+
"learning_rate": 7.712731319328798e-05,
|
2458 |
+
"loss": 2.123,
|
2459 |
+
"step": 700
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 0.7055276381909548,
|
2463 |
+
"grad_norm": 1.775421142578125,
|
2464 |
+
"learning_rate": 7.698753289757565e-05,
|
2465 |
+
"loss": 2.125,
|
2466 |
+
"step": 702
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 0.7075376884422111,
|
2470 |
+
"grad_norm": 1.552018404006958,
|
2471 |
+
"learning_rate": 7.684745433918518e-05,
|
2472 |
+
"loss": 1.952,
|
2473 |
+
"step": 704
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 0.7095477386934673,
|
2477 |
+
"grad_norm": 1.8088091611862183,
|
2478 |
+
"learning_rate": 7.670707906624644e-05,
|
2479 |
+
"loss": 2.2094,
|
2480 |
+
"step": 706
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 0.7115577889447237,
|
2484 |
+
"grad_norm": 1.5663000345230103,
|
2485 |
+
"learning_rate": 7.656640863016857e-05,
|
2486 |
+
"loss": 2.2196,
|
2487 |
+
"step": 708
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 0.7135678391959799,
|
2491 |
+
"grad_norm": 1.6653417348861694,
|
2492 |
+
"learning_rate": 7.642544458562278e-05,
|
2493 |
+
"loss": 2.1193,
|
2494 |
+
"step": 710
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 0.7155778894472362,
|
2498 |
+
"grad_norm": 1.5582131147384644,
|
2499 |
+
"learning_rate": 7.628418849052523e-05,
|
2500 |
+
"loss": 2.0609,
|
2501 |
+
"step": 712
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 0.7175879396984924,
|
2505 |
+
"grad_norm": 1.6001904010772705,
|
2506 |
+
"learning_rate": 7.614264190601981e-05,
|
2507 |
+
"loss": 1.9337,
|
2508 |
+
"step": 714
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 0.7195979899497488,
|
2512 |
+
"grad_norm": 1.5969533920288086,
|
2513 |
+
"learning_rate": 7.600080639646077e-05,
|
2514 |
+
"loss": 1.9728,
|
2515 |
+
"step": 716
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 0.721608040201005,
|
2519 |
+
"grad_norm": 1.5485557317733765,
|
2520 |
+
"learning_rate": 7.585868352939563e-05,
|
2521 |
+
"loss": 2.0791,
|
2522 |
+
"step": 718
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 0.7236180904522613,
|
2526 |
+
"grad_norm": 1.6326680183410645,
|
2527 |
+
"learning_rate": 7.571627487554769e-05,
|
2528 |
+
"loss": 2.1784,
|
2529 |
+
"step": 720
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.7256281407035176,
|
2533 |
+
"grad_norm": 1.7753201723098755,
|
2534 |
+
"learning_rate": 7.55735820087987e-05,
|
2535 |
+
"loss": 2.1085,
|
2536 |
+
"step": 722
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 0.7276381909547739,
|
2540 |
+
"grad_norm": 1.6765743494033813,
|
2541 |
+
"learning_rate": 7.543060650617158e-05,
|
2542 |
+
"loss": 2.2751,
|
2543 |
+
"step": 724
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 0.7296482412060301,
|
2547 |
+
"grad_norm": 1.7378075122833252,
|
2548 |
+
"learning_rate": 7.528734994781283e-05,
|
2549 |
+
"loss": 2.5291,
|
2550 |
+
"step": 726
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.7316582914572864,
|
2554 |
+
"grad_norm": 1.5884289741516113,
|
2555 |
+
"learning_rate": 7.514381391697517e-05,
|
2556 |
+
"loss": 2.1576,
|
2557 |
+
"step": 728
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 0.7336683417085427,
|
2561 |
+
"grad_norm": 1.4826475381851196,
|
2562 |
+
"learning_rate": 7.500000000000001e-05,
|
2563 |
+
"loss": 2.0913,
|
2564 |
+
"step": 730
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 0.735678391959799,
|
2568 |
+
"grad_norm": 1.5756173133850098,
|
2569 |
+
"learning_rate": 7.48559097862999e-05,
|
2570 |
+
"loss": 1.977,
|
2571 |
+
"step": 732
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 0.7376884422110552,
|
2575 |
+
"grad_norm": 1.5923422574996948,
|
2576 |
+
"learning_rate": 7.471154486834105e-05,
|
2577 |
+
"loss": 2.1248,
|
2578 |
+
"step": 734
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 0.7396984924623116,
|
2582 |
+
"grad_norm": 1.8260492086410522,
|
2583 |
+
"learning_rate": 7.456690684162557e-05,
|
2584 |
+
"loss": 2.1871,
|
2585 |
+
"step": 736
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 0.7417085427135678,
|
2589 |
+
"grad_norm": 1.6289384365081787,
|
2590 |
+
"learning_rate": 7.442199730467402e-05,
|
2591 |
+
"loss": 1.9642,
|
2592 |
+
"step": 738
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 0.7437185929648241,
|
2596 |
+
"grad_norm": 1.423568606376648,
|
2597 |
+
"learning_rate": 7.427681785900761e-05,
|
2598 |
+
"loss": 1.7796,
|
2599 |
+
"step": 740
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 0.7457286432160805,
|
2603 |
+
"grad_norm": 1.7022663354873657,
|
2604 |
+
"learning_rate": 7.413137010913054e-05,
|
2605 |
+
"loss": 2.2234,
|
2606 |
+
"step": 742
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 0.7477386934673367,
|
2610 |
+
"grad_norm": 1.6905540227890015,
|
2611 |
+
"learning_rate": 7.398565566251232e-05,
|
2612 |
+
"loss": 2.1867,
|
2613 |
+
"step": 744
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 0.749748743718593,
|
2617 |
+
"grad_norm": 1.545426607131958,
|
2618 |
+
"learning_rate": 7.383967612956988e-05,
|
2619 |
+
"loss": 2.0914,
|
2620 |
+
"step": 746
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 0.7517587939698492,
|
2624 |
+
"grad_norm": 1.6682387590408325,
|
2625 |
+
"learning_rate": 7.369343312364993e-05,
|
2626 |
+
"loss": 2.2405,
|
2627 |
+
"step": 748
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 0.7537688442211056,
|
2631 |
+
"grad_norm": 1.634537935256958,
|
2632 |
+
"learning_rate": 7.354692826101102e-05,
|
2633 |
+
"loss": 1.9596,
|
2634 |
+
"step": 750
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 0.7557788944723618,
|
2638 |
+
"grad_norm": 1.6119855642318726,
|
2639 |
+
"learning_rate": 7.340016316080565e-05,
|
2640 |
+
"loss": 2.1663,
|
2641 |
+
"step": 752
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 0.7577889447236181,
|
2645 |
+
"grad_norm": 1.621778130531311,
|
2646 |
+
"learning_rate": 7.325313944506254e-05,
|
2647 |
+
"loss": 1.9821,
|
2648 |
+
"step": 754
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 0.7597989949748744,
|
2652 |
+
"grad_norm": 2.1226937770843506,
|
2653 |
+
"learning_rate": 7.310585873866848e-05,
|
2654 |
+
"loss": 2.2974,
|
2655 |
+
"step": 756
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 0.7618090452261307,
|
2659 |
+
"grad_norm": 1.5477526187896729,
|
2660 |
+
"learning_rate": 7.295832266935059e-05,
|
2661 |
+
"loss": 1.8883,
|
2662 |
+
"step": 758
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 0.7638190954773869,
|
2666 |
+
"grad_norm": 1.5489342212677002,
|
2667 |
+
"learning_rate": 7.281053286765815e-05,
|
2668 |
+
"loss": 2.0525,
|
2669 |
+
"step": 760
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 0.7658291457286432,
|
2673 |
+
"grad_norm": 2.4198858737945557,
|
2674 |
+
"learning_rate": 7.26624909669447e-05,
|
2675 |
+
"loss": 2.0754,
|
2676 |
+
"step": 762
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 0.7678391959798995,
|
2680 |
+
"grad_norm": 1.5412720441818237,
|
2681 |
+
"learning_rate": 7.251419860334994e-05,
|
2682 |
+
"loss": 1.8809,
|
2683 |
+
"step": 764
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 0.7698492462311558,
|
2687 |
+
"grad_norm": 1.656874179840088,
|
2688 |
+
"learning_rate": 7.236565741578163e-05,
|
2689 |
+
"loss": 2.0115,
|
2690 |
+
"step": 766
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 0.771859296482412,
|
2694 |
+
"grad_norm": 1.5036085844039917,
|
2695 |
+
"learning_rate": 7.221686904589754e-05,
|
2696 |
+
"loss": 2.2604,
|
2697 |
+
"step": 768
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 0.7738693467336684,
|
2701 |
+
"grad_norm": 1.4638508558273315,
|
2702 |
+
"learning_rate": 7.20678351380872e-05,
|
2703 |
+
"loss": 1.9812,
|
2704 |
+
"step": 770
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 0.7758793969849246,
|
2708 |
+
"grad_norm": 1.5553574562072754,
|
2709 |
+
"learning_rate": 7.191855733945387e-05,
|
2710 |
+
"loss": 2.0646,
|
2711 |
+
"step": 772
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 0.7778894472361809,
|
2715 |
+
"grad_norm": 1.5192738771438599,
|
2716 |
+
"learning_rate": 7.176903729979621e-05,
|
2717 |
+
"loss": 2.3253,
|
2718 |
+
"step": 774
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 0.7798994974874371,
|
2722 |
+
"grad_norm": 1.702390432357788,
|
2723 |
+
"learning_rate": 7.161927667159013e-05,
|
2724 |
+
"loss": 2.0733,
|
2725 |
+
"step": 776
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 0.7819095477386935,
|
2729 |
+
"grad_norm": 1.551355004310608,
|
2730 |
+
"learning_rate": 7.146927710997047e-05,
|
2731 |
+
"loss": 2.0301,
|
2732 |
+
"step": 778
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 0.7839195979899497,
|
2736 |
+
"grad_norm": 1.6954432725906372,
|
2737 |
+
"learning_rate": 7.13190402727127e-05,
|
2738 |
+
"loss": 1.9302,
|
2739 |
+
"step": 780
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 0.785929648241206,
|
2743 |
+
"grad_norm": 1.5084172487258911,
|
2744 |
+
"learning_rate": 7.116856782021468e-05,
|
2745 |
+
"loss": 2.4387,
|
2746 |
+
"step": 782
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 0.7879396984924623,
|
2750 |
+
"grad_norm": 1.5950528383255005,
|
2751 |
+
"learning_rate": 7.101786141547828e-05,
|
2752 |
+
"loss": 2.1753,
|
2753 |
+
"step": 784
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 0.7899497487437186,
|
2757 |
+
"grad_norm": 1.674777865409851,
|
2758 |
+
"learning_rate": 7.08669227240909e-05,
|
2759 |
+
"loss": 2.0804,
|
2760 |
+
"step": 786
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 0.7919597989949749,
|
2764 |
+
"grad_norm": 1.5074516534805298,
|
2765 |
+
"learning_rate": 7.071575341420719e-05,
|
2766 |
+
"loss": 2.2549,
|
2767 |
+
"step": 788
|
2768 |
+
},
|
2769 |
+
{
|
2770 |
+
"epoch": 0.7939698492462312,
|
2771 |
+
"grad_norm": 1.6578811407089233,
|
2772 |
+
"learning_rate": 7.056435515653059e-05,
|
2773 |
+
"loss": 2.1851,
|
2774 |
+
"step": 790
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 0.7959798994974875,
|
2778 |
+
"grad_norm": 1.6693928241729736,
|
2779 |
+
"learning_rate": 7.041272962429477e-05,
|
2780 |
+
"loss": 2.2608,
|
2781 |
+
"step": 792
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 0.7979899497487437,
|
2785 |
+
"grad_norm": 1.6492758989334106,
|
2786 |
+
"learning_rate": 7.026087849324527e-05,
|
2787 |
+
"loss": 1.9814,
|
2788 |
+
"step": 794
|
2789 |
+
},
|
2790 |
+
{
|
2791 |
+
"epoch": 0.8,
|
2792 |
+
"grad_norm": 1.59951651096344,
|
2793 |
+
"learning_rate": 7.010880344162088e-05,
|
2794 |
+
"loss": 2.0959,
|
2795 |
+
"step": 796
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 0.8020100502512563,
|
2799 |
+
"grad_norm": 1.6797847747802734,
|
2800 |
+
"learning_rate": 6.995650615013516e-05,
|
2801 |
+
"loss": 2.242,
|
2802 |
+
"step": 798
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 0.8040201005025126,
|
2806 |
+
"grad_norm": 1.566300868988037,
|
2807 |
+
"learning_rate": 6.980398830195785e-05,
|
2808 |
+
"loss": 2.2452,
|
2809 |
+
"step": 800
|
2810 |
+
},
|
2811 |
+
{
|
2812 |
+
"epoch": 0.8060301507537688,
|
2813 |
+
"grad_norm": 1.471531629562378,
|
2814 |
+
"learning_rate": 6.965125158269619e-05,
|
2815 |
+
"loss": 1.7636,
|
2816 |
+
"step": 802
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 0.8080402010050252,
|
2820 |
+
"grad_norm": 1.5839449167251587,
|
2821 |
+
"learning_rate": 6.94982976803764e-05,
|
2822 |
+
"loss": 2.299,
|
2823 |
+
"step": 804
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 0.8100502512562814,
|
2827 |
+
"grad_norm": 1.5502268075942993,
|
2828 |
+
"learning_rate": 6.934512828542497e-05,
|
2829 |
+
"loss": 1.8683,
|
2830 |
+
"step": 806
|
2831 |
+
},
|
2832 |
+
{
|
2833 |
+
"epoch": 0.8120603015075377,
|
2834 |
+
"grad_norm": 1.532381296157837,
|
2835 |
+
"learning_rate": 6.919174509065004e-05,
|
2836 |
+
"loss": 1.8511,
|
2837 |
+
"step": 808
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 0.8140703517587939,
|
2841 |
+
"grad_norm": 1.4679884910583496,
|
2842 |
+
"learning_rate": 6.903814979122249e-05,
|
2843 |
+
"loss": 2.1163,
|
2844 |
+
"step": 810
|
2845 |
+
},
|
2846 |
+
{
|
2847 |
+
"epoch": 0.8160804020100503,
|
2848 |
+
"grad_norm": 1.5164811611175537,
|
2849 |
+
"learning_rate": 6.888434408465751e-05,
|
2850 |
+
"loss": 2.1253,
|
2851 |
+
"step": 812
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 0.8180904522613065,
|
2855 |
+
"grad_norm": 1.6110063791275024,
|
2856 |
+
"learning_rate": 6.873032967079561e-05,
|
2857 |
+
"loss": 2.2175,
|
2858 |
+
"step": 814
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 0.8201005025125628,
|
2862 |
+
"grad_norm": 1.4853484630584717,
|
2863 |
+
"learning_rate": 6.85761082517839e-05,
|
2864 |
+
"loss": 2.1247,
|
2865 |
+
"step": 816
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 0.8221105527638191,
|
2869 |
+
"grad_norm": 1.7195366621017456,
|
2870 |
+
"learning_rate": 6.842168153205734e-05,
|
2871 |
+
"loss": 2.2131,
|
2872 |
+
"step": 818
|
2873 |
+
},
|
2874 |
+
{
|
2875 |
+
"epoch": 0.8241206030150754,
|
2876 |
+
"grad_norm": 1.622910976409912,
|
2877 |
+
"learning_rate": 6.826705121831976e-05,
|
2878 |
+
"loss": 2.0826,
|
2879 |
+
"step": 820
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 0.8261306532663316,
|
2883 |
+
"grad_norm": 1.5393376350402832,
|
2884 |
+
"learning_rate": 6.811221901952513e-05,
|
2885 |
+
"loss": 1.9764,
|
2886 |
+
"step": 822
|
2887 |
+
},
|
2888 |
+
{
|
2889 |
+
"epoch": 0.828140703517588,
|
2890 |
+
"grad_norm": 1.475002408027649,
|
2891 |
+
"learning_rate": 6.795718664685868e-05,
|
2892 |
+
"loss": 1.9606,
|
2893 |
+
"step": 824
|
2894 |
+
},
|
2895 |
+
{
|
2896 |
+
"epoch": 0.8301507537688442,
|
2897 |
+
"grad_norm": 1.607079267501831,
|
2898 |
+
"learning_rate": 6.780195581371784e-05,
|
2899 |
+
"loss": 2.3341,
|
2900 |
+
"step": 826
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 0.8321608040201005,
|
2904 |
+
"grad_norm": 1.5544415712356567,
|
2905 |
+
"learning_rate": 6.764652823569344e-05,
|
2906 |
+
"loss": 2.3198,
|
2907 |
+
"step": 828
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 0.8341708542713567,
|
2911 |
+
"grad_norm": 1.5592552423477173,
|
2912 |
+
"learning_rate": 6.749090563055076e-05,
|
2913 |
+
"loss": 1.8339,
|
2914 |
+
"step": 830
|
2915 |
+
},
|
2916 |
+
{
|
2917 |
+
"epoch": 0.8361809045226131,
|
2918 |
+
"grad_norm": 1.6058601140975952,
|
2919 |
+
"learning_rate": 6.733508971821036e-05,
|
2920 |
+
"loss": 2.0026,
|
2921 |
+
"step": 832
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 0.8381909547738694,
|
2925 |
+
"grad_norm": 1.5740671157836914,
|
2926 |
+
"learning_rate": 6.717908222072935e-05,
|
2927 |
+
"loss": 2.1512,
|
2928 |
+
"step": 834
|
2929 |
+
},
|
2930 |
+
{
|
2931 |
+
"epoch": 0.8402010050251256,
|
2932 |
+
"grad_norm": 1.4987316131591797,
|
2933 |
+
"learning_rate": 6.702288486228216e-05,
|
2934 |
+
"loss": 2.1372,
|
2935 |
+
"step": 836
|
2936 |
+
},
|
2937 |
+
{
|
2938 |
+
"epoch": 0.842211055276382,
|
2939 |
+
"grad_norm": 1.501441478729248,
|
2940 |
+
"learning_rate": 6.686649936914152e-05,
|
2941 |
+
"loss": 2.1216,
|
2942 |
+
"step": 838
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 0.8442211055276382,
|
2946 |
+
"grad_norm": 1.522459626197815,
|
2947 |
+
"learning_rate": 6.670992746965938e-05,
|
2948 |
+
"loss": 2.2921,
|
2949 |
+
"step": 840
|
2950 |
+
},
|
2951 |
+
{
|
2952 |
+
"epoch": 0.8462311557788945,
|
2953 |
+
"grad_norm": 1.5145554542541504,
|
2954 |
+
"learning_rate": 6.65531708942479e-05,
|
2955 |
+
"loss": 2.0768,
|
2956 |
+
"step": 842
|
2957 |
+
},
|
2958 |
+
{
|
2959 |
+
"epoch": 0.8482412060301507,
|
2960 |
+
"grad_norm": 1.7844620943069458,
|
2961 |
+
"learning_rate": 6.639623137536023e-05,
|
2962 |
+
"loss": 2.0404,
|
2963 |
+
"step": 844
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 0.8502512562814071,
|
2967 |
+
"grad_norm": 1.5324727296829224,
|
2968 |
+
"learning_rate": 6.623911064747133e-05,
|
2969 |
+
"loss": 1.9641,
|
2970 |
+
"step": 846
|
2971 |
+
},
|
2972 |
+
{
|
2973 |
+
"epoch": 0.8522613065326633,
|
2974 |
+
"grad_norm": 1.5896046161651611,
|
2975 |
+
"learning_rate": 6.608181044705892e-05,
|
2976 |
+
"loss": 1.922,
|
2977 |
+
"step": 848
|
2978 |
+
},
|
2979 |
+
{
|
2980 |
+
"epoch": 0.8542713567839196,
|
2981 |
+
"grad_norm": 1.531399130821228,
|
2982 |
+
"learning_rate": 6.592433251258423e-05,
|
2983 |
+
"loss": 1.9917,
|
2984 |
+
"step": 850
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 0.8562814070351759,
|
2988 |
+
"grad_norm": 1.3786967992782593,
|
2989 |
+
"learning_rate": 6.576667858447272e-05,
|
2990 |
+
"loss": 2.0952,
|
2991 |
+
"step": 852
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 0.8582914572864322,
|
2995 |
+
"grad_norm": 1.5708434581756592,
|
2996 |
+
"learning_rate": 6.560885040509499e-05,
|
2997 |
+
"loss": 2.0783,
|
2998 |
+
"step": 854
|
2999 |
+
},
|
3000 |
+
{
|
3001 |
+
"epoch": 0.8603015075376884,
|
3002 |
+
"grad_norm": 1.5222376585006714,
|
3003 |
+
"learning_rate": 6.545084971874738e-05,
|
3004 |
+
"loss": 1.9323,
|
3005 |
+
"step": 856
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 0.8623115577889447,
|
3009 |
+
"grad_norm": 1.591243028640747,
|
3010 |
+
"learning_rate": 6.529267827163277e-05,
|
3011 |
+
"loss": 2.0764,
|
3012 |
+
"step": 858
|
3013 |
+
},
|
3014 |
+
{
|
3015 |
+
"epoch": 0.864321608040201,
|
3016 |
+
"grad_norm": 1.5842283964157104,
|
3017 |
+
"learning_rate": 6.51343378118413e-05,
|
3018 |
+
"loss": 2.183,
|
3019 |
+
"step": 860
|
3020 |
+
},
|
3021 |
+
{
|
3022 |
+
"epoch": 0.8663316582914573,
|
3023 |
+
"grad_norm": 1.5385973453521729,
|
3024 |
+
"learning_rate": 6.497583008933097e-05,
|
3025 |
+
"loss": 2.2194,
|
3026 |
+
"step": 862
|
3027 |
+
},
|
3028 |
+
{
|
3029 |
+
"epoch": 0.8683417085427135,
|
3030 |
+
"grad_norm": 1.5147958993911743,
|
3031 |
+
"learning_rate": 6.481715685590836e-05,
|
3032 |
+
"loss": 1.9953,
|
3033 |
+
"step": 864
|
3034 |
+
},
|
3035 |
+
{
|
3036 |
+
"epoch": 0.8703517587939699,
|
3037 |
+
"grad_norm": 1.5883772373199463,
|
3038 |
+
"learning_rate": 6.465831986520927e-05,
|
3039 |
+
"loss": 2.0174,
|
3040 |
+
"step": 866
|
3041 |
+
},
|
3042 |
+
{
|
3043 |
+
"epoch": 0.8723618090452261,
|
3044 |
+
"grad_norm": 1.5510574579238892,
|
3045 |
+
"learning_rate": 6.449932087267932e-05,
|
3046 |
+
"loss": 1.9516,
|
3047 |
+
"step": 868
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 0.8743718592964824,
|
3051 |
+
"grad_norm": 1.4354772567749023,
|
3052 |
+
"learning_rate": 6.434016163555452e-05,
|
3053 |
+
"loss": 1.9101,
|
3054 |
+
"step": 870
|
3055 |
+
},
|
3056 |
+
{
|
3057 |
+
"epoch": 0.8763819095477386,
|
3058 |
+
"grad_norm": 1.5250461101531982,
|
3059 |
+
"learning_rate": 6.418084391284192e-05,
|
3060 |
+
"loss": 2.1036,
|
3061 |
+
"step": 872
|
3062 |
+
},
|
3063 |
+
{
|
3064 |
+
"epoch": 0.878391959798995,
|
3065 |
+
"grad_norm": 1.6079366207122803,
|
3066 |
+
"learning_rate": 6.402136946530014e-05,
|
3067 |
+
"loss": 2.1401,
|
3068 |
+
"step": 874
|
3069 |
+
},
|
3070 |
+
{
|
3071 |
+
"epoch": 0.8804020100502512,
|
3072 |
+
"grad_norm": 1.5236170291900635,
|
3073 |
+
"learning_rate": 6.386174005541986e-05,
|
3074 |
+
"loss": 1.9832,
|
3075 |
+
"step": 876
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 0.8824120603015075,
|
3079 |
+
"grad_norm": 1.5333629846572876,
|
3080 |
+
"learning_rate": 6.370195744740442e-05,
|
3081 |
+
"loss": 1.8619,
|
3082 |
+
"step": 878
|
3083 |
+
},
|
3084 |
+
{
|
3085 |
+
"epoch": 0.8844221105527639,
|
3086 |
+
"grad_norm": 1.5753098726272583,
|
3087 |
+
"learning_rate": 6.354202340715026e-05,
|
3088 |
+
"loss": 1.8309,
|
3089 |
+
"step": 880
|
3090 |
+
},
|
3091 |
+
{
|
3092 |
+
"epoch": 0.8864321608040201,
|
3093 |
+
"grad_norm": 1.5884308815002441,
|
3094 |
+
"learning_rate": 6.338193970222744e-05,
|
3095 |
+
"loss": 2.1437,
|
3096 |
+
"step": 882
|
3097 |
+
},
|
3098 |
+
{
|
3099 |
+
"epoch": 0.8884422110552764,
|
3100 |
+
"grad_norm": 1.5323386192321777,
|
3101 |
+
"learning_rate": 6.322170810186012e-05,
|
3102 |
+
"loss": 2.1074,
|
3103 |
+
"step": 884
|
3104 |
+
},
|
3105 |
+
{
|
3106 |
+
"epoch": 0.8904522613065327,
|
3107 |
+
"grad_norm": 1.4975218772888184,
|
3108 |
+
"learning_rate": 6.306133037690693e-05,
|
3109 |
+
"loss": 2.0906,
|
3110 |
+
"step": 886
|
3111 |
+
},
|
3112 |
+
{
|
3113 |
+
"epoch": 0.892462311557789,
|
3114 |
+
"grad_norm": 1.5518718957901,
|
3115 |
+
"learning_rate": 6.290080829984147e-05,
|
3116 |
+
"loss": 1.9955,
|
3117 |
+
"step": 888
|
3118 |
+
},
|
3119 |
+
{
|
3120 |
+
"epoch": 0.8944723618090452,
|
3121 |
+
"grad_norm": 1.5773143768310547,
|
3122 |
+
"learning_rate": 6.274014364473274e-05,
|
3123 |
+
"loss": 2.2483,
|
3124 |
+
"step": 890
|
3125 |
+
},
|
3126 |
+
{
|
3127 |
+
"epoch": 0.8964824120603015,
|
3128 |
+
"grad_norm": 1.533818006515503,
|
3129 |
+
"learning_rate": 6.257933818722543e-05,
|
3130 |
+
"loss": 2.093,
|
3131 |
+
"step": 892
|
3132 |
+
},
|
3133 |
+
{
|
3134 |
+
"epoch": 0.8984924623115578,
|
3135 |
+
"grad_norm": 1.442911148071289,
|
3136 |
+
"learning_rate": 6.241839370452041e-05,
|
3137 |
+
"loss": 2.1291,
|
3138 |
+
"step": 894
|
3139 |
+
},
|
3140 |
+
{
|
3141 |
+
"epoch": 0.9005025125628141,
|
3142 |
+
"grad_norm": 1.498679518699646,
|
3143 |
+
"learning_rate": 6.2257311975355e-05,
|
3144 |
+
"loss": 1.9726,
|
3145 |
+
"step": 896
|
3146 |
+
},
|
3147 |
+
{
|
3148 |
+
"epoch": 0.9025125628140703,
|
3149 |
+
"grad_norm": 1.647017002105713,
|
3150 |
+
"learning_rate": 6.209609477998338e-05,
|
3151 |
+
"loss": 1.9182,
|
3152 |
+
"step": 898
|
3153 |
+
},
|
3154 |
+
{
|
3155 |
+
"epoch": 0.9045226130653267,
|
3156 |
+
"grad_norm": 1.546736240386963,
|
3157 |
+
"learning_rate": 6.19347439001569e-05,
|
3158 |
+
"loss": 2.0869,
|
3159 |
+
"step": 900
|
3160 |
+
},
|
3161 |
+
{
|
3162 |
+
"epoch": 0.9065326633165829,
|
3163 |
+
"grad_norm": 1.4182671308517456,
|
3164 |
+
"learning_rate": 6.177326111910429e-05,
|
3165 |
+
"loss": 2.1178,
|
3166 |
+
"step": 902
|
3167 |
+
},
|
3168 |
+
{
|
3169 |
+
"epoch": 0.9085427135678392,
|
3170 |
+
"grad_norm": 1.685409426689148,
|
3171 |
+
"learning_rate": 6.161164822151213e-05,
|
3172 |
+
"loss": 2.1423,
|
3173 |
+
"step": 904
|
3174 |
+
},
|
3175 |
+
{
|
3176 |
+
"epoch": 0.9105527638190954,
|
3177 |
+
"grad_norm": 1.488713026046753,
|
3178 |
+
"learning_rate": 6.144990699350497e-05,
|
3179 |
+
"loss": 2.2579,
|
3180 |
+
"step": 906
|
3181 |
+
},
|
3182 |
+
{
|
3183 |
+
"epoch": 0.9125628140703518,
|
3184 |
+
"grad_norm": 1.6088262796401978,
|
3185 |
+
"learning_rate": 6.128803922262573e-05,
|
3186 |
+
"loss": 2.1192,
|
3187 |
+
"step": 908
|
3188 |
+
},
|
3189 |
+
{
|
3190 |
+
"epoch": 0.914572864321608,
|
3191 |
+
"grad_norm": 1.6858761310577393,
|
3192 |
+
"learning_rate": 6.112604669781572e-05,
|
3193 |
+
"loss": 1.9913,
|
3194 |
+
"step": 910
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"epoch": 0.9165829145728643,
|
3198 |
+
"grad_norm": 1.4918874502182007,
|
3199 |
+
"learning_rate": 6.096393120939516e-05,
|
3200 |
+
"loss": 2.0041,
|
3201 |
+
"step": 912
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 0.9185929648241206,
|
3205 |
+
"grad_norm": 1.501802921295166,
|
3206 |
+
"learning_rate": 6.08016945490432e-05,
|
3207 |
+
"loss": 2.1627,
|
3208 |
+
"step": 914
|
3209 |
+
},
|
3210 |
+
{
|
3211 |
+
"epoch": 0.9206030150753769,
|
3212 |
+
"grad_norm": 1.6295005083084106,
|
3213 |
+
"learning_rate": 6.063933850977811e-05,
|
3214 |
+
"loss": 2.281,
|
3215 |
+
"step": 916
|
3216 |
+
},
|
3217 |
+
{
|
3218 |
+
"epoch": 0.9226130653266331,
|
3219 |
+
"grad_norm": 1.4057841300964355,
|
3220 |
+
"learning_rate": 6.04768648859376e-05,
|
3221 |
+
"loss": 2.0616,
|
3222 |
+
"step": 918
|
3223 |
+
},
|
3224 |
+
{
|
3225 |
+
"epoch": 0.9246231155778895,
|
3226 |
+
"grad_norm": 1.386192798614502,
|
3227 |
+
"learning_rate": 6.031427547315889e-05,
|
3228 |
+
"loss": 1.9191,
|
3229 |
+
"step": 920
|
3230 |
+
},
|
3231 |
+
{
|
3232 |
+
"epoch": 0.9266331658291457,
|
3233 |
+
"grad_norm": 1.4363282918930054,
|
3234 |
+
"learning_rate": 6.015157206835881e-05,
|
3235 |
+
"loss": 1.94,
|
3236 |
+
"step": 922
|
3237 |
+
},
|
3238 |
+
{
|
3239 |
+
"epoch": 0.928643216080402,
|
3240 |
+
"grad_norm": 1.6516571044921875,
|
3241 |
+
"learning_rate": 5.9988756469714135e-05,
|
3242 |
+
"loss": 2.3657,
|
3243 |
+
"step": 924
|
3244 |
+
},
|
3245 |
+
{
|
3246 |
+
"epoch": 0.9306532663316583,
|
3247 |
+
"grad_norm": 1.465562105178833,
|
3248 |
+
"learning_rate": 5.982583047664151e-05,
|
3249 |
+
"loss": 2.1271,
|
3250 |
+
"step": 926
|
3251 |
+
},
|
3252 |
+
{
|
3253 |
+
"epoch": 0.9326633165829146,
|
3254 |
+
"grad_norm": 1.5715078115463257,
|
3255 |
+
"learning_rate": 5.9662795889777666e-05,
|
3256 |
+
"loss": 2.1258,
|
3257 |
+
"step": 928
|
3258 |
+
},
|
3259 |
+
{
|
3260 |
+
"epoch": 0.9346733668341709,
|
3261 |
+
"grad_norm": 3.0183351039886475,
|
3262 |
+
"learning_rate": 5.949965451095951e-05,
|
3263 |
+
"loss": 2.2448,
|
3264 |
+
"step": 930
|
3265 |
+
},
|
3266 |
+
{
|
3267 |
+
"epoch": 0.9366834170854271,
|
3268 |
+
"grad_norm": 1.5689525604248047,
|
3269 |
+
"learning_rate": 5.933640814320417e-05,
|
3270 |
+
"loss": 2.161,
|
3271 |
+
"step": 932
|
3272 |
+
},
|
3273 |
+
{
|
3274 |
+
"epoch": 0.9386934673366835,
|
3275 |
+
"grad_norm": 1.5857359170913696,
|
3276 |
+
"learning_rate": 5.917305859068912e-05,
|
3277 |
+
"loss": 2.2529,
|
3278 |
+
"step": 934
|
3279 |
+
},
|
3280 |
+
{
|
3281 |
+
"epoch": 0.9407035175879397,
|
3282 |
+
"grad_norm": 1.4421300888061523,
|
3283 |
+
"learning_rate": 5.900960765873222e-05,
|
3284 |
+
"loss": 2.1033,
|
3285 |
+
"step": 936
|
3286 |
+
},
|
3287 |
+
{
|
3288 |
+
"epoch": 0.942713567839196,
|
3289 |
+
"grad_norm": 1.5819547176361084,
|
3290 |
+
"learning_rate": 5.8846057153771786e-05,
|
3291 |
+
"loss": 2.2916,
|
3292 |
+
"step": 938
|
3293 |
+
},
|
3294 |
+
{
|
3295 |
+
"epoch": 0.9447236180904522,
|
3296 |
+
"grad_norm": 1.4737604856491089,
|
3297 |
+
"learning_rate": 5.868240888334653e-05,
|
3298 |
+
"loss": 2.005,
|
3299 |
+
"step": 940
|
3300 |
+
},
|
3301 |
+
{
|
3302 |
+
"epoch": 0.9467336683417086,
|
3303 |
+
"grad_norm": 1.4487162828445435,
|
3304 |
+
"learning_rate": 5.8518664656075706e-05,
|
3305 |
+
"loss": 1.9979,
|
3306 |
+
"step": 942
|
3307 |
+
},
|
3308 |
+
{
|
3309 |
+
"epoch": 0.9487437185929648,
|
3310 |
+
"grad_norm": 1.5933785438537598,
|
3311 |
+
"learning_rate": 5.835482628163909e-05,
|
3312 |
+
"loss": 1.7228,
|
3313 |
+
"step": 944
|
3314 |
+
},
|
3315 |
+
{
|
3316 |
+
"epoch": 0.9507537688442211,
|
3317 |
+
"grad_norm": 1.6304993629455566,
|
3318 |
+
"learning_rate": 5.819089557075689e-05,
|
3319 |
+
"loss": 2.109,
|
3320 |
+
"step": 946
|
3321 |
+
},
|
3322 |
+
{
|
3323 |
+
"epoch": 0.9527638190954774,
|
3324 |
+
"grad_norm": 1.5096608400344849,
|
3325 |
+
"learning_rate": 5.802687433516989e-05,
|
3326 |
+
"loss": 1.9898,
|
3327 |
+
"step": 948
|
3328 |
+
},
|
3329 |
+
{
|
3330 |
+
"epoch": 0.9547738693467337,
|
3331 |
+
"grad_norm": 1.611997127532959,
|
3332 |
+
"learning_rate": 5.786276438761927e-05,
|
3333 |
+
"loss": 1.9248,
|
3334 |
+
"step": 950
|
3335 |
+
},
|
3336 |
+
{
|
3337 |
+
"epoch": 0.9567839195979899,
|
3338 |
+
"grad_norm": 1.6030073165893555,
|
3339 |
+
"learning_rate": 5.7698567541826675e-05,
|
3340 |
+
"loss": 2.0681,
|
3341 |
+
"step": 952
|
3342 |
+
},
|
3343 |
+
{
|
3344 |
+
"epoch": 0.9587939698492463,
|
3345 |
+
"grad_norm": 1.569161057472229,
|
3346 |
+
"learning_rate": 5.753428561247416e-05,
|
3347 |
+
"loss": 1.919,
|
3348 |
+
"step": 954
|
3349 |
+
},
|
3350 |
+
{
|
3351 |
+
"epoch": 0.9608040201005025,
|
3352 |
+
"grad_norm": 1.5151729583740234,
|
3353 |
+
"learning_rate": 5.7369920415184064e-05,
|
3354 |
+
"loss": 2.1896,
|
3355 |
+
"step": 956
|
3356 |
+
},
|
3357 |
+
{
|
3358 |
+
"epoch": 0.9628140703517588,
|
3359 |
+
"grad_norm": 1.6666862964630127,
|
3360 |
+
"learning_rate": 5.7205473766499005e-05,
|
3361 |
+
"loss": 2.0416,
|
3362 |
+
"step": 958
|
3363 |
+
},
|
3364 |
+
{
|
3365 |
+
"epoch": 0.964824120603015,
|
3366 |
+
"grad_norm": 1.5797557830810547,
|
3367 |
+
"learning_rate": 5.704094748386184e-05,
|
3368 |
+
"loss": 1.9272,
|
3369 |
+
"step": 960
|
3370 |
+
},
|
3371 |
+
{
|
3372 |
+
"epoch": 0.9668341708542714,
|
3373 |
+
"grad_norm": 1.508834719657898,
|
3374 |
+
"learning_rate": 5.6876343385595446e-05,
|
3375 |
+
"loss": 1.7583,
|
3376 |
+
"step": 962
|
3377 |
+
},
|
3378 |
+
{
|
3379 |
+
"epoch": 0.9688442211055276,
|
3380 |
+
"grad_norm": 1.4971197843551636,
|
3381 |
+
"learning_rate": 5.6711663290882776e-05,
|
3382 |
+
"loss": 1.9919,
|
3383 |
+
"step": 964
|
3384 |
+
},
|
3385 |
+
{
|
3386 |
+
"epoch": 0.9708542713567839,
|
3387 |
+
"grad_norm": 1.6074587106704712,
|
3388 |
+
"learning_rate": 5.6546909019746666e-05,
|
3389 |
+
"loss": 1.982,
|
3390 |
+
"step": 966
|
3391 |
+
},
|
3392 |
+
{
|
3393 |
+
"epoch": 0.9728643216080402,
|
3394 |
+
"grad_norm": 3.3276638984680176,
|
3395 |
+
"learning_rate": 5.6382082393029746e-05,
|
3396 |
+
"loss": 2.0718,
|
3397 |
+
"step": 968
|
3398 |
+
},
|
3399 |
+
{
|
3400 |
+
"epoch": 0.9748743718592965,
|
3401 |
+
"grad_norm": 1.4836559295654297,
|
3402 |
+
"learning_rate": 5.621718523237427e-05,
|
3403 |
+
"loss": 2.196,
|
3404 |
+
"step": 970
|
3405 |
+
},
|
3406 |
+
{
|
3407 |
+
"epoch": 0.9768844221105528,
|
3408 |
+
"grad_norm": 1.502540946006775,
|
3409 |
+
"learning_rate": 5.605221936020207e-05,
|
3410 |
+
"loss": 2.1674,
|
3411 |
+
"step": 972
|
3412 |
+
},
|
3413 |
+
{
|
3414 |
+
"epoch": 0.978894472361809,
|
3415 |
+
"grad_norm": 1.4632574319839478,
|
3416 |
+
"learning_rate": 5.588718659969438e-05,
|
3417 |
+
"loss": 2.2086,
|
3418 |
+
"step": 974
|
3419 |
+
},
|
3420 |
+
{
|
3421 |
+
"epoch": 0.9809045226130654,
|
3422 |
+
"grad_norm": 1.5661799907684326,
|
3423 |
+
"learning_rate": 5.57220887747716e-05,
|
3424 |
+
"loss": 2.0454,
|
3425 |
+
"step": 976
|
3426 |
+
},
|
3427 |
+
{
|
3428 |
+
"epoch": 0.9829145728643216,
|
3429 |
+
"grad_norm": 1.5829559564590454,
|
3430 |
+
"learning_rate": 5.5556927710073314e-05,
|
3431 |
+
"loss": 1.9525,
|
3432 |
+
"step": 978
|
3433 |
+
},
|
3434 |
+
{
|
3435 |
+
"epoch": 0.9849246231155779,
|
3436 |
+
"grad_norm": 1.6690107583999634,
|
3437 |
+
"learning_rate": 5.539170523093794e-05,
|
3438 |
+
"loss": 2.0355,
|
3439 |
+
"step": 980
|
3440 |
+
},
|
3441 |
+
{
|
3442 |
+
"epoch": 0.9869346733668342,
|
3443 |
+
"grad_norm": 1.524163842201233,
|
3444 |
+
"learning_rate": 5.522642316338268e-05,
|
3445 |
+
"loss": 2.0668,
|
3446 |
+
"step": 982
|
3447 |
+
},
|
3448 |
+
{
|
3449 |
+
"epoch": 0.9889447236180905,
|
3450 |
+
"grad_norm": 1.5150009393692017,
|
3451 |
+
"learning_rate": 5.506108333408329e-05,
|
3452 |
+
"loss": 2.1167,
|
3453 |
+
"step": 984
|
3454 |
+
},
|
3455 |
+
{
|
3456 |
+
"epoch": 0.9909547738693467,
|
3457 |
+
"grad_norm": 1.5068144798278809,
|
3458 |
+
"learning_rate": 5.489568757035391e-05,
|
3459 |
+
"loss": 2.0714,
|
3460 |
+
"step": 986
|
3461 |
+
},
|
3462 |
+
{
|
3463 |
+
"epoch": 0.992964824120603,
|
3464 |
+
"grad_norm": 1.5889198780059814,
|
3465 |
+
"learning_rate": 5.473023770012686e-05,
|
3466 |
+
"loss": 2.0012,
|
3467 |
+
"step": 988
|
3468 |
+
},
|
3469 |
+
{
|
3470 |
+
"epoch": 0.9949748743718593,
|
3471 |
+
"grad_norm": 1.4362760782241821,
|
3472 |
+
"learning_rate": 5.456473555193242e-05,
|
3473 |
+
"loss": 1.9559,
|
3474 |
+
"step": 990
|
3475 |
+
},
|
3476 |
+
{
|
3477 |
+
"epoch": 0.9969849246231156,
|
3478 |
+
"grad_norm": 1.4204431772232056,
|
3479 |
+
"learning_rate": 5.4399182954878656e-05,
|
3480 |
+
"loss": 1.8115,
|
3481 |
+
"step": 992
|
3482 |
+
},
|
3483 |
+
{
|
3484 |
+
"epoch": 0.9989949748743718,
|
3485 |
+
"grad_norm": 1.500132441520691,
|
3486 |
+
"learning_rate": 5.4233581738631165e-05,
|
3487 |
+
"loss": 2.2726,
|
3488 |
+
"step": 994
|
3489 |
+
}
|
3490 |
+
],
|
3491 |
+
"logging_steps": 2,
|
3492 |
+
"max_steps": 1990,
|
3493 |
+
"num_input_tokens_seen": 0,
|
3494 |
+
"num_train_epochs": 2,
|
3495 |
+
"save_steps": 995,
|
3496 |
+
"stateful_callbacks": {
|
3497 |
+
"TrainerControl": {
|
3498 |
+
"args": {
|
3499 |
+
"should_epoch_stop": false,
|
3500 |
+
"should_evaluate": false,
|
3501 |
+
"should_log": false,
|
3502 |
+
"should_save": true,
|
3503 |
+
"should_training_stop": false
|
3504 |
+
},
|
3505 |
+
"attributes": {}
|
3506 |
+
}
|
3507 |
+
},
|
3508 |
+
"total_flos": 1.6840475756671795e+17,
|
3509 |
+
"train_batch_size": 8,
|
3510 |
+
"trial_name": null,
|
3511 |
+
"trial_params": null
|
3512 |
+
}
|
checkpoint-995/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4a6292fe987426601ff3a282fbc93263d2cc3acea82d69c0e4d76a82ed072116
|
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-ace_Latn-coli-align/",
|
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:dab1ba52a0dcbed9b5315742c600110fdc1df4fe9a936e9d7840174e0740b493
|
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 sha256:95d189204f4a7c654e0b96823d05202ca6230116fe3450954291fbcf93c8b730
|
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 sha256:4a6292fe987426601ff3a282fbc93263d2cc3acea82d69c0e4d76a82ed072116
|
3 |
+
size 5432
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|