Upload folder using huggingface_hub
Browse files- checkpoint-4955/config.json +27 -0
- checkpoint-4955/generation_config.json +6 -0
- checkpoint-4955/model-00001-of-00006.safetensors +3 -0
- checkpoint-4955/model-00002-of-00006.safetensors +3 -0
- checkpoint-4955/model-00003-of-00006.safetensors +3 -0
- checkpoint-4955/model-00004-of-00006.safetensors +3 -0
- checkpoint-4955/model-00005-of-00006.safetensors +3 -0
- checkpoint-4955/model-00006-of-00006.safetensors +3 -0
- checkpoint-4955/model.safetensors.index.json +362 -0
- checkpoint-4955/optimizer.pt +3 -0
- checkpoint-4955/rng_state.pth +3 -0
- checkpoint-4955/scheduler.pt +3 -0
- checkpoint-4955/trainer_state.json +3498 -0
- checkpoint-4955/training_args.bin +3 -0
- checkpoint-9910/config.json +27 -0
- checkpoint-9910/generation_config.json +6 -0
- checkpoint-9910/model-00001-of-00006.safetensors +3 -0
- checkpoint-9910/model-00002-of-00006.safetensors +3 -0
- checkpoint-9910/model-00003-of-00006.safetensors +3 -0
- checkpoint-9910/model-00004-of-00006.safetensors +3 -0
- checkpoint-9910/model-00005-of-00006.safetensors +3 -0
- checkpoint-9910/model-00006-of-00006.safetensors +3 -0
- checkpoint-9910/model.safetensors.index.json +362 -0
- checkpoint-9910/optimizer.pt +3 -0
- checkpoint-9910/rng_state.pth +3 -0
- checkpoint-9910/scheduler.pt +3 -0
- checkpoint-9910/trainer_state.json +0 -0
- checkpoint-9910/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-4955/config.json
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/OLMo-2-1124-7B-dzo_Tibt-coli-mean/",
|
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-4955/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-4955/model-00001-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7b2f3126ff493c6961622256e4998efa56a3bcf849c0e4a5af61c147a3ab6451
|
3 |
+
size 4950070472
|
checkpoint-4955/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-4955/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-4955/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-4955/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-4955/model-00006-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b2a289f3510b997bf969acdbb4da9863d140e27188986d8a60b0adb43de2644e
|
3 |
+
size 4614509080
|
checkpoint-4955/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-4955/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d33e1c7612d9b01c9ccd954130a4318768a494988644a97e79dce486cca31cce
|
3 |
+
size 13055369358
|
checkpoint-4955/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-4955/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d4484acf9c43ca08110346c1865f9938a6ca484b1abdceedc34a9dea0396043d
|
3 |
+
size 1064
|
checkpoint-4955/trainer_state.json
ADDED
@@ -0,0 +1,3498 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 4955,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0020181634712411706,
|
13 |
+
"grad_norm": 84.60143280029297,
|
14 |
+
"learning_rate": 2.0161290322580646e-06,
|
15 |
+
"loss": 7.1336,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.004036326942482341,
|
20 |
+
"grad_norm": 15.496525764465332,
|
21 |
+
"learning_rate": 4.032258064516129e-06,
|
22 |
+
"loss": 5.515,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.006054490413723511,
|
27 |
+
"grad_norm": 10.33206844329834,
|
28 |
+
"learning_rate": 6.048387096774194e-06,
|
29 |
+
"loss": 4.8214,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.008072653884964682,
|
34 |
+
"grad_norm": 19.034317016601562,
|
35 |
+
"learning_rate": 8.064516129032258e-06,
|
36 |
+
"loss": 4.4868,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.010090817356205853,
|
41 |
+
"grad_norm": 4.963449001312256,
|
42 |
+
"learning_rate": 1.0080645161290323e-05,
|
43 |
+
"loss": 4.1247,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.012108980827447022,
|
48 |
+
"grad_norm": 4.877665042877197,
|
49 |
+
"learning_rate": 1.2096774193548388e-05,
|
50 |
+
"loss": 3.756,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.014127144298688193,
|
55 |
+
"grad_norm": 4.284060955047607,
|
56 |
+
"learning_rate": 1.4112903225806454e-05,
|
57 |
+
"loss": 3.4368,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.016145307769929364,
|
62 |
+
"grad_norm": 3.7732603549957275,
|
63 |
+
"learning_rate": 1.6129032258064517e-05,
|
64 |
+
"loss": 3.2998,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.018163471241170535,
|
69 |
+
"grad_norm": 3.365959405899048,
|
70 |
+
"learning_rate": 1.8145161290322583e-05,
|
71 |
+
"loss": 3.1228,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.020181634712411706,
|
76 |
+
"grad_norm": 2.8467206954956055,
|
77 |
+
"learning_rate": 2.0161290322580645e-05,
|
78 |
+
"loss": 2.9786,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.022199798183652877,
|
83 |
+
"grad_norm": 3.936636209487915,
|
84 |
+
"learning_rate": 2.217741935483871e-05,
|
85 |
+
"loss": 2.815,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.024217961654894045,
|
90 |
+
"grad_norm": 2.843057155609131,
|
91 |
+
"learning_rate": 2.4193548387096777e-05,
|
92 |
+
"loss": 2.7479,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.026236125126135216,
|
97 |
+
"grad_norm": 2.4136409759521484,
|
98 |
+
"learning_rate": 2.620967741935484e-05,
|
99 |
+
"loss": 2.6495,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.028254288597376387,
|
104 |
+
"grad_norm": 4.50978946685791,
|
105 |
+
"learning_rate": 2.822580645161291e-05,
|
106 |
+
"loss": 2.6704,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.030272452068617558,
|
111 |
+
"grad_norm": 2.8832032680511475,
|
112 |
+
"learning_rate": 3.024193548387097e-05,
|
113 |
+
"loss": 2.5093,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.03229061553985873,
|
118 |
+
"grad_norm": 3.834477424621582,
|
119 |
+
"learning_rate": 3.2258064516129034e-05,
|
120 |
+
"loss": 2.515,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.034308779011099896,
|
125 |
+
"grad_norm": 2.2256412506103516,
|
126 |
+
"learning_rate": 3.427419354838709e-05,
|
127 |
+
"loss": 2.4173,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.03632694248234107,
|
132 |
+
"grad_norm": 2.659034013748169,
|
133 |
+
"learning_rate": 3.6290322580645165e-05,
|
134 |
+
"loss": 2.3726,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.03834510595358224,
|
139 |
+
"grad_norm": 2.66379714012146,
|
140 |
+
"learning_rate": 3.8306451612903224e-05,
|
141 |
+
"loss": 2.4307,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.04036326942482341,
|
146 |
+
"grad_norm": 2.4209799766540527,
|
147 |
+
"learning_rate": 4.032258064516129e-05,
|
148 |
+
"loss": 2.4125,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.04238143289606458,
|
153 |
+
"grad_norm": 2.361922025680542,
|
154 |
+
"learning_rate": 4.2338709677419356e-05,
|
155 |
+
"loss": 2.331,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.044399596367305755,
|
160 |
+
"grad_norm": 2.37805438041687,
|
161 |
+
"learning_rate": 4.435483870967742e-05,
|
162 |
+
"loss": 2.3345,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.04641775983854692,
|
167 |
+
"grad_norm": 2.6350855827331543,
|
168 |
+
"learning_rate": 4.637096774193548e-05,
|
169 |
+
"loss": 2.3108,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.04843592330978809,
|
174 |
+
"grad_norm": 2.274717092514038,
|
175 |
+
"learning_rate": 4.8387096774193554e-05,
|
176 |
+
"loss": 2.3286,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.050454086781029264,
|
181 |
+
"grad_norm": 2.4076735973358154,
|
182 |
+
"learning_rate": 5.040322580645161e-05,
|
183 |
+
"loss": 2.2257,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.05247225025227043,
|
188 |
+
"grad_norm": 2.0606577396392822,
|
189 |
+
"learning_rate": 5.241935483870968e-05,
|
190 |
+
"loss": 2.2772,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.054490413723511606,
|
195 |
+
"grad_norm": 2.362431287765503,
|
196 |
+
"learning_rate": 5.443548387096774e-05,
|
197 |
+
"loss": 2.2675,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.056508577194752774,
|
202 |
+
"grad_norm": 2.4200310707092285,
|
203 |
+
"learning_rate": 5.645161290322582e-05,
|
204 |
+
"loss": 2.236,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.05852674066599395,
|
209 |
+
"grad_norm": 2.1776976585388184,
|
210 |
+
"learning_rate": 5.8467741935483876e-05,
|
211 |
+
"loss": 2.1248,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.060544904137235116,
|
216 |
+
"grad_norm": 2.3392269611358643,
|
217 |
+
"learning_rate": 6.048387096774194e-05,
|
218 |
+
"loss": 2.1562,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.06256306760847628,
|
223 |
+
"grad_norm": 2.3293347358703613,
|
224 |
+
"learning_rate": 6.25e-05,
|
225 |
+
"loss": 2.1715,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.06458123107971746,
|
230 |
+
"grad_norm": 1.9923762083053589,
|
231 |
+
"learning_rate": 6.451612903225807e-05,
|
232 |
+
"loss": 2.1212,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.06659939455095863,
|
237 |
+
"grad_norm": 2.042971611022949,
|
238 |
+
"learning_rate": 6.653225806451613e-05,
|
239 |
+
"loss": 2.0921,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.06861755802219979,
|
244 |
+
"grad_norm": 2.2022523880004883,
|
245 |
+
"learning_rate": 6.854838709677419e-05,
|
246 |
+
"loss": 2.0906,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.07063572149344097,
|
251 |
+
"grad_norm": 2.102933406829834,
|
252 |
+
"learning_rate": 7.056451612903226e-05,
|
253 |
+
"loss": 2.2652,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.07265388496468214,
|
258 |
+
"grad_norm": 2.3307838439941406,
|
259 |
+
"learning_rate": 7.258064516129033e-05,
|
260 |
+
"loss": 2.0891,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.07467204843592332,
|
265 |
+
"grad_norm": 1.9409267902374268,
|
266 |
+
"learning_rate": 7.45967741935484e-05,
|
267 |
+
"loss": 2.0769,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.07669021190716448,
|
272 |
+
"grad_norm": 1.8024511337280273,
|
273 |
+
"learning_rate": 7.661290322580645e-05,
|
274 |
+
"loss": 2.0587,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.07870837537840565,
|
279 |
+
"grad_norm": 2.0050477981567383,
|
280 |
+
"learning_rate": 7.862903225806451e-05,
|
281 |
+
"loss": 2.0375,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.08072653884964683,
|
286 |
+
"grad_norm": 3.634002923965454,
|
287 |
+
"learning_rate": 8.064516129032258e-05,
|
288 |
+
"loss": 2.0089,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.08274470232088799,
|
293 |
+
"grad_norm": 2.52044415473938,
|
294 |
+
"learning_rate": 8.266129032258066e-05,
|
295 |
+
"loss": 2.0246,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.08476286579212916,
|
300 |
+
"grad_norm": 2.014629364013672,
|
301 |
+
"learning_rate": 8.467741935483871e-05,
|
302 |
+
"loss": 2.0291,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.08678102926337034,
|
307 |
+
"grad_norm": 2.003462791442871,
|
308 |
+
"learning_rate": 8.669354838709678e-05,
|
309 |
+
"loss": 2.0223,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.08879919273461151,
|
314 |
+
"grad_norm": 2.210601329803467,
|
315 |
+
"learning_rate": 8.870967741935484e-05,
|
316 |
+
"loss": 2.0178,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.09081735620585267,
|
321 |
+
"grad_norm": 2.3255221843719482,
|
322 |
+
"learning_rate": 9.072580645161291e-05,
|
323 |
+
"loss": 2.0062,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.09283551967709384,
|
328 |
+
"grad_norm": 2.130826950073242,
|
329 |
+
"learning_rate": 9.274193548387096e-05,
|
330 |
+
"loss": 1.9744,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.09485368314833502,
|
335 |
+
"grad_norm": 2.3463449478149414,
|
336 |
+
"learning_rate": 9.475806451612904e-05,
|
337 |
+
"loss": 2.1566,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.09687184661957618,
|
342 |
+
"grad_norm": 1.9628673791885376,
|
343 |
+
"learning_rate": 9.677419354838711e-05,
|
344 |
+
"loss": 2.046,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.09889001009081735,
|
349 |
+
"grad_norm": 1.8357641696929932,
|
350 |
+
"learning_rate": 9.879032258064517e-05,
|
351 |
+
"loss": 2.121,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.10090817356205853,
|
356 |
+
"grad_norm": 2.052020788192749,
|
357 |
+
"learning_rate": 9.999995545373623e-05,
|
358 |
+
"loss": 1.9792,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.1029263370332997,
|
363 |
+
"grad_norm": 2.158012866973877,
|
364 |
+
"learning_rate": 9.999945430918042e-05,
|
365 |
+
"loss": 1.8667,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.10494450050454086,
|
370 |
+
"grad_norm": 1.946934461593628,
|
371 |
+
"learning_rate": 9.999839634283869e-05,
|
372 |
+
"loss": 2.0411,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.10696266397578204,
|
377 |
+
"grad_norm": 2.1030478477478027,
|
378 |
+
"learning_rate": 9.999678156649317e-05,
|
379 |
+
"loss": 2.0485,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.10898082744702321,
|
384 |
+
"grad_norm": 1.9499808549880981,
|
385 |
+
"learning_rate": 9.999460999812691e-05,
|
386 |
+
"loss": 1.9301,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.11099899091826437,
|
391 |
+
"grad_norm": 1.789939045906067,
|
392 |
+
"learning_rate": 9.999188166192368e-05,
|
393 |
+
"loss": 1.924,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.11301715438950555,
|
398 |
+
"grad_norm": 1.7510501146316528,
|
399 |
+
"learning_rate": 9.998859658826777e-05,
|
400 |
+
"loss": 1.9682,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.11503531786074672,
|
405 |
+
"grad_norm": 2.5464296340942383,
|
406 |
+
"learning_rate": 9.998475481374358e-05,
|
407 |
+
"loss": 2.0132,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.1170534813319879,
|
412 |
+
"grad_norm": 1.796861171722412,
|
413 |
+
"learning_rate": 9.998035638113527e-05,
|
414 |
+
"loss": 1.9089,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.11907164480322906,
|
419 |
+
"grad_norm": 2.1990606784820557,
|
420 |
+
"learning_rate": 9.997540133942624e-05,
|
421 |
+
"loss": 1.8077,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.12108980827447023,
|
426 |
+
"grad_norm": 1.6746110916137695,
|
427 |
+
"learning_rate": 9.996988974379857e-05,
|
428 |
+
"loss": 1.9023,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.1231079717457114,
|
433 |
+
"grad_norm": 1.7681794166564941,
|
434 |
+
"learning_rate": 9.996382165563247e-05,
|
435 |
+
"loss": 1.8878,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.12512613521695257,
|
440 |
+
"grad_norm": 1.6506789922714233,
|
441 |
+
"learning_rate": 9.995719714250556e-05,
|
442 |
+
"loss": 1.993,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.12714429868819374,
|
447 |
+
"grad_norm": 2.155871868133545,
|
448 |
+
"learning_rate": 9.995001627819211e-05,
|
449 |
+
"loss": 1.847,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.12916246215943492,
|
454 |
+
"grad_norm": 1.7361620664596558,
|
455 |
+
"learning_rate": 9.99422791426622e-05,
|
456 |
+
"loss": 1.8265,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.1311806256306761,
|
461 |
+
"grad_norm": 2.3019630908966064,
|
462 |
+
"learning_rate": 9.993398582208093e-05,
|
463 |
+
"loss": 1.8233,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.13319878910191726,
|
468 |
+
"grad_norm": 1.9044718742370605,
|
469 |
+
"learning_rate": 9.99251364088073e-05,
|
470 |
+
"loss": 1.9208,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.13521695257315844,
|
475 |
+
"grad_norm": 2.070833683013916,
|
476 |
+
"learning_rate": 9.991573100139334e-05,
|
477 |
+
"loss": 1.8743,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.13723511604439959,
|
482 |
+
"grad_norm": 1.8902406692504883,
|
483 |
+
"learning_rate": 9.990576970458285e-05,
|
484 |
+
"loss": 1.8131,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.13925327951564076,
|
489 |
+
"grad_norm": 2.179497718811035,
|
490 |
+
"learning_rate": 9.989525262931045e-05,
|
491 |
+
"loss": 1.816,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.14127144298688193,
|
496 |
+
"grad_norm": 2.6633455753326416,
|
497 |
+
"learning_rate": 9.988417989270011e-05,
|
498 |
+
"loss": 1.8408,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.1432896064581231,
|
503 |
+
"grad_norm": 1.8275139331817627,
|
504 |
+
"learning_rate": 9.987255161806402e-05,
|
505 |
+
"loss": 1.7789,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.14530776992936428,
|
510 |
+
"grad_norm": 1.9536734819412231,
|
511 |
+
"learning_rate": 9.986036793490112e-05,
|
512 |
+
"loss": 1.9016,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.14732593340060546,
|
517 |
+
"grad_norm": 1.7954963445663452,
|
518 |
+
"learning_rate": 9.984762897889568e-05,
|
519 |
+
"loss": 1.8267,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.14934409687184663,
|
524 |
+
"grad_norm": 1.7522506713867188,
|
525 |
+
"learning_rate": 9.983433489191581e-05,
|
526 |
+
"loss": 1.8596,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.15136226034308778,
|
531 |
+
"grad_norm": 1.799124836921692,
|
532 |
+
"learning_rate": 9.98204858220119e-05,
|
533 |
+
"loss": 1.8224,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.15338042381432895,
|
538 |
+
"grad_norm": 1.8433665037155151,
|
539 |
+
"learning_rate": 9.980608192341488e-05,
|
540 |
+
"loss": 1.8241,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.15539858728557013,
|
545 |
+
"grad_norm": 1.764257550239563,
|
546 |
+
"learning_rate": 9.979112335653462e-05,
|
547 |
+
"loss": 1.8093,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.1574167507568113,
|
552 |
+
"grad_norm": 1.8525418043136597,
|
553 |
+
"learning_rate": 9.977561028795803e-05,
|
554 |
+
"loss": 1.7784,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.15943491422805248,
|
559 |
+
"grad_norm": 2.0689351558685303,
|
560 |
+
"learning_rate": 9.97595428904473e-05,
|
561 |
+
"loss": 1.8073,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.16145307769929365,
|
566 |
+
"grad_norm": 1.7697125673294067,
|
567 |
+
"learning_rate": 9.974292134293792e-05,
|
568 |
+
"loss": 1.804,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.16347124117053483,
|
573 |
+
"grad_norm": 1.8966635465621948,
|
574 |
+
"learning_rate": 9.97257458305367e-05,
|
575 |
+
"loss": 1.8198,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.16548940464177597,
|
580 |
+
"grad_norm": 1.6123894453048706,
|
581 |
+
"learning_rate": 9.970801654451973e-05,
|
582 |
+
"loss": 1.7637,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.16750756811301715,
|
587 |
+
"grad_norm": 1.6604522466659546,
|
588 |
+
"learning_rate": 9.968973368233022e-05,
|
589 |
+
"loss": 1.7528,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.16952573158425832,
|
594 |
+
"grad_norm": 1.8791446685791016,
|
595 |
+
"learning_rate": 9.96708974475763e-05,
|
596 |
+
"loss": 1.7687,
|
597 |
+
"step": 840
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.1715438950554995,
|
601 |
+
"grad_norm": 2.045793056488037,
|
602 |
+
"learning_rate": 9.965150805002878e-05,
|
603 |
+
"loss": 1.8325,
|
604 |
+
"step": 850
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.17356205852674067,
|
608 |
+
"grad_norm": 1.8702943325042725,
|
609 |
+
"learning_rate": 9.963156570561878e-05,
|
610 |
+
"loss": 1.712,
|
611 |
+
"step": 860
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.17558022199798184,
|
615 |
+
"grad_norm": 1.9760271310806274,
|
616 |
+
"learning_rate": 9.96110706364354e-05,
|
617 |
+
"loss": 1.8057,
|
618 |
+
"step": 870
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.17759838546922302,
|
622 |
+
"grad_norm": 1.9553672075271606,
|
623 |
+
"learning_rate": 9.959002307072312e-05,
|
624 |
+
"loss": 1.7453,
|
625 |
+
"step": 880
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.17961654894046417,
|
629 |
+
"grad_norm": 1.989668607711792,
|
630 |
+
"learning_rate": 9.956842324287936e-05,
|
631 |
+
"loss": 1.9109,
|
632 |
+
"step": 890
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.18163471241170534,
|
636 |
+
"grad_norm": 1.766709566116333,
|
637 |
+
"learning_rate": 9.954627139345186e-05,
|
638 |
+
"loss": 1.7539,
|
639 |
+
"step": 900
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.18365287588294651,
|
643 |
+
"grad_norm": 1.933042287826538,
|
644 |
+
"learning_rate": 9.952356776913594e-05,
|
645 |
+
"loss": 1.8372,
|
646 |
+
"step": 910
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.1856710393541877,
|
650 |
+
"grad_norm": 1.717915415763855,
|
651 |
+
"learning_rate": 9.950031262277183e-05,
|
652 |
+
"loss": 1.8199,
|
653 |
+
"step": 920
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.18768920282542886,
|
657 |
+
"grad_norm": 9.502272605895996,
|
658 |
+
"learning_rate": 9.947650621334179e-05,
|
659 |
+
"loss": 1.814,
|
660 |
+
"step": 930
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.18970736629667004,
|
664 |
+
"grad_norm": 2.0936007499694824,
|
665 |
+
"learning_rate": 9.945214880596725e-05,
|
666 |
+
"loss": 1.7535,
|
667 |
+
"step": 940
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.1917255297679112,
|
671 |
+
"grad_norm": 2.1896564960479736,
|
672 |
+
"learning_rate": 9.94272406719059e-05,
|
673 |
+
"loss": 1.772,
|
674 |
+
"step": 950
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.19374369323915236,
|
678 |
+
"grad_norm": 1.951393723487854,
|
679 |
+
"learning_rate": 9.940178208854858e-05,
|
680 |
+
"loss": 1.7976,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.19576185671039353,
|
685 |
+
"grad_norm": 1.8681849241256714,
|
686 |
+
"learning_rate": 9.937577333941626e-05,
|
687 |
+
"loss": 1.662,
|
688 |
+
"step": 970
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.1977800201816347,
|
692 |
+
"grad_norm": 1.8085284233093262,
|
693 |
+
"learning_rate": 9.934921471415687e-05,
|
694 |
+
"loss": 1.7778,
|
695 |
+
"step": 980
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.19979818365287588,
|
699 |
+
"grad_norm": 2.0100769996643066,
|
700 |
+
"learning_rate": 9.932210650854205e-05,
|
701 |
+
"loss": 1.7732,
|
702 |
+
"step": 990
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.20181634712411706,
|
706 |
+
"grad_norm": 1.6803241968154907,
|
707 |
+
"learning_rate": 9.929444902446392e-05,
|
708 |
+
"loss": 1.7685,
|
709 |
+
"step": 1000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.20383451059535823,
|
713 |
+
"grad_norm": 1.8448835611343384,
|
714 |
+
"learning_rate": 9.92662425699316e-05,
|
715 |
+
"loss": 1.7719,
|
716 |
+
"step": 1010
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.2058526740665994,
|
720 |
+
"grad_norm": 1.8499823808670044,
|
721 |
+
"learning_rate": 9.923748745906789e-05,
|
722 |
+
"loss": 1.8417,
|
723 |
+
"step": 1020
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.20787083753784055,
|
727 |
+
"grad_norm": 1.7802287340164185,
|
728 |
+
"learning_rate": 9.920818401210574e-05,
|
729 |
+
"loss": 1.7677,
|
730 |
+
"step": 1030
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.20988900100908173,
|
734 |
+
"grad_norm": 2.019920587539673,
|
735 |
+
"learning_rate": 9.917833255538467e-05,
|
736 |
+
"loss": 1.8071,
|
737 |
+
"step": 1040
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.2119071644803229,
|
741 |
+
"grad_norm": 1.838690161705017,
|
742 |
+
"learning_rate": 9.914793342134711e-05,
|
743 |
+
"loss": 1.7962,
|
744 |
+
"step": 1050
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.21392532795156408,
|
748 |
+
"grad_norm": 2.0018012523651123,
|
749 |
+
"learning_rate": 9.911698694853477e-05,
|
750 |
+
"loss": 1.7135,
|
751 |
+
"step": 1060
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.21594349142280525,
|
755 |
+
"grad_norm": 1.905208706855774,
|
756 |
+
"learning_rate": 9.908549348158485e-05,
|
757 |
+
"loss": 1.9039,
|
758 |
+
"step": 1070
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.21796165489404642,
|
762 |
+
"grad_norm": 2.0252766609191895,
|
763 |
+
"learning_rate": 9.905345337122609e-05,
|
764 |
+
"loss": 1.8479,
|
765 |
+
"step": 1080
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.2199798183652876,
|
769 |
+
"grad_norm": 1.7580780982971191,
|
770 |
+
"learning_rate": 9.902086697427504e-05,
|
771 |
+
"loss": 1.8081,
|
772 |
+
"step": 1090
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.22199798183652875,
|
776 |
+
"grad_norm": 1.7557222843170166,
|
777 |
+
"learning_rate": 9.8987734653632e-05,
|
778 |
+
"loss": 1.6225,
|
779 |
+
"step": 1100
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.22401614530776992,
|
783 |
+
"grad_norm": 1.779552936553955,
|
784 |
+
"learning_rate": 9.895405677827692e-05,
|
785 |
+
"loss": 1.674,
|
786 |
+
"step": 1110
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.2260343087790111,
|
790 |
+
"grad_norm": 1.6549618244171143,
|
791 |
+
"learning_rate": 9.89198337232654e-05,
|
792 |
+
"loss": 1.6844,
|
793 |
+
"step": 1120
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.22805247225025227,
|
797 |
+
"grad_norm": 1.816671371459961,
|
798 |
+
"learning_rate": 9.888506586972446e-05,
|
799 |
+
"loss": 1.7142,
|
800 |
+
"step": 1130
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.23007063572149344,
|
804 |
+
"grad_norm": 1.7347807884216309,
|
805 |
+
"learning_rate": 9.884975360484827e-05,
|
806 |
+
"loss": 1.8952,
|
807 |
+
"step": 1140
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.23208879919273462,
|
811 |
+
"grad_norm": 1.9305518865585327,
|
812 |
+
"learning_rate": 9.881389732189392e-05,
|
813 |
+
"loss": 1.7851,
|
814 |
+
"step": 1150
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.2341069626639758,
|
818 |
+
"grad_norm": 1.5616772174835205,
|
819 |
+
"learning_rate": 9.877749742017694e-05,
|
820 |
+
"loss": 1.7088,
|
821 |
+
"step": 1160
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.23612512613521694,
|
825 |
+
"grad_norm": 1.8221651315689087,
|
826 |
+
"learning_rate": 9.874055430506691e-05,
|
827 |
+
"loss": 1.6248,
|
828 |
+
"step": 1170
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.23814328960645811,
|
832 |
+
"grad_norm": 1.7022042274475098,
|
833 |
+
"learning_rate": 9.870306838798297e-05,
|
834 |
+
"loss": 1.669,
|
835 |
+
"step": 1180
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.2401614530776993,
|
839 |
+
"grad_norm": 1.7719357013702393,
|
840 |
+
"learning_rate": 9.866504008638917e-05,
|
841 |
+
"loss": 1.7587,
|
842 |
+
"step": 1190
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.24217961654894046,
|
846 |
+
"grad_norm": 1.9335434436798096,
|
847 |
+
"learning_rate": 9.862646982378987e-05,
|
848 |
+
"loss": 1.8279,
|
849 |
+
"step": 1200
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.24419778002018164,
|
853 |
+
"grad_norm": 1.7225123643875122,
|
854 |
+
"learning_rate": 9.8587358029725e-05,
|
855 |
+
"loss": 1.7519,
|
856 |
+
"step": 1210
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.2462159434914228,
|
860 |
+
"grad_norm": 1.6799899339675903,
|
861 |
+
"learning_rate": 9.854770513976531e-05,
|
862 |
+
"loss": 1.6876,
|
863 |
+
"step": 1220
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.248234106962664,
|
867 |
+
"grad_norm": 1.7735378742218018,
|
868 |
+
"learning_rate": 9.850751159550746e-05,
|
869 |
+
"loss": 1.687,
|
870 |
+
"step": 1230
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.25025227043390513,
|
874 |
+
"grad_norm": 1.9135595560073853,
|
875 |
+
"learning_rate": 9.846677784456918e-05,
|
876 |
+
"loss": 1.785,
|
877 |
+
"step": 1240
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.2522704339051463,
|
881 |
+
"grad_norm": 1.684078335762024,
|
882 |
+
"learning_rate": 9.842550434058421e-05,
|
883 |
+
"loss": 1.6777,
|
884 |
+
"step": 1250
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.2542885973763875,
|
888 |
+
"grad_norm": 1.8692346811294556,
|
889 |
+
"learning_rate": 9.838369154319728e-05,
|
890 |
+
"loss": 1.8198,
|
891 |
+
"step": 1260
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.25630676084762866,
|
895 |
+
"grad_norm": 1.526811957359314,
|
896 |
+
"learning_rate": 9.8341339918059e-05,
|
897 |
+
"loss": 1.6035,
|
898 |
+
"step": 1270
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.25832492431886983,
|
902 |
+
"grad_norm": 1.8684613704681396,
|
903 |
+
"learning_rate": 9.82984499368207e-05,
|
904 |
+
"loss": 1.7229,
|
905 |
+
"step": 1280
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.260343087790111,
|
909 |
+
"grad_norm": 1.9074355363845825,
|
910 |
+
"learning_rate": 9.825502207712909e-05,
|
911 |
+
"loss": 1.6801,
|
912 |
+
"step": 1290
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.2623612512613522,
|
916 |
+
"grad_norm": 1.5898246765136719,
|
917 |
+
"learning_rate": 9.821105682262099e-05,
|
918 |
+
"loss": 1.6945,
|
919 |
+
"step": 1300
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.26437941473259335,
|
923 |
+
"grad_norm": 1.633530616760254,
|
924 |
+
"learning_rate": 9.816655466291803e-05,
|
925 |
+
"loss": 1.723,
|
926 |
+
"step": 1310
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.26639757820383453,
|
930 |
+
"grad_norm": 1.637403130531311,
|
931 |
+
"learning_rate": 9.812151609362102e-05,
|
932 |
+
"loss": 1.6019,
|
933 |
+
"step": 1320
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.2684157416750757,
|
937 |
+
"grad_norm": 1.7958626747131348,
|
938 |
+
"learning_rate": 9.807594161630458e-05,
|
939 |
+
"loss": 1.5707,
|
940 |
+
"step": 1330
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.2704339051463169,
|
944 |
+
"grad_norm": 1.7324177026748657,
|
945 |
+
"learning_rate": 9.802983173851149e-05,
|
946 |
+
"loss": 1.6786,
|
947 |
+
"step": 1340
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.272452068617558,
|
951 |
+
"grad_norm": 1.55552339553833,
|
952 |
+
"learning_rate": 9.798318697374702e-05,
|
953 |
+
"loss": 1.6684,
|
954 |
+
"step": 1350
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.27447023208879917,
|
958 |
+
"grad_norm": 1.7341140508651733,
|
959 |
+
"learning_rate": 9.79360078414733e-05,
|
960 |
+
"loss": 1.6447,
|
961 |
+
"step": 1360
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.27648839556004035,
|
965 |
+
"grad_norm": 1.8685839176177979,
|
966 |
+
"learning_rate": 9.78882948671034e-05,
|
967 |
+
"loss": 1.6794,
|
968 |
+
"step": 1370
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.2785065590312815,
|
972 |
+
"grad_norm": 1.783153772354126,
|
973 |
+
"learning_rate": 9.784004858199563e-05,
|
974 |
+
"loss": 1.7196,
|
975 |
+
"step": 1380
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.2805247225025227,
|
979 |
+
"grad_norm": 1.7783135175704956,
|
980 |
+
"learning_rate": 9.779126952344748e-05,
|
981 |
+
"loss": 1.6273,
|
982 |
+
"step": 1390
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.28254288597376387,
|
986 |
+
"grad_norm": 1.6643409729003906,
|
987 |
+
"learning_rate": 9.774195823468973e-05,
|
988 |
+
"loss": 1.6116,
|
989 |
+
"step": 1400
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.28456104944500504,
|
993 |
+
"grad_norm": 1.7578685283660889,
|
994 |
+
"learning_rate": 9.769211526488038e-05,
|
995 |
+
"loss": 1.6021,
|
996 |
+
"step": 1410
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.2865792129162462,
|
1000 |
+
"grad_norm": 1.5535609722137451,
|
1001 |
+
"learning_rate": 9.764174116909852e-05,
|
1002 |
+
"loss": 1.7308,
|
1003 |
+
"step": 1420
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.2885973763874874,
|
1007 |
+
"grad_norm": 1.8649767637252808,
|
1008 |
+
"learning_rate": 9.759083650833815e-05,
|
1009 |
+
"loss": 1.7038,
|
1010 |
+
"step": 1430
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.29061553985872857,
|
1014 |
+
"grad_norm": 1.589314341545105,
|
1015 |
+
"learning_rate": 9.753940184950192e-05,
|
1016 |
+
"loss": 1.6144,
|
1017 |
+
"step": 1440
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.29263370332996974,
|
1021 |
+
"grad_norm": 1.9105316400527954,
|
1022 |
+
"learning_rate": 9.748743776539488e-05,
|
1023 |
+
"loss": 1.7696,
|
1024 |
+
"step": 1450
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.2946518668012109,
|
1028 |
+
"grad_norm": 1.9593696594238281,
|
1029 |
+
"learning_rate": 9.743494483471801e-05,
|
1030 |
+
"loss": 1.6077,
|
1031 |
+
"step": 1460
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.2966700302724521,
|
1035 |
+
"grad_norm": 1.767230749130249,
|
1036 |
+
"learning_rate": 9.738192364206185e-05,
|
1037 |
+
"loss": 1.6627,
|
1038 |
+
"step": 1470
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.29868819374369326,
|
1042 |
+
"grad_norm": 1.7512140274047852,
|
1043 |
+
"learning_rate": 9.732837477789993e-05,
|
1044 |
+
"loss": 1.6611,
|
1045 |
+
"step": 1480
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.3007063572149344,
|
1049 |
+
"grad_norm": 1.9849492311477661,
|
1050 |
+
"learning_rate": 9.727429883858227e-05,
|
1051 |
+
"loss": 1.6493,
|
1052 |
+
"step": 1490
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.30272452068617556,
|
1056 |
+
"grad_norm": 1.7700562477111816,
|
1057 |
+
"learning_rate": 9.721969642632865e-05,
|
1058 |
+
"loss": 1.5956,
|
1059 |
+
"step": 1500
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.30474268415741673,
|
1063 |
+
"grad_norm": 1.5900918245315552,
|
1064 |
+
"learning_rate": 9.716456814922196e-05,
|
1065 |
+
"loss": 1.5717,
|
1066 |
+
"step": 1510
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.3067608476286579,
|
1070 |
+
"grad_norm": 1.5321190357208252,
|
1071 |
+
"learning_rate": 9.710891462120141e-05,
|
1072 |
+
"loss": 1.6783,
|
1073 |
+
"step": 1520
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.3087790110998991,
|
1077 |
+
"grad_norm": 1.8479689359664917,
|
1078 |
+
"learning_rate": 9.70527364620557e-05,
|
1079 |
+
"loss": 1.7176,
|
1080 |
+
"step": 1530
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.31079717457114026,
|
1084 |
+
"grad_norm": 1.5251414775848389,
|
1085 |
+
"learning_rate": 9.699603429741615e-05,
|
1086 |
+
"loss": 1.6911,
|
1087 |
+
"step": 1540
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.31281533804238143,
|
1091 |
+
"grad_norm": 1.658829927444458,
|
1092 |
+
"learning_rate": 9.693880875874961e-05,
|
1093 |
+
"loss": 1.8104,
|
1094 |
+
"step": 1550
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.3148335015136226,
|
1098 |
+
"grad_norm": 1.8885022401809692,
|
1099 |
+
"learning_rate": 9.68810604833516e-05,
|
1100 |
+
"loss": 1.5729,
|
1101 |
+
"step": 1560
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.3168516649848638,
|
1105 |
+
"grad_norm": 1.5589392185211182,
|
1106 |
+
"learning_rate": 9.682279011433908e-05,
|
1107 |
+
"loss": 1.7939,
|
1108 |
+
"step": 1570
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.31886982845610495,
|
1112 |
+
"grad_norm": 1.6108678579330444,
|
1113 |
+
"learning_rate": 9.676399830064339e-05,
|
1114 |
+
"loss": 1.5793,
|
1115 |
+
"step": 1580
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.32088799192734613,
|
1119 |
+
"grad_norm": 1.651929259300232,
|
1120 |
+
"learning_rate": 9.670468569700288e-05,
|
1121 |
+
"loss": 1.6892,
|
1122 |
+
"step": 1590
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.3229061553985873,
|
1126 |
+
"grad_norm": 1.899056077003479,
|
1127 |
+
"learning_rate": 9.664485296395578e-05,
|
1128 |
+
"loss": 1.5486,
|
1129 |
+
"step": 1600
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.3249243188698285,
|
1133 |
+
"grad_norm": 1.6485919952392578,
|
1134 |
+
"learning_rate": 9.658450076783274e-05,
|
1135 |
+
"loss": 1.6536,
|
1136 |
+
"step": 1610
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.32694248234106965,
|
1140 |
+
"grad_norm": 1.6275869607925415,
|
1141 |
+
"learning_rate": 9.652362978074947e-05,
|
1142 |
+
"loss": 1.6136,
|
1143 |
+
"step": 1620
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.32896064581231077,
|
1147 |
+
"grad_norm": 1.6739528179168701,
|
1148 |
+
"learning_rate": 9.646224068059917e-05,
|
1149 |
+
"loss": 1.7081,
|
1150 |
+
"step": 1630
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.33097880928355194,
|
1154 |
+
"grad_norm": 1.6004359722137451,
|
1155 |
+
"learning_rate": 9.640033415104508e-05,
|
1156 |
+
"loss": 1.6391,
|
1157 |
+
"step": 1640
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.3329969727547931,
|
1161 |
+
"grad_norm": 1.5969157218933105,
|
1162 |
+
"learning_rate": 9.633791088151283e-05,
|
1163 |
+
"loss": 1.5738,
|
1164 |
+
"step": 1650
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.3350151362260343,
|
1168 |
+
"grad_norm": 1.7182707786560059,
|
1169 |
+
"learning_rate": 9.627497156718271e-05,
|
1170 |
+
"loss": 1.7195,
|
1171 |
+
"step": 1660
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.33703329969727547,
|
1175 |
+
"grad_norm": 1.680814504623413,
|
1176 |
+
"learning_rate": 9.621151690898203e-05,
|
1177 |
+
"loss": 1.626,
|
1178 |
+
"step": 1670
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.33905146316851664,
|
1182 |
+
"grad_norm": 2.010774612426758,
|
1183 |
+
"learning_rate": 9.614754761357718e-05,
|
1184 |
+
"loss": 1.8037,
|
1185 |
+
"step": 1680
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.3410696266397578,
|
1189 |
+
"grad_norm": 1.6631429195404053,
|
1190 |
+
"learning_rate": 9.608306439336592e-05,
|
1191 |
+
"loss": 1.7439,
|
1192 |
+
"step": 1690
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.343087790110999,
|
1196 |
+
"grad_norm": 1.5902904272079468,
|
1197 |
+
"learning_rate": 9.60180679664693e-05,
|
1198 |
+
"loss": 1.6691,
|
1199 |
+
"step": 1700
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.34510595358224017,
|
1203 |
+
"grad_norm": 1.7272005081176758,
|
1204 |
+
"learning_rate": 9.595255905672377e-05,
|
1205 |
+
"loss": 1.5521,
|
1206 |
+
"step": 1710
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.34712411705348134,
|
1210 |
+
"grad_norm": 1.6618432998657227,
|
1211 |
+
"learning_rate": 9.588653839367302e-05,
|
1212 |
+
"loss": 1.5553,
|
1213 |
+
"step": 1720
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.3491422805247225,
|
1217 |
+
"grad_norm": 1.6251617670059204,
|
1218 |
+
"learning_rate": 9.582000671256e-05,
|
1219 |
+
"loss": 1.6653,
|
1220 |
+
"step": 1730
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.3511604439959637,
|
1224 |
+
"grad_norm": 2.123147487640381,
|
1225 |
+
"learning_rate": 9.575296475431855e-05,
|
1226 |
+
"loss": 1.6303,
|
1227 |
+
"step": 1740
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.35317860746720486,
|
1231 |
+
"grad_norm": 1.7185384035110474,
|
1232 |
+
"learning_rate": 9.568541326556527e-05,
|
1233 |
+
"loss": 1.5665,
|
1234 |
+
"step": 1750
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.35519677093844604,
|
1238 |
+
"grad_norm": 1.6353096961975098,
|
1239 |
+
"learning_rate": 9.56173529985912e-05,
|
1240 |
+
"loss": 1.6406,
|
1241 |
+
"step": 1760
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.35721493440968716,
|
1245 |
+
"grad_norm": 1.5363441705703735,
|
1246 |
+
"learning_rate": 9.554878471135339e-05,
|
1247 |
+
"loss": 1.6211,
|
1248 |
+
"step": 1770
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.35923309788092833,
|
1252 |
+
"grad_norm": 1.7037582397460938,
|
1253 |
+
"learning_rate": 9.547970916746649e-05,
|
1254 |
+
"loss": 1.617,
|
1255 |
+
"step": 1780
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.3612512613521695,
|
1259 |
+
"grad_norm": 1.7400474548339844,
|
1260 |
+
"learning_rate": 9.541012713619428e-05,
|
1261 |
+
"loss": 1.5177,
|
1262 |
+
"step": 1790
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.3632694248234107,
|
1266 |
+
"grad_norm": 1.3855012655258179,
|
1267 |
+
"learning_rate": 9.5340039392441e-05,
|
1268 |
+
"loss": 1.5964,
|
1269 |
+
"step": 1800
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.36528758829465185,
|
1273 |
+
"grad_norm": 1.669772744178772,
|
1274 |
+
"learning_rate": 9.526944671674286e-05,
|
1275 |
+
"loss": 1.5476,
|
1276 |
+
"step": 1810
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.36730575176589303,
|
1280 |
+
"grad_norm": 1.547868251800537,
|
1281 |
+
"learning_rate": 9.51983498952592e-05,
|
1282 |
+
"loss": 1.7272,
|
1283 |
+
"step": 1820
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.3693239152371342,
|
1287 |
+
"grad_norm": 1.9002543687820435,
|
1288 |
+
"learning_rate": 9.512674971976385e-05,
|
1289 |
+
"loss": 1.4606,
|
1290 |
+
"step": 1830
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.3713420787083754,
|
1294 |
+
"grad_norm": 1.597686767578125,
|
1295 |
+
"learning_rate": 9.505464698763629e-05,
|
1296 |
+
"loss": 1.5597,
|
1297 |
+
"step": 1840
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.37336024217961655,
|
1301 |
+
"grad_norm": 1.425994634628296,
|
1302 |
+
"learning_rate": 9.49820425018527e-05,
|
1303 |
+
"loss": 1.5451,
|
1304 |
+
"step": 1850
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.3753784056508577,
|
1308 |
+
"grad_norm": 2.0066096782684326,
|
1309 |
+
"learning_rate": 9.49089370709771e-05,
|
1310 |
+
"loss": 1.6121,
|
1311 |
+
"step": 1860
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.3773965691220989,
|
1315 |
+
"grad_norm": 1.5784003734588623,
|
1316 |
+
"learning_rate": 9.483533150915229e-05,
|
1317 |
+
"loss": 1.6218,
|
1318 |
+
"step": 1870
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.3794147325933401,
|
1322 |
+
"grad_norm": 1.843019723892212,
|
1323 |
+
"learning_rate": 9.476122663609086e-05,
|
1324 |
+
"loss": 1.6694,
|
1325 |
+
"step": 1880
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.38143289606458125,
|
1329 |
+
"grad_norm": 1.7118667364120483,
|
1330 |
+
"learning_rate": 9.468662327706594e-05,
|
1331 |
+
"loss": 1.5564,
|
1332 |
+
"step": 1890
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.3834510595358224,
|
1336 |
+
"grad_norm": 1.6396056413650513,
|
1337 |
+
"learning_rate": 9.461152226290212e-05,
|
1338 |
+
"loss": 1.6626,
|
1339 |
+
"step": 1900
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.3854692230070636,
|
1343 |
+
"grad_norm": 1.4227858781814575,
|
1344 |
+
"learning_rate": 9.453592442996614e-05,
|
1345 |
+
"loss": 1.5375,
|
1346 |
+
"step": 1910
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.3874873864783047,
|
1350 |
+
"grad_norm": 1.6100040674209595,
|
1351 |
+
"learning_rate": 9.445983062015761e-05,
|
1352 |
+
"loss": 1.4965,
|
1353 |
+
"step": 1920
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.3895055499495459,
|
1357 |
+
"grad_norm": 1.6516296863555908,
|
1358 |
+
"learning_rate": 9.43832416808996e-05,
|
1359 |
+
"loss": 1.5941,
|
1360 |
+
"step": 1930
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.39152371342078707,
|
1364 |
+
"grad_norm": 1.6929583549499512,
|
1365 |
+
"learning_rate": 9.430615846512923e-05,
|
1366 |
+
"loss": 1.6325,
|
1367 |
+
"step": 1940
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.39354187689202824,
|
1371 |
+
"grad_norm": 1.5503323078155518,
|
1372 |
+
"learning_rate": 9.422858183128808e-05,
|
1373 |
+
"loss": 1.6673,
|
1374 |
+
"step": 1950
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.3955600403632694,
|
1378 |
+
"grad_norm": 1.7053431272506714,
|
1379 |
+
"learning_rate": 9.415051264331285e-05,
|
1380 |
+
"loss": 1.4846,
|
1381 |
+
"step": 1960
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.3975782038345106,
|
1385 |
+
"grad_norm": 1.7111166715621948,
|
1386 |
+
"learning_rate": 9.407195177062549e-05,
|
1387 |
+
"loss": 1.598,
|
1388 |
+
"step": 1970
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.39959636730575177,
|
1392 |
+
"grad_norm": 1.728541374206543,
|
1393 |
+
"learning_rate": 9.399290008812365e-05,
|
1394 |
+
"loss": 1.4917,
|
1395 |
+
"step": 1980
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.40161453077699294,
|
1399 |
+
"grad_norm": 1.6542996168136597,
|
1400 |
+
"learning_rate": 9.391335847617093e-05,
|
1401 |
+
"loss": 1.6358,
|
1402 |
+
"step": 1990
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.4036326942482341,
|
1406 |
+
"grad_norm": 1.4176194667816162,
|
1407 |
+
"learning_rate": 9.383332782058705e-05,
|
1408 |
+
"loss": 1.6766,
|
1409 |
+
"step": 2000
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.4056508577194753,
|
1413 |
+
"grad_norm": 1.4830904006958008,
|
1414 |
+
"learning_rate": 9.375280901263796e-05,
|
1415 |
+
"loss": 1.5902,
|
1416 |
+
"step": 2010
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.40766902119071646,
|
1420 |
+
"grad_norm": 1.6302123069763184,
|
1421 |
+
"learning_rate": 9.367180294902603e-05,
|
1422 |
+
"loss": 1.613,
|
1423 |
+
"step": 2020
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.40968718466195764,
|
1427 |
+
"grad_norm": 1.4098937511444092,
|
1428 |
+
"learning_rate": 9.359031053187988e-05,
|
1429 |
+
"loss": 1.5243,
|
1430 |
+
"step": 2030
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.4117053481331988,
|
1434 |
+
"grad_norm": 2.8872201442718506,
|
1435 |
+
"learning_rate": 9.350833266874451e-05,
|
1436 |
+
"loss": 1.5927,
|
1437 |
+
"step": 2040
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.41372351160444,
|
1441 |
+
"grad_norm": 2.0234012603759766,
|
1442 |
+
"learning_rate": 9.342587027257104e-05,
|
1443 |
+
"loss": 1.7196,
|
1444 |
+
"step": 2050
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.4157416750756811,
|
1448 |
+
"grad_norm": 1.7716432809829712,
|
1449 |
+
"learning_rate": 9.334292426170672e-05,
|
1450 |
+
"loss": 1.6426,
|
1451 |
+
"step": 2060
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.4177598385469223,
|
1455 |
+
"grad_norm": 1.5563617944717407,
|
1456 |
+
"learning_rate": 9.325949555988452e-05,
|
1457 |
+
"loss": 1.6418,
|
1458 |
+
"step": 2070
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.41977800201816345,
|
1462 |
+
"grad_norm": 1.4168179035186768,
|
1463 |
+
"learning_rate": 9.317558509621296e-05,
|
1464 |
+
"loss": 1.6293,
|
1465 |
+
"step": 2080
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.42179616548940463,
|
1469 |
+
"grad_norm": 1.492793321609497,
|
1470 |
+
"learning_rate": 9.309119380516573e-05,
|
1471 |
+
"loss": 1.5355,
|
1472 |
+
"step": 2090
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.4238143289606458,
|
1476 |
+
"grad_norm": 1.7277498245239258,
|
1477 |
+
"learning_rate": 9.300632262657128e-05,
|
1478 |
+
"loss": 1.6541,
|
1479 |
+
"step": 2100
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.425832492431887,
|
1483 |
+
"grad_norm": 1.7189927101135254,
|
1484 |
+
"learning_rate": 9.292097250560232e-05,
|
1485 |
+
"loss": 1.7026,
|
1486 |
+
"step": 2110
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.42785065590312815,
|
1490 |
+
"grad_norm": 1.4795873165130615,
|
1491 |
+
"learning_rate": 9.283514439276539e-05,
|
1492 |
+
"loss": 1.5959,
|
1493 |
+
"step": 2120
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.4298688193743693,
|
1497 |
+
"grad_norm": 1.5818445682525635,
|
1498 |
+
"learning_rate": 9.274883924389018e-05,
|
1499 |
+
"loss": 1.6147,
|
1500 |
+
"step": 2130
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.4318869828456105,
|
1504 |
+
"grad_norm": 1.4752700328826904,
|
1505 |
+
"learning_rate": 9.266205802011892e-05,
|
1506 |
+
"loss": 1.6281,
|
1507 |
+
"step": 2140
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.4339051463168517,
|
1511 |
+
"grad_norm": 1.4389899969100952,
|
1512 |
+
"learning_rate": 9.257480168789565e-05,
|
1513 |
+
"loss": 1.5655,
|
1514 |
+
"step": 2150
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.43592330978809285,
|
1518 |
+
"grad_norm": 1.4133797883987427,
|
1519 |
+
"learning_rate": 9.248707121895555e-05,
|
1520 |
+
"loss": 1.6437,
|
1521 |
+
"step": 2160
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.437941473259334,
|
1525 |
+
"grad_norm": 1.9490972757339478,
|
1526 |
+
"learning_rate": 9.239886759031398e-05,
|
1527 |
+
"loss": 1.4673,
|
1528 |
+
"step": 2170
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.4399596367305752,
|
1532 |
+
"grad_norm": 1.6025413274765015,
|
1533 |
+
"learning_rate": 9.231019178425573e-05,
|
1534 |
+
"loss": 1.6627,
|
1535 |
+
"step": 2180
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.4419778002018164,
|
1539 |
+
"grad_norm": 1.5877257585525513,
|
1540 |
+
"learning_rate": 9.222104478832398e-05,
|
1541 |
+
"loss": 1.5995,
|
1542 |
+
"step": 2190
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.4439959636730575,
|
1546 |
+
"grad_norm": 1.5336265563964844,
|
1547 |
+
"learning_rate": 9.213142759530936e-05,
|
1548 |
+
"loss": 1.5419,
|
1549 |
+
"step": 2200
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.44601412714429867,
|
1553 |
+
"grad_norm": 1.4506264925003052,
|
1554 |
+
"learning_rate": 9.204134120323883e-05,
|
1555 |
+
"loss": 1.6579,
|
1556 |
+
"step": 2210
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.44803229061553984,
|
1560 |
+
"grad_norm": 1.896984338760376,
|
1561 |
+
"learning_rate": 9.195078661536471e-05,
|
1562 |
+
"loss": 1.5389,
|
1563 |
+
"step": 2220
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.450050454086781,
|
1567 |
+
"grad_norm": 1.4249799251556396,
|
1568 |
+
"learning_rate": 9.185976484015333e-05,
|
1569 |
+
"loss": 1.5563,
|
1570 |
+
"step": 2230
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.4520686175580222,
|
1574 |
+
"grad_norm": 1.5877562761306763,
|
1575 |
+
"learning_rate": 9.176827689127389e-05,
|
1576 |
+
"loss": 1.6289,
|
1577 |
+
"step": 2240
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.45408678102926336,
|
1581 |
+
"grad_norm": 1.5677759647369385,
|
1582 |
+
"learning_rate": 9.167632378758719e-05,
|
1583 |
+
"loss": 1.4721,
|
1584 |
+
"step": 2250
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.45610494450050454,
|
1588 |
+
"grad_norm": 1.6074806451797485,
|
1589 |
+
"learning_rate": 9.158390655313422e-05,
|
1590 |
+
"loss": 1.6101,
|
1591 |
+
"step": 2260
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.4581231079717457,
|
1595 |
+
"grad_norm": 1.6484979391098022,
|
1596 |
+
"learning_rate": 9.149102621712482e-05,
|
1597 |
+
"loss": 1.51,
|
1598 |
+
"step": 2270
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.4601412714429869,
|
1602 |
+
"grad_norm": 1.7982864379882812,
|
1603 |
+
"learning_rate": 9.139768381392616e-05,
|
1604 |
+
"loss": 1.6383,
|
1605 |
+
"step": 2280
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.46215943491422806,
|
1609 |
+
"grad_norm": 2.003589391708374,
|
1610 |
+
"learning_rate": 9.130388038305127e-05,
|
1611 |
+
"loss": 1.6297,
|
1612 |
+
"step": 2290
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.46417759838546924,
|
1616 |
+
"grad_norm": 1.659283995628357,
|
1617 |
+
"learning_rate": 9.12096169691474e-05,
|
1618 |
+
"loss": 1.6508,
|
1619 |
+
"step": 2300
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.4661957618567104,
|
1623 |
+
"grad_norm": 1.4378119707107544,
|
1624 |
+
"learning_rate": 9.111489462198448e-05,
|
1625 |
+
"loss": 1.5852,
|
1626 |
+
"step": 2310
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.4682139253279516,
|
1630 |
+
"grad_norm": 1.7221019268035889,
|
1631 |
+
"learning_rate": 9.101971439644335e-05,
|
1632 |
+
"loss": 1.5671,
|
1633 |
+
"step": 2320
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.47023208879919276,
|
1637 |
+
"grad_norm": 1.6366978883743286,
|
1638 |
+
"learning_rate": 9.092407735250404e-05,
|
1639 |
+
"loss": 1.6594,
|
1640 |
+
"step": 2330
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.4722502522704339,
|
1644 |
+
"grad_norm": 1.7291353940963745,
|
1645 |
+
"learning_rate": 9.082798455523396e-05,
|
1646 |
+
"loss": 1.5025,
|
1647 |
+
"step": 2340
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.47426841574167505,
|
1651 |
+
"grad_norm": 1.6143367290496826,
|
1652 |
+
"learning_rate": 9.073143707477607e-05,
|
1653 |
+
"loss": 1.6939,
|
1654 |
+
"step": 2350
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.47628657921291623,
|
1658 |
+
"grad_norm": 1.5067676305770874,
|
1659 |
+
"learning_rate": 9.063443598633688e-05,
|
1660 |
+
"loss": 1.5281,
|
1661 |
+
"step": 2360
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.4783047426841574,
|
1665 |
+
"grad_norm": 1.5984981060028076,
|
1666 |
+
"learning_rate": 9.053698237017459e-05,
|
1667 |
+
"loss": 1.5932,
|
1668 |
+
"step": 2370
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.4803229061553986,
|
1672 |
+
"grad_norm": 1.7212659120559692,
|
1673 |
+
"learning_rate": 9.043907731158699e-05,
|
1674 |
+
"loss": 1.5234,
|
1675 |
+
"step": 2380
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.48234106962663975,
|
1679 |
+
"grad_norm": 1.4098666906356812,
|
1680 |
+
"learning_rate": 9.034072190089932e-05,
|
1681 |
+
"loss": 1.5491,
|
1682 |
+
"step": 2390
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.4843592330978809,
|
1686 |
+
"grad_norm": 1.656089186668396,
|
1687 |
+
"learning_rate": 9.02419172334523e-05,
|
1688 |
+
"loss": 1.4821,
|
1689 |
+
"step": 2400
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.4863773965691221,
|
1693 |
+
"grad_norm": 1.4160220623016357,
|
1694 |
+
"learning_rate": 9.014266440958974e-05,
|
1695 |
+
"loss": 1.6342,
|
1696 |
+
"step": 2410
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.4883955600403633,
|
1700 |
+
"grad_norm": 1.7586220502853394,
|
1701 |
+
"learning_rate": 9.004296453464638e-05,
|
1702 |
+
"loss": 1.5503,
|
1703 |
+
"step": 2420
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.49041372351160445,
|
1707 |
+
"grad_norm": 1.5569350719451904,
|
1708 |
+
"learning_rate": 8.994281871893562e-05,
|
1709 |
+
"loss": 1.5558,
|
1710 |
+
"step": 2430
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.4924318869828456,
|
1714 |
+
"grad_norm": 1.9452998638153076,
|
1715 |
+
"learning_rate": 8.984222807773706e-05,
|
1716 |
+
"loss": 1.6341,
|
1717 |
+
"step": 2440
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.4944500504540868,
|
1721 |
+
"grad_norm": 1.6458998918533325,
|
1722 |
+
"learning_rate": 8.974119373128411e-05,
|
1723 |
+
"loss": 1.5798,
|
1724 |
+
"step": 2450
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.496468213925328,
|
1728 |
+
"grad_norm": 1.7907352447509766,
|
1729 |
+
"learning_rate": 8.963971680475161e-05,
|
1730 |
+
"loss": 1.499,
|
1731 |
+
"step": 2460
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.49848637739656915,
|
1735 |
+
"grad_norm": 1.6107879877090454,
|
1736 |
+
"learning_rate": 8.95377984282431e-05,
|
1737 |
+
"loss": 1.5705,
|
1738 |
+
"step": 2470
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.5005045408678103,
|
1742 |
+
"grad_norm": 1.5708277225494385,
|
1743 |
+
"learning_rate": 8.943543973677846e-05,
|
1744 |
+
"loss": 1.6062,
|
1745 |
+
"step": 2480
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.5025227043390514,
|
1749 |
+
"grad_norm": 1.5355361700057983,
|
1750 |
+
"learning_rate": 8.933264187028109e-05,
|
1751 |
+
"loss": 1.6155,
|
1752 |
+
"step": 2490
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.5045408678102926,
|
1756 |
+
"grad_norm": 2.4249730110168457,
|
1757 |
+
"learning_rate": 8.922940597356532e-05,
|
1758 |
+
"loss": 1.4927,
|
1759 |
+
"step": 2500
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.5065590312815338,
|
1763 |
+
"grad_norm": 1.5792551040649414,
|
1764 |
+
"learning_rate": 8.912573319632367e-05,
|
1765 |
+
"loss": 1.6917,
|
1766 |
+
"step": 2510
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.508577194752775,
|
1770 |
+
"grad_norm": 1.5651421546936035,
|
1771 |
+
"learning_rate": 8.90216246931139e-05,
|
1772 |
+
"loss": 1.5866,
|
1773 |
+
"step": 2520
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.5105953582240161,
|
1777 |
+
"grad_norm": 1.485982060432434,
|
1778 |
+
"learning_rate": 8.891708162334635e-05,
|
1779 |
+
"loss": 1.5548,
|
1780 |
+
"step": 2530
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.5126135216952573,
|
1784 |
+
"grad_norm": 1.4294884204864502,
|
1785 |
+
"learning_rate": 8.88121051512709e-05,
|
1786 |
+
"loss": 1.5208,
|
1787 |
+
"step": 2540
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.5146316851664985,
|
1791 |
+
"grad_norm": 1.7587571144104004,
|
1792 |
+
"learning_rate": 8.870669644596402e-05,
|
1793 |
+
"loss": 1.5843,
|
1794 |
+
"step": 2550
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.5166498486377397,
|
1798 |
+
"grad_norm": 1.257310152053833,
|
1799 |
+
"learning_rate": 8.860085668131582e-05,
|
1800 |
+
"loss": 1.437,
|
1801 |
+
"step": 2560
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.5186680121089808,
|
1805 |
+
"grad_norm": 1.6487629413604736,
|
1806 |
+
"learning_rate": 8.84945870360169e-05,
|
1807 |
+
"loss": 1.6055,
|
1808 |
+
"step": 2570
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.520686175580222,
|
1812 |
+
"grad_norm": 1.415015459060669,
|
1813 |
+
"learning_rate": 8.838788869354522e-05,
|
1814 |
+
"loss": 1.509,
|
1815 |
+
"step": 2580
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.5227043390514632,
|
1819 |
+
"grad_norm": 1.5729633569717407,
|
1820 |
+
"learning_rate": 8.828076284215301e-05,
|
1821 |
+
"loss": 1.4648,
|
1822 |
+
"step": 2590
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.5247225025227044,
|
1826 |
+
"grad_norm": 2.0716793537139893,
|
1827 |
+
"learning_rate": 8.817321067485343e-05,
|
1828 |
+
"loss": 1.6064,
|
1829 |
+
"step": 2600
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.5267406659939455,
|
1833 |
+
"grad_norm": 1.4554495811462402,
|
1834 |
+
"learning_rate": 8.806523338940736e-05,
|
1835 |
+
"loss": 1.6376,
|
1836 |
+
"step": 2610
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.5287588294651867,
|
1840 |
+
"grad_norm": 1.7924822568893433,
|
1841 |
+
"learning_rate": 8.795683218831001e-05,
|
1842 |
+
"loss": 1.6513,
|
1843 |
+
"step": 2620
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.5307769929364279,
|
1847 |
+
"grad_norm": 1.3876484632492065,
|
1848 |
+
"learning_rate": 8.78480082787776e-05,
|
1849 |
+
"loss": 1.6005,
|
1850 |
+
"step": 2630
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.5327951564076691,
|
1854 |
+
"grad_norm": 1.5425324440002441,
|
1855 |
+
"learning_rate": 8.773876287273377e-05,
|
1856 |
+
"loss": 1.6121,
|
1857 |
+
"step": 2640
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.5348133198789102,
|
1861 |
+
"grad_norm": 1.5110645294189453,
|
1862 |
+
"learning_rate": 8.762909718679629e-05,
|
1863 |
+
"loss": 1.5611,
|
1864 |
+
"step": 2650
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.5368314833501514,
|
1868 |
+
"grad_norm": 1.580310583114624,
|
1869 |
+
"learning_rate": 8.751901244226332e-05,
|
1870 |
+
"loss": 1.636,
|
1871 |
+
"step": 2660
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.5388496468213926,
|
1875 |
+
"grad_norm": 1.5676929950714111,
|
1876 |
+
"learning_rate": 8.740850986509994e-05,
|
1877 |
+
"loss": 1.4185,
|
1878 |
+
"step": 2670
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 0.5408678102926338,
|
1882 |
+
"grad_norm": 1.6521614789962769,
|
1883 |
+
"learning_rate": 8.729759068592442e-05,
|
1884 |
+
"loss": 1.5195,
|
1885 |
+
"step": 2680
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.5428859737638748,
|
1889 |
+
"grad_norm": 1.6536593437194824,
|
1890 |
+
"learning_rate": 8.718625613999457e-05,
|
1891 |
+
"loss": 1.6065,
|
1892 |
+
"step": 2690
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.544904137235116,
|
1896 |
+
"grad_norm": 1.223604679107666,
|
1897 |
+
"learning_rate": 8.70745074671939e-05,
|
1898 |
+
"loss": 1.5292,
|
1899 |
+
"step": 2700
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.5469223007063572,
|
1903 |
+
"grad_norm": 1.5844485759735107,
|
1904 |
+
"learning_rate": 8.696234591201793e-05,
|
1905 |
+
"loss": 1.5145,
|
1906 |
+
"step": 2710
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 0.5489404641775983,
|
1910 |
+
"grad_norm": 1.4692803621292114,
|
1911 |
+
"learning_rate": 8.684977272356024e-05,
|
1912 |
+
"loss": 1.5126,
|
1913 |
+
"step": 2720
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.5509586276488395,
|
1917 |
+
"grad_norm": 1.509020209312439,
|
1918 |
+
"learning_rate": 8.673678915549855e-05,
|
1919 |
+
"loss": 1.6746,
|
1920 |
+
"step": 2730
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 0.5529767911200807,
|
1924 |
+
"grad_norm": 1.6188277006149292,
|
1925 |
+
"learning_rate": 8.662339646608089e-05,
|
1926 |
+
"loss": 1.5323,
|
1927 |
+
"step": 2740
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 0.5549949545913219,
|
1931 |
+
"grad_norm": 1.4918463230133057,
|
1932 |
+
"learning_rate": 8.650959591811141e-05,
|
1933 |
+
"loss": 1.5413,
|
1934 |
+
"step": 2750
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.557013118062563,
|
1938 |
+
"grad_norm": 1.5165650844573975,
|
1939 |
+
"learning_rate": 8.639538877893644e-05,
|
1940 |
+
"loss": 1.4788,
|
1941 |
+
"step": 2760
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.5590312815338042,
|
1945 |
+
"grad_norm": 1.4886066913604736,
|
1946 |
+
"learning_rate": 8.628077632043032e-05,
|
1947 |
+
"loss": 1.5158,
|
1948 |
+
"step": 2770
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 0.5610494450050454,
|
1952 |
+
"grad_norm": 1.6249706745147705,
|
1953 |
+
"learning_rate": 8.616575981898125e-05,
|
1954 |
+
"loss": 1.4793,
|
1955 |
+
"step": 2780
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.5630676084762866,
|
1959 |
+
"grad_norm": 1.3315315246582031,
|
1960 |
+
"learning_rate": 8.605034055547709e-05,
|
1961 |
+
"loss": 1.4828,
|
1962 |
+
"step": 2790
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 0.5650857719475277,
|
1966 |
+
"grad_norm": 1.448897123336792,
|
1967 |
+
"learning_rate": 8.593451981529108e-05,
|
1968 |
+
"loss": 1.5655,
|
1969 |
+
"step": 2800
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.5671039354187689,
|
1973 |
+
"grad_norm": 1.4807590246200562,
|
1974 |
+
"learning_rate": 8.581829888826754e-05,
|
1975 |
+
"loss": 1.5999,
|
1976 |
+
"step": 2810
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.5691220988900101,
|
1980 |
+
"grad_norm": 1.7087481021881104,
|
1981 |
+
"learning_rate": 8.570167906870745e-05,
|
1982 |
+
"loss": 1.591,
|
1983 |
+
"step": 2820
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.5711402623612513,
|
1987 |
+
"grad_norm": 1.6135573387145996,
|
1988 |
+
"learning_rate": 8.558466165535411e-05,
|
1989 |
+
"loss": 1.6063,
|
1990 |
+
"step": 2830
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 0.5731584258324924,
|
1994 |
+
"grad_norm": 1.5271415710449219,
|
1995 |
+
"learning_rate": 8.546724795137865e-05,
|
1996 |
+
"loss": 1.5007,
|
1997 |
+
"step": 2840
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.5751765893037336,
|
2001 |
+
"grad_norm": 1.5794763565063477,
|
2002 |
+
"learning_rate": 8.534943926436554e-05,
|
2003 |
+
"loss": 1.5415,
|
2004 |
+
"step": 2850
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.5771947527749748,
|
2008 |
+
"grad_norm": 1.4942843914031982,
|
2009 |
+
"learning_rate": 8.523123690629791e-05,
|
2010 |
+
"loss": 1.5891,
|
2011 |
+
"step": 2860
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.579212916246216,
|
2015 |
+
"grad_norm": 1.5353363752365112,
|
2016 |
+
"learning_rate": 8.511264219354313e-05,
|
2017 |
+
"loss": 1.4995,
|
2018 |
+
"step": 2870
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.5812310797174571,
|
2022 |
+
"grad_norm": 1.5738115310668945,
|
2023 |
+
"learning_rate": 8.4993656446838e-05,
|
2024 |
+
"loss": 1.5277,
|
2025 |
+
"step": 2880
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.5832492431886983,
|
2029 |
+
"grad_norm": 1.4808515310287476,
|
2030 |
+
"learning_rate": 8.48742809912741e-05,
|
2031 |
+
"loss": 1.5682,
|
2032 |
+
"step": 2890
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 0.5852674066599395,
|
2036 |
+
"grad_norm": 1.5826464891433716,
|
2037 |
+
"learning_rate": 8.475451715628302e-05,
|
2038 |
+
"loss": 1.4706,
|
2039 |
+
"step": 2900
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.5872855701311807,
|
2043 |
+
"grad_norm": 1.5062007904052734,
|
2044 |
+
"learning_rate": 8.463436627562158e-05,
|
2045 |
+
"loss": 1.6083,
|
2046 |
+
"step": 2910
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 0.5893037336024218,
|
2050 |
+
"grad_norm": 1.56938898563385,
|
2051 |
+
"learning_rate": 8.451382968735693e-05,
|
2052 |
+
"loss": 1.4747,
|
2053 |
+
"step": 2920
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.591321897073663,
|
2057 |
+
"grad_norm": 1.4118072986602783,
|
2058 |
+
"learning_rate": 8.43929087338517e-05,
|
2059 |
+
"loss": 1.4768,
|
2060 |
+
"step": 2930
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.5933400605449042,
|
2064 |
+
"grad_norm": 1.5036567449569702,
|
2065 |
+
"learning_rate": 8.4271604761749e-05,
|
2066 |
+
"loss": 1.4414,
|
2067 |
+
"step": 2940
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.5953582240161454,
|
2071 |
+
"grad_norm": 1.4589097499847412,
|
2072 |
+
"learning_rate": 8.414991912195747e-05,
|
2073 |
+
"loss": 1.5648,
|
2074 |
+
"step": 2950
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 0.5973763874873865,
|
2078 |
+
"grad_norm": 1.522581934928894,
|
2079 |
+
"learning_rate": 8.402785316963618e-05,
|
2080 |
+
"loss": 1.4947,
|
2081 |
+
"step": 2960
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.5993945509586277,
|
2085 |
+
"grad_norm": 1.5915330648422241,
|
2086 |
+
"learning_rate": 8.390540826417964e-05,
|
2087 |
+
"loss": 1.474,
|
2088 |
+
"step": 2970
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 0.6014127144298688,
|
2092 |
+
"grad_norm": 1.5158594846725464,
|
2093 |
+
"learning_rate": 8.378258576920253e-05,
|
2094 |
+
"loss": 1.5417,
|
2095 |
+
"step": 2980
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.6034308779011099,
|
2099 |
+
"grad_norm": 1.5189268589019775,
|
2100 |
+
"learning_rate": 8.365938705252459e-05,
|
2101 |
+
"loss": 1.4829,
|
2102 |
+
"step": 2990
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.6054490413723511,
|
2106 |
+
"grad_norm": 1.3481444120407104,
|
2107 |
+
"learning_rate": 8.353581348615538e-05,
|
2108 |
+
"loss": 1.5622,
|
2109 |
+
"step": 3000
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.6074672048435923,
|
2113 |
+
"grad_norm": 1.482692003250122,
|
2114 |
+
"learning_rate": 8.341186644627901e-05,
|
2115 |
+
"loss": 1.6286,
|
2116 |
+
"step": 3010
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 0.6094853683148335,
|
2120 |
+
"grad_norm": 1.5743776559829712,
|
2121 |
+
"learning_rate": 8.32875473132388e-05,
|
2122 |
+
"loss": 1.4813,
|
2123 |
+
"step": 3020
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 0.6115035317860746,
|
2127 |
+
"grad_norm": 1.3886172771453857,
|
2128 |
+
"learning_rate": 8.316285747152189e-05,
|
2129 |
+
"loss": 1.4297,
|
2130 |
+
"step": 3030
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 0.6135216952573158,
|
2134 |
+
"grad_norm": 1.558706283569336,
|
2135 |
+
"learning_rate": 8.30377983097438e-05,
|
2136 |
+
"loss": 1.4639,
|
2137 |
+
"step": 3040
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 0.615539858728557,
|
2141 |
+
"grad_norm": 1.537921667098999,
|
2142 |
+
"learning_rate": 8.291237122063309e-05,
|
2143 |
+
"loss": 1.5532,
|
2144 |
+
"step": 3050
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.6175580221997982,
|
2148 |
+
"grad_norm": 1.2276337146759033,
|
2149 |
+
"learning_rate": 8.27865776010157e-05,
|
2150 |
+
"loss": 1.4639,
|
2151 |
+
"step": 3060
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.6195761856710393,
|
2155 |
+
"grad_norm": 1.4864561557769775,
|
2156 |
+
"learning_rate": 8.266041885179949e-05,
|
2157 |
+
"loss": 1.436,
|
2158 |
+
"step": 3070
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 0.6215943491422805,
|
2162 |
+
"grad_norm": 1.7501429319381714,
|
2163 |
+
"learning_rate": 8.253389637795858e-05,
|
2164 |
+
"loss": 1.4653,
|
2165 |
+
"step": 3080
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 0.6236125126135217,
|
2169 |
+
"grad_norm": 1.4437967538833618,
|
2170 |
+
"learning_rate": 8.240701158851778e-05,
|
2171 |
+
"loss": 1.4266,
|
2172 |
+
"step": 3090
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 0.6256306760847629,
|
2176 |
+
"grad_norm": 1.3351330757141113,
|
2177 |
+
"learning_rate": 8.227976589653676e-05,
|
2178 |
+
"loss": 1.4005,
|
2179 |
+
"step": 3100
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 0.627648839556004,
|
2183 |
+
"grad_norm": 1.4452919960021973,
|
2184 |
+
"learning_rate": 8.215216071909448e-05,
|
2185 |
+
"loss": 1.5651,
|
2186 |
+
"step": 3110
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.6296670030272452,
|
2190 |
+
"grad_norm": 1.4321256875991821,
|
2191 |
+
"learning_rate": 8.202419747727333e-05,
|
2192 |
+
"loss": 1.4941,
|
2193 |
+
"step": 3120
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.6316851664984864,
|
2197 |
+
"grad_norm": 1.3962360620498657,
|
2198 |
+
"learning_rate": 8.189587759614325e-05,
|
2199 |
+
"loss": 1.4671,
|
2200 |
+
"step": 3130
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 0.6337033299697276,
|
2204 |
+
"grad_norm": 1.4179112911224365,
|
2205 |
+
"learning_rate": 8.176720250474594e-05,
|
2206 |
+
"loss": 1.4636,
|
2207 |
+
"step": 3140
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 0.6357214934409687,
|
2211 |
+
"grad_norm": 1.4552099704742432,
|
2212 |
+
"learning_rate": 8.163817363607894e-05,
|
2213 |
+
"loss": 1.5253,
|
2214 |
+
"step": 3150
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 0.6377396569122099,
|
2218 |
+
"grad_norm": 1.6266930103302002,
|
2219 |
+
"learning_rate": 8.150879242707962e-05,
|
2220 |
+
"loss": 1.4704,
|
2221 |
+
"step": 3160
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 0.6397578203834511,
|
2225 |
+
"grad_norm": 1.480033278465271,
|
2226 |
+
"learning_rate": 8.137906031860925e-05,
|
2227 |
+
"loss": 1.5921,
|
2228 |
+
"step": 3170
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 0.6417759838546923,
|
2232 |
+
"grad_norm": 1.4520894289016724,
|
2233 |
+
"learning_rate": 8.124897875543684e-05,
|
2234 |
+
"loss": 1.4444,
|
2235 |
+
"step": 3180
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 0.6437941473259334,
|
2239 |
+
"grad_norm": 1.3743687868118286,
|
2240 |
+
"learning_rate": 8.111854918622321e-05,
|
2241 |
+
"loss": 1.6175,
|
2242 |
+
"step": 3190
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 0.6458123107971746,
|
2246 |
+
"grad_norm": 1.5462607145309448,
|
2247 |
+
"learning_rate": 8.098777306350469e-05,
|
2248 |
+
"loss": 1.4526,
|
2249 |
+
"step": 3200
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 0.6478304742684158,
|
2253 |
+
"grad_norm": 1.4813790321350098,
|
2254 |
+
"learning_rate": 8.08566518436771e-05,
|
2255 |
+
"loss": 1.5253,
|
2256 |
+
"step": 3210
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 0.649848637739657,
|
2260 |
+
"grad_norm": 1.5957119464874268,
|
2261 |
+
"learning_rate": 8.072518698697938e-05,
|
2262 |
+
"loss": 1.4505,
|
2263 |
+
"step": 3220
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 0.6518668012108981,
|
2267 |
+
"grad_norm": 1.5894341468811035,
|
2268 |
+
"learning_rate": 8.059337995747743e-05,
|
2269 |
+
"loss": 1.4643,
|
2270 |
+
"step": 3230
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 0.6538849646821393,
|
2274 |
+
"grad_norm": 1.4520728588104248,
|
2275 |
+
"learning_rate": 8.046123222304781e-05,
|
2276 |
+
"loss": 1.5529,
|
2277 |
+
"step": 3240
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.6559031281533805,
|
2281 |
+
"grad_norm": 1.379225730895996,
|
2282 |
+
"learning_rate": 8.032874525536131e-05,
|
2283 |
+
"loss": 1.4944,
|
2284 |
+
"step": 3250
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 0.6579212916246215,
|
2288 |
+
"grad_norm": 1.4799381494522095,
|
2289 |
+
"learning_rate": 8.019592052986665e-05,
|
2290 |
+
"loss": 1.3809,
|
2291 |
+
"step": 3260
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 0.6599394550958627,
|
2295 |
+
"grad_norm": 1.3304007053375244,
|
2296 |
+
"learning_rate": 8.006275952577397e-05,
|
2297 |
+
"loss": 1.5455,
|
2298 |
+
"step": 3270
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 0.6619576185671039,
|
2302 |
+
"grad_norm": 1.4968523979187012,
|
2303 |
+
"learning_rate": 7.992926372603842e-05,
|
2304 |
+
"loss": 1.4879,
|
2305 |
+
"step": 3280
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 0.6639757820383451,
|
2309 |
+
"grad_norm": 1.582527756690979,
|
2310 |
+
"learning_rate": 7.979543461734362e-05,
|
2311 |
+
"loss": 1.4796,
|
2312 |
+
"step": 3290
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 0.6659939455095862,
|
2316 |
+
"grad_norm": 1.3123412132263184,
|
2317 |
+
"learning_rate": 7.966127369008512e-05,
|
2318 |
+
"loss": 1.4623,
|
2319 |
+
"step": 3300
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 0.6680121089808274,
|
2323 |
+
"grad_norm": 1.3255366086959839,
|
2324 |
+
"learning_rate": 7.952678243835376e-05,
|
2325 |
+
"loss": 1.4871,
|
2326 |
+
"step": 3310
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 0.6700302724520686,
|
2330 |
+
"grad_norm": 1.375701904296875,
|
2331 |
+
"learning_rate": 7.939196235991904e-05,
|
2332 |
+
"loss": 1.49,
|
2333 |
+
"step": 3320
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 0.6720484359233098,
|
2337 |
+
"grad_norm": 1.5660688877105713,
|
2338 |
+
"learning_rate": 7.925681495621253e-05,
|
2339 |
+
"loss": 1.5556,
|
2340 |
+
"step": 3330
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 0.6740665993945509,
|
2344 |
+
"grad_norm": 1.2856935262680054,
|
2345 |
+
"learning_rate": 7.912134173231098e-05,
|
2346 |
+
"loss": 1.4971,
|
2347 |
+
"step": 3340
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 0.6760847628657921,
|
2351 |
+
"grad_norm": 1.7174125909805298,
|
2352 |
+
"learning_rate": 7.898554419691974e-05,
|
2353 |
+
"loss": 1.506,
|
2354 |
+
"step": 3350
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 0.6781029263370333,
|
2358 |
+
"grad_norm": 1.4166866540908813,
|
2359 |
+
"learning_rate": 7.884942386235582e-05,
|
2360 |
+
"loss": 1.367,
|
2361 |
+
"step": 3360
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 0.6801210898082745,
|
2365 |
+
"grad_norm": 1.3765437602996826,
|
2366 |
+
"learning_rate": 7.871298224453113e-05,
|
2367 |
+
"loss": 1.4017,
|
2368 |
+
"step": 3370
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 0.6821392532795156,
|
2372 |
+
"grad_norm": 1.4745761156082153,
|
2373 |
+
"learning_rate": 7.857622086293557e-05,
|
2374 |
+
"loss": 1.6014,
|
2375 |
+
"step": 3380
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 0.6841574167507568,
|
2379 |
+
"grad_norm": 1.5563029050827026,
|
2380 |
+
"learning_rate": 7.843914124062006e-05,
|
2381 |
+
"loss": 1.4713,
|
2382 |
+
"step": 3390
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 0.686175580221998,
|
2386 |
+
"grad_norm": 1.6175247430801392,
|
2387 |
+
"learning_rate": 7.830174490417972e-05,
|
2388 |
+
"loss": 1.5117,
|
2389 |
+
"step": 3400
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 0.6881937436932392,
|
2393 |
+
"grad_norm": 1.4464702606201172,
|
2394 |
+
"learning_rate": 7.816403338373666e-05,
|
2395 |
+
"loss": 1.4251,
|
2396 |
+
"step": 3410
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 0.6902119071644803,
|
2400 |
+
"grad_norm": 1.3877936601638794,
|
2401 |
+
"learning_rate": 7.802600821292314e-05,
|
2402 |
+
"loss": 1.3907,
|
2403 |
+
"step": 3420
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 0.6922300706357215,
|
2407 |
+
"grad_norm": 1.4214582443237305,
|
2408 |
+
"learning_rate": 7.78876709288644e-05,
|
2409 |
+
"loss": 1.4608,
|
2410 |
+
"step": 3430
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 0.6942482341069627,
|
2414 |
+
"grad_norm": 1.3867719173431396,
|
2415 |
+
"learning_rate": 7.774902307216148e-05,
|
2416 |
+
"loss": 1.5583,
|
2417 |
+
"step": 3440
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 0.6962663975782039,
|
2421 |
+
"grad_norm": 1.345284104347229,
|
2422 |
+
"learning_rate": 7.76100661868742e-05,
|
2423 |
+
"loss": 1.5107,
|
2424 |
+
"step": 3450
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 0.698284561049445,
|
2428 |
+
"grad_norm": 1.4984257221221924,
|
2429 |
+
"learning_rate": 7.747080182050388e-05,
|
2430 |
+
"loss": 1.4186,
|
2431 |
+
"step": 3460
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 0.7003027245206862,
|
2435 |
+
"grad_norm": 1.4104434251785278,
|
2436 |
+
"learning_rate": 7.733123152397609e-05,
|
2437 |
+
"loss": 1.4989,
|
2438 |
+
"step": 3470
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 0.7023208879919274,
|
2442 |
+
"grad_norm": 1.3834434747695923,
|
2443 |
+
"learning_rate": 7.719135685162342e-05,
|
2444 |
+
"loss": 1.4089,
|
2445 |
+
"step": 3480
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 0.7043390514631686,
|
2449 |
+
"grad_norm": 1.4428340196609497,
|
2450 |
+
"learning_rate": 7.705117936116822e-05,
|
2451 |
+
"loss": 1.5516,
|
2452 |
+
"step": 3490
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 0.7063572149344097,
|
2456 |
+
"grad_norm": 1.5729140043258667,
|
2457 |
+
"learning_rate": 7.691070061370507e-05,
|
2458 |
+
"loss": 1.5622,
|
2459 |
+
"step": 3500
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 0.7083753784056509,
|
2463 |
+
"grad_norm": 1.3539918661117554,
|
2464 |
+
"learning_rate": 7.676992217368364e-05,
|
2465 |
+
"loss": 1.4938,
|
2466 |
+
"step": 3510
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 0.7103935418768921,
|
2470 |
+
"grad_norm": 1.540166974067688,
|
2471 |
+
"learning_rate": 7.662884560889105e-05,
|
2472 |
+
"loss": 1.3785,
|
2473 |
+
"step": 3520
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 0.7124117053481333,
|
2477 |
+
"grad_norm": 1.3016571998596191,
|
2478 |
+
"learning_rate": 7.648747249043457e-05,
|
2479 |
+
"loss": 1.5543,
|
2480 |
+
"step": 3530
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 0.7144298688193743,
|
2484 |
+
"grad_norm": 1.4095804691314697,
|
2485 |
+
"learning_rate": 7.634580439272401e-05,
|
2486 |
+
"loss": 1.5495,
|
2487 |
+
"step": 3540
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 0.7164480322906155,
|
2491 |
+
"grad_norm": 1.280922770500183,
|
2492 |
+
"learning_rate": 7.620384289345425e-05,
|
2493 |
+
"loss": 1.5104,
|
2494 |
+
"step": 3550
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 0.7184661957618567,
|
2498 |
+
"grad_norm": 1.3793776035308838,
|
2499 |
+
"learning_rate": 7.606158957358769e-05,
|
2500 |
+
"loss": 1.5002,
|
2501 |
+
"step": 3560
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 0.7204843592330978,
|
2505 |
+
"grad_norm": 1.5305780172348022,
|
2506 |
+
"learning_rate": 7.591904601733655e-05,
|
2507 |
+
"loss": 1.5148,
|
2508 |
+
"step": 3570
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 0.722502522704339,
|
2512 |
+
"grad_norm": 1.3183702230453491,
|
2513 |
+
"learning_rate": 7.577621381214529e-05,
|
2514 |
+
"loss": 1.4927,
|
2515 |
+
"step": 3580
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 0.7245206861755802,
|
2519 |
+
"grad_norm": 1.2844158411026,
|
2520 |
+
"learning_rate": 7.563309454867295e-05,
|
2521 |
+
"loss": 1.4843,
|
2522 |
+
"step": 3590
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 0.7265388496468214,
|
2526 |
+
"grad_norm": 1.252433180809021,
|
2527 |
+
"learning_rate": 7.548968982077542e-05,
|
2528 |
+
"loss": 1.4047,
|
2529 |
+
"step": 3600
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.7285570131180625,
|
2533 |
+
"grad_norm": 1.1570249795913696,
|
2534 |
+
"learning_rate": 7.534600122548765e-05,
|
2535 |
+
"loss": 1.4062,
|
2536 |
+
"step": 3610
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 0.7305751765893037,
|
2540 |
+
"grad_norm": 1.3853447437286377,
|
2541 |
+
"learning_rate": 7.520203036300588e-05,
|
2542 |
+
"loss": 1.4593,
|
2543 |
+
"step": 3620
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 0.7325933400605449,
|
2547 |
+
"grad_norm": 1.6483482122421265,
|
2548 |
+
"learning_rate": 7.505777883666993e-05,
|
2549 |
+
"loss": 1.6098,
|
2550 |
+
"step": 3630
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.7346115035317861,
|
2554 |
+
"grad_norm": 1.3295645713806152,
|
2555 |
+
"learning_rate": 7.491324825294514e-05,
|
2556 |
+
"loss": 1.4467,
|
2557 |
+
"step": 3640
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 0.7366296670030272,
|
2561 |
+
"grad_norm": 1.336206078529358,
|
2562 |
+
"learning_rate": 7.476844022140464e-05,
|
2563 |
+
"loss": 1.5218,
|
2564 |
+
"step": 3650
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 0.7386478304742684,
|
2568 |
+
"grad_norm": 1.2594281435012817,
|
2569 |
+
"learning_rate": 7.462335635471136e-05,
|
2570 |
+
"loss": 1.4216,
|
2571 |
+
"step": 3660
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 0.7406659939455096,
|
2575 |
+
"grad_norm": 2.950639009475708,
|
2576 |
+
"learning_rate": 7.44779982686001e-05,
|
2577 |
+
"loss": 1.4549,
|
2578 |
+
"step": 3670
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 0.7426841574167508,
|
2582 |
+
"grad_norm": 1.4663448333740234,
|
2583 |
+
"learning_rate": 7.43323675818595e-05,
|
2584 |
+
"loss": 1.3631,
|
2585 |
+
"step": 3680
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 0.7447023208879919,
|
2589 |
+
"grad_norm": 1.5686269998550415,
|
2590 |
+
"learning_rate": 7.418646591631404e-05,
|
2591 |
+
"loss": 1.3991,
|
2592 |
+
"step": 3690
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 0.7467204843592331,
|
2596 |
+
"grad_norm": 1.5072070360183716,
|
2597 |
+
"learning_rate": 7.404029489680598e-05,
|
2598 |
+
"loss": 1.4257,
|
2599 |
+
"step": 3700
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 0.7487386478304743,
|
2603 |
+
"grad_norm": 1.391025185585022,
|
2604 |
+
"learning_rate": 7.389385615117723e-05,
|
2605 |
+
"loss": 1.4345,
|
2606 |
+
"step": 3710
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 0.7507568113017155,
|
2610 |
+
"grad_norm": 1.382051944732666,
|
2611 |
+
"learning_rate": 7.37471513102513e-05,
|
2612 |
+
"loss": 1.4038,
|
2613 |
+
"step": 3720
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 0.7527749747729566,
|
2617 |
+
"grad_norm": 1.3509782552719116,
|
2618 |
+
"learning_rate": 7.360018200781502e-05,
|
2619 |
+
"loss": 1.4457,
|
2620 |
+
"step": 3730
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 0.7547931382441978,
|
2624 |
+
"grad_norm": 1.6141653060913086,
|
2625 |
+
"learning_rate": 7.345294988060046e-05,
|
2626 |
+
"loss": 1.5944,
|
2627 |
+
"step": 3740
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 0.756811301715439,
|
2631 |
+
"grad_norm": 1.4731391668319702,
|
2632 |
+
"learning_rate": 7.330545656826662e-05,
|
2633 |
+
"loss": 1.4548,
|
2634 |
+
"step": 3750
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 0.7588294651866802,
|
2638 |
+
"grad_norm": 1.3180512189865112,
|
2639 |
+
"learning_rate": 7.315770371338126e-05,
|
2640 |
+
"loss": 1.3972,
|
2641 |
+
"step": 3760
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 0.7608476286579213,
|
2645 |
+
"grad_norm": 1.3752028942108154,
|
2646 |
+
"learning_rate": 7.300969296140244e-05,
|
2647 |
+
"loss": 1.5337,
|
2648 |
+
"step": 3770
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 0.7628657921291625,
|
2652 |
+
"grad_norm": 1.5503935813903809,
|
2653 |
+
"learning_rate": 7.286142596066044e-05,
|
2654 |
+
"loss": 1.4658,
|
2655 |
+
"step": 3780
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 0.7648839556004037,
|
2659 |
+
"grad_norm": 1.3432625532150269,
|
2660 |
+
"learning_rate": 7.271290436233916e-05,
|
2661 |
+
"loss": 1.5027,
|
2662 |
+
"step": 3790
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 0.7669021190716448,
|
2666 |
+
"grad_norm": 1.6639512777328491,
|
2667 |
+
"learning_rate": 7.25641298204579e-05,
|
2668 |
+
"loss": 1.4577,
|
2669 |
+
"step": 3800
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 0.768920282542886,
|
2673 |
+
"grad_norm": 1.5050352811813354,
|
2674 |
+
"learning_rate": 7.241510399185287e-05,
|
2675 |
+
"loss": 1.4345,
|
2676 |
+
"step": 3810
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 0.7709384460141272,
|
2680 |
+
"grad_norm": 1.6508047580718994,
|
2681 |
+
"learning_rate": 7.226582853615874e-05,
|
2682 |
+
"loss": 1.359,
|
2683 |
+
"step": 3820
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 0.7729566094853683,
|
2687 |
+
"grad_norm": 1.489529013633728,
|
2688 |
+
"learning_rate": 7.211630511579015e-05,
|
2689 |
+
"loss": 1.4296,
|
2690 |
+
"step": 3830
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 0.7749747729566094,
|
2694 |
+
"grad_norm": 1.270341396331787,
|
2695 |
+
"learning_rate": 7.196653539592326e-05,
|
2696 |
+
"loss": 1.4177,
|
2697 |
+
"step": 3840
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 0.7769929364278506,
|
2701 |
+
"grad_norm": 1.2509267330169678,
|
2702 |
+
"learning_rate": 7.181652104447711e-05,
|
2703 |
+
"loss": 1.4425,
|
2704 |
+
"step": 3850
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 0.7790110998990918,
|
2708 |
+
"grad_norm": 1.4303765296936035,
|
2709 |
+
"learning_rate": 7.166626373209514e-05,
|
2710 |
+
"loss": 1.4735,
|
2711 |
+
"step": 3860
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 0.781029263370333,
|
2715 |
+
"grad_norm": 1.3523200750350952,
|
2716 |
+
"learning_rate": 7.15157651321265e-05,
|
2717 |
+
"loss": 1.5438,
|
2718 |
+
"step": 3870
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 0.7830474268415741,
|
2722 |
+
"grad_norm": 1.3462188243865967,
|
2723 |
+
"learning_rate": 7.136502692060746e-05,
|
2724 |
+
"loss": 1.5316,
|
2725 |
+
"step": 3880
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 0.7850655903128153,
|
2729 |
+
"grad_norm": 1.3250367641448975,
|
2730 |
+
"learning_rate": 7.121405077624276e-05,
|
2731 |
+
"loss": 1.4727,
|
2732 |
+
"step": 3890
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 0.7870837537840565,
|
2736 |
+
"grad_norm": 1.267572045326233,
|
2737 |
+
"learning_rate": 7.106283838038685e-05,
|
2738 |
+
"loss": 1.4804,
|
2739 |
+
"step": 3900
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 0.7891019172552977,
|
2743 |
+
"grad_norm": 1.2590205669403076,
|
2744 |
+
"learning_rate": 7.091139141702527e-05,
|
2745 |
+
"loss": 1.3984,
|
2746 |
+
"step": 3910
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 0.7911200807265388,
|
2750 |
+
"grad_norm": 1.4484533071517944,
|
2751 |
+
"learning_rate": 7.075971157275575e-05,
|
2752 |
+
"loss": 1.4728,
|
2753 |
+
"step": 3920
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 0.79313824419778,
|
2757 |
+
"grad_norm": 1.4239338636398315,
|
2758 |
+
"learning_rate": 7.06078005367696e-05,
|
2759 |
+
"loss": 1.4305,
|
2760 |
+
"step": 3930
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 0.7951564076690212,
|
2764 |
+
"grad_norm": 1.4230101108551025,
|
2765 |
+
"learning_rate": 7.045566000083278e-05,
|
2766 |
+
"loss": 1.5003,
|
2767 |
+
"step": 3940
|
2768 |
+
},
|
2769 |
+
{
|
2770 |
+
"epoch": 0.7971745711402624,
|
2771 |
+
"grad_norm": 1.2686034440994263,
|
2772 |
+
"learning_rate": 7.030329165926706e-05,
|
2773 |
+
"loss": 1.4169,
|
2774 |
+
"step": 3950
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 0.7991927346115035,
|
2778 |
+
"grad_norm": 1.5182725191116333,
|
2779 |
+
"learning_rate": 7.01506972089312e-05,
|
2780 |
+
"loss": 1.5385,
|
2781 |
+
"step": 3960
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 0.8012108980827447,
|
2785 |
+
"grad_norm": 1.4067586660385132,
|
2786 |
+
"learning_rate": 6.999787834920202e-05,
|
2787 |
+
"loss": 1.3908,
|
2788 |
+
"step": 3970
|
2789 |
+
},
|
2790 |
+
{
|
2791 |
+
"epoch": 0.8032290615539859,
|
2792 |
+
"grad_norm": 1.2837873697280884,
|
2793 |
+
"learning_rate": 6.984483678195553e-05,
|
2794 |
+
"loss": 1.4505,
|
2795 |
+
"step": 3980
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 0.805247225025227,
|
2799 |
+
"grad_norm": 1.4042167663574219,
|
2800 |
+
"learning_rate": 6.969157421154789e-05,
|
2801 |
+
"loss": 1.4897,
|
2802 |
+
"step": 3990
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 0.8072653884964682,
|
2806 |
+
"grad_norm": 1.6277389526367188,
|
2807 |
+
"learning_rate": 6.95380923447965e-05,
|
2808 |
+
"loss": 1.4117,
|
2809 |
+
"step": 4000
|
2810 |
+
},
|
2811 |
+
{
|
2812 |
+
"epoch": 0.8092835519677094,
|
2813 |
+
"grad_norm": 1.572359323501587,
|
2814 |
+
"learning_rate": 6.938439289096095e-05,
|
2815 |
+
"loss": 1.4158,
|
2816 |
+
"step": 4010
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 0.8113017154389506,
|
2820 |
+
"grad_norm": 1.5279749631881714,
|
2821 |
+
"learning_rate": 6.923047756172401e-05,
|
2822 |
+
"loss": 1.455,
|
2823 |
+
"step": 4020
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 0.8133198789101918,
|
2827 |
+
"grad_norm": 1.298711895942688,
|
2828 |
+
"learning_rate": 6.907634807117257e-05,
|
2829 |
+
"loss": 1.3315,
|
2830 |
+
"step": 4030
|
2831 |
+
},
|
2832 |
+
{
|
2833 |
+
"epoch": 0.8153380423814329,
|
2834 |
+
"grad_norm": 1.2476575374603271,
|
2835 |
+
"learning_rate": 6.892200613577852e-05,
|
2836 |
+
"loss": 1.514,
|
2837 |
+
"step": 4040
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 0.8173562058526741,
|
2841 |
+
"grad_norm": 1.289162278175354,
|
2842 |
+
"learning_rate": 6.876745347437964e-05,
|
2843 |
+
"loss": 1.4861,
|
2844 |
+
"step": 4050
|
2845 |
+
},
|
2846 |
+
{
|
2847 |
+
"epoch": 0.8193743693239153,
|
2848 |
+
"grad_norm": 1.2558218240737915,
|
2849 |
+
"learning_rate": 6.861269180816052e-05,
|
2850 |
+
"loss": 1.3809,
|
2851 |
+
"step": 4060
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 0.8213925327951564,
|
2855 |
+
"grad_norm": 1.2769505977630615,
|
2856 |
+
"learning_rate": 6.845772286063332e-05,
|
2857 |
+
"loss": 1.4678,
|
2858 |
+
"step": 4070
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 0.8234106962663976,
|
2862 |
+
"grad_norm": 1.4346575736999512,
|
2863 |
+
"learning_rate": 6.830254835761856e-05,
|
2864 |
+
"loss": 1.4251,
|
2865 |
+
"step": 4080
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 0.8254288597376388,
|
2869 |
+
"grad_norm": 1.4318442344665527,
|
2870 |
+
"learning_rate": 6.814717002722602e-05,
|
2871 |
+
"loss": 1.5475,
|
2872 |
+
"step": 4090
|
2873 |
+
},
|
2874 |
+
{
|
2875 |
+
"epoch": 0.82744702320888,
|
2876 |
+
"grad_norm": 1.2699110507965088,
|
2877 |
+
"learning_rate": 6.799158959983536e-05,
|
2878 |
+
"loss": 1.4722,
|
2879 |
+
"step": 4100
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 0.829465186680121,
|
2883 |
+
"grad_norm": 1.5809247493743896,
|
2884 |
+
"learning_rate": 6.78358088080769e-05,
|
2885 |
+
"loss": 1.5189,
|
2886 |
+
"step": 4110
|
2887 |
+
},
|
2888 |
+
{
|
2889 |
+
"epoch": 0.8314833501513622,
|
2890 |
+
"grad_norm": 1.4829879999160767,
|
2891 |
+
"learning_rate": 6.767982938681239e-05,
|
2892 |
+
"loss": 1.5611,
|
2893 |
+
"step": 4120
|
2894 |
+
},
|
2895 |
+
{
|
2896 |
+
"epoch": 0.8335015136226034,
|
2897 |
+
"grad_norm": 1.251018762588501,
|
2898 |
+
"learning_rate": 6.752365307311556e-05,
|
2899 |
+
"loss": 1.4698,
|
2900 |
+
"step": 4130
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 0.8355196770938446,
|
2904 |
+
"grad_norm": 1.1748842000961304,
|
2905 |
+
"learning_rate": 6.736728160625284e-05,
|
2906 |
+
"loss": 1.5476,
|
2907 |
+
"step": 4140
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 0.8375378405650857,
|
2911 |
+
"grad_norm": 1.4876999855041504,
|
2912 |
+
"learning_rate": 6.721071672766406e-05,
|
2913 |
+
"loss": 1.4378,
|
2914 |
+
"step": 4150
|
2915 |
+
},
|
2916 |
+
{
|
2917 |
+
"epoch": 0.8395560040363269,
|
2918 |
+
"grad_norm": 1.4530222415924072,
|
2919 |
+
"learning_rate": 6.705396018094297e-05,
|
2920 |
+
"loss": 1.4794,
|
2921 |
+
"step": 4160
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 0.8415741675075681,
|
2925 |
+
"grad_norm": 1.2909533977508545,
|
2926 |
+
"learning_rate": 6.689701371181781e-05,
|
2927 |
+
"loss": 1.3877,
|
2928 |
+
"step": 4170
|
2929 |
+
},
|
2930 |
+
{
|
2931 |
+
"epoch": 0.8435923309788093,
|
2932 |
+
"grad_norm": 1.4188405275344849,
|
2933 |
+
"learning_rate": 6.673987906813191e-05,
|
2934 |
+
"loss": 1.3629,
|
2935 |
+
"step": 4180
|
2936 |
+
},
|
2937 |
+
{
|
2938 |
+
"epoch": 0.8456104944500504,
|
2939 |
+
"grad_norm": 1.498369812965393,
|
2940 |
+
"learning_rate": 6.658255799982424e-05,
|
2941 |
+
"loss": 1.4719,
|
2942 |
+
"step": 4190
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 0.8476286579212916,
|
2946 |
+
"grad_norm": 1.3397397994995117,
|
2947 |
+
"learning_rate": 6.642505225890987e-05,
|
2948 |
+
"loss": 1.3999,
|
2949 |
+
"step": 4200
|
2950 |
+
},
|
2951 |
+
{
|
2952 |
+
"epoch": 0.8496468213925328,
|
2953 |
+
"grad_norm": 1.3505257368087769,
|
2954 |
+
"learning_rate": 6.626736359946052e-05,
|
2955 |
+
"loss": 1.4824,
|
2956 |
+
"step": 4210
|
2957 |
+
},
|
2958 |
+
{
|
2959 |
+
"epoch": 0.851664984863774,
|
2960 |
+
"grad_norm": 1.312658667564392,
|
2961 |
+
"learning_rate": 6.610949377758497e-05,
|
2962 |
+
"loss": 1.4902,
|
2963 |
+
"step": 4220
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 0.8536831483350151,
|
2967 |
+
"grad_norm": 1.4204723834991455,
|
2968 |
+
"learning_rate": 6.595144455140952e-05,
|
2969 |
+
"loss": 1.4635,
|
2970 |
+
"step": 4230
|
2971 |
+
},
|
2972 |
+
{
|
2973 |
+
"epoch": 0.8557013118062563,
|
2974 |
+
"grad_norm": 1.2958680391311646,
|
2975 |
+
"learning_rate": 6.579321768105845e-05,
|
2976 |
+
"loss": 1.4672,
|
2977 |
+
"step": 4240
|
2978 |
+
},
|
2979 |
+
{
|
2980 |
+
"epoch": 0.8577194752774975,
|
2981 |
+
"grad_norm": 1.4016082286834717,
|
2982 |
+
"learning_rate": 6.563481492863436e-05,
|
2983 |
+
"loss": 1.4476,
|
2984 |
+
"step": 4250
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 0.8597376387487387,
|
2988 |
+
"grad_norm": 1.3869260549545288,
|
2989 |
+
"learning_rate": 6.547623805819854e-05,
|
2990 |
+
"loss": 1.4194,
|
2991 |
+
"step": 4260
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 0.8617558022199798,
|
2995 |
+
"grad_norm": 1.2927767038345337,
|
2996 |
+
"learning_rate": 6.531748883575143e-05,
|
2997 |
+
"loss": 1.4523,
|
2998 |
+
"step": 4270
|
2999 |
+
},
|
3000 |
+
{
|
3001 |
+
"epoch": 0.863773965691221,
|
3002 |
+
"grad_norm": 2.418339729309082,
|
3003 |
+
"learning_rate": 6.51585690292128e-05,
|
3004 |
+
"loss": 1.3799,
|
3005 |
+
"step": 4280
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 0.8657921291624622,
|
3009 |
+
"grad_norm": 1.6442086696624756,
|
3010 |
+
"learning_rate": 6.499948040840219e-05,
|
3011 |
+
"loss": 1.4596,
|
3012 |
+
"step": 4290
|
3013 |
+
},
|
3014 |
+
{
|
3015 |
+
"epoch": 0.8678102926337034,
|
3016 |
+
"grad_norm": 1.377209186553955,
|
3017 |
+
"learning_rate": 6.484022474501914e-05,
|
3018 |
+
"loss": 1.4226,
|
3019 |
+
"step": 4300
|
3020 |
+
},
|
3021 |
+
{
|
3022 |
+
"epoch": 0.8698284561049445,
|
3023 |
+
"grad_norm": 1.3288756608963013,
|
3024 |
+
"learning_rate": 6.468080381262347e-05,
|
3025 |
+
"loss": 1.4244,
|
3026 |
+
"step": 4310
|
3027 |
+
},
|
3028 |
+
{
|
3029 |
+
"epoch": 0.8718466195761857,
|
3030 |
+
"grad_norm": 1.6183438301086426,
|
3031 |
+
"learning_rate": 6.45212193866155e-05,
|
3032 |
+
"loss": 1.4628,
|
3033 |
+
"step": 4320
|
3034 |
+
},
|
3035 |
+
{
|
3036 |
+
"epoch": 0.8738647830474269,
|
3037 |
+
"grad_norm": 1.3636276721954346,
|
3038 |
+
"learning_rate": 6.436147324421635e-05,
|
3039 |
+
"loss": 1.4082,
|
3040 |
+
"step": 4330
|
3041 |
+
},
|
3042 |
+
{
|
3043 |
+
"epoch": 0.875882946518668,
|
3044 |
+
"grad_norm": 1.5240586996078491,
|
3045 |
+
"learning_rate": 6.420156716444805e-05,
|
3046 |
+
"loss": 1.4043,
|
3047 |
+
"step": 4340
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 0.8779011099899092,
|
3051 |
+
"grad_norm": 1.2216293811798096,
|
3052 |
+
"learning_rate": 6.404150292811386e-05,
|
3053 |
+
"loss": 1.3972,
|
3054 |
+
"step": 4350
|
3055 |
+
},
|
3056 |
+
{
|
3057 |
+
"epoch": 0.8799192734611504,
|
3058 |
+
"grad_norm": 1.447521448135376,
|
3059 |
+
"learning_rate": 6.388128231777828e-05,
|
3060 |
+
"loss": 1.5133,
|
3061 |
+
"step": 4360
|
3062 |
+
},
|
3063 |
+
{
|
3064 |
+
"epoch": 0.8819374369323916,
|
3065 |
+
"grad_norm": 1.3184555768966675,
|
3066 |
+
"learning_rate": 6.372090711774732e-05,
|
3067 |
+
"loss": 1.3777,
|
3068 |
+
"step": 4370
|
3069 |
+
},
|
3070 |
+
{
|
3071 |
+
"epoch": 0.8839556004036327,
|
3072 |
+
"grad_norm": 1.3064029216766357,
|
3073 |
+
"learning_rate": 6.356037911404858e-05,
|
3074 |
+
"loss": 1.4235,
|
3075 |
+
"step": 4380
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 0.8859737638748738,
|
3079 |
+
"grad_norm": 1.252462387084961,
|
3080 |
+
"learning_rate": 6.339970009441137e-05,
|
3081 |
+
"loss": 1.4071,
|
3082 |
+
"step": 4390
|
3083 |
+
},
|
3084 |
+
{
|
3085 |
+
"epoch": 0.887991927346115,
|
3086 |
+
"grad_norm": 1.3973218202590942,
|
3087 |
+
"learning_rate": 6.323887184824678e-05,
|
3088 |
+
"loss": 1.397,
|
3089 |
+
"step": 4400
|
3090 |
+
},
|
3091 |
+
{
|
3092 |
+
"epoch": 0.8900100908173562,
|
3093 |
+
"grad_norm": 1.3893166780471802,
|
3094 |
+
"learning_rate": 6.307789616662778e-05,
|
3095 |
+
"loss": 1.3642,
|
3096 |
+
"step": 4410
|
3097 |
+
},
|
3098 |
+
{
|
3099 |
+
"epoch": 0.8920282542885973,
|
3100 |
+
"grad_norm": 1.329697847366333,
|
3101 |
+
"learning_rate": 6.291677484226929e-05,
|
3102 |
+
"loss": 1.5611,
|
3103 |
+
"step": 4420
|
3104 |
+
},
|
3105 |
+
{
|
3106 |
+
"epoch": 0.8940464177598385,
|
3107 |
+
"grad_norm": 1.4498480558395386,
|
3108 |
+
"learning_rate": 6.275550966950814e-05,
|
3109 |
+
"loss": 1.49,
|
3110 |
+
"step": 4430
|
3111 |
+
},
|
3112 |
+
{
|
3113 |
+
"epoch": 0.8960645812310797,
|
3114 |
+
"grad_norm": 1.3522253036499023,
|
3115 |
+
"learning_rate": 6.259410244428318e-05,
|
3116 |
+
"loss": 1.3945,
|
3117 |
+
"step": 4440
|
3118 |
+
},
|
3119 |
+
{
|
3120 |
+
"epoch": 0.8980827447023209,
|
3121 |
+
"grad_norm": 1.3933300971984863,
|
3122 |
+
"learning_rate": 6.243255496411519e-05,
|
3123 |
+
"loss": 1.4169,
|
3124 |
+
"step": 4450
|
3125 |
+
},
|
3126 |
+
{
|
3127 |
+
"epoch": 0.900100908173562,
|
3128 |
+
"grad_norm": 1.4387352466583252,
|
3129 |
+
"learning_rate": 6.227086902808697e-05,
|
3130 |
+
"loss": 1.5595,
|
3131 |
+
"step": 4460
|
3132 |
+
},
|
3133 |
+
{
|
3134 |
+
"epoch": 0.9021190716448032,
|
3135 |
+
"grad_norm": 1.339574933052063,
|
3136 |
+
"learning_rate": 6.210904643682318e-05,
|
3137 |
+
"loss": 1.4787,
|
3138 |
+
"step": 4470
|
3139 |
+
},
|
3140 |
+
{
|
3141 |
+
"epoch": 0.9041372351160444,
|
3142 |
+
"grad_norm": 1.3527144193649292,
|
3143 |
+
"learning_rate": 6.194708899247037e-05,
|
3144 |
+
"loss": 1.4132,
|
3145 |
+
"step": 4480
|
3146 |
+
},
|
3147 |
+
{
|
3148 |
+
"epoch": 0.9061553985872856,
|
3149 |
+
"grad_norm": 1.471655249595642,
|
3150 |
+
"learning_rate": 6.178499849867689e-05,
|
3151 |
+
"loss": 1.4548,
|
3152 |
+
"step": 4490
|
3153 |
+
},
|
3154 |
+
{
|
3155 |
+
"epoch": 0.9081735620585267,
|
3156 |
+
"grad_norm": 1.5146980285644531,
|
3157 |
+
"learning_rate": 6.162277676057284e-05,
|
3158 |
+
"loss": 1.4628,
|
3159 |
+
"step": 4500
|
3160 |
+
},
|
3161 |
+
{
|
3162 |
+
"epoch": 0.9101917255297679,
|
3163 |
+
"grad_norm": 1.2837083339691162,
|
3164 |
+
"learning_rate": 6.146042558474987e-05,
|
3165 |
+
"loss": 1.4305,
|
3166 |
+
"step": 4510
|
3167 |
+
},
|
3168 |
+
{
|
3169 |
+
"epoch": 0.9122098890010091,
|
3170 |
+
"grad_norm": 1.2286232709884644,
|
3171 |
+
"learning_rate": 6.129794677924113e-05,
|
3172 |
+
"loss": 1.4211,
|
3173 |
+
"step": 4520
|
3174 |
+
},
|
3175 |
+
{
|
3176 |
+
"epoch": 0.9142280524722503,
|
3177 |
+
"grad_norm": 1.3042244911193848,
|
3178 |
+
"learning_rate": 6.113534215350116e-05,
|
3179 |
+
"loss": 1.4328,
|
3180 |
+
"step": 4530
|
3181 |
+
},
|
3182 |
+
{
|
3183 |
+
"epoch": 0.9162462159434914,
|
3184 |
+
"grad_norm": 1.2900363206863403,
|
3185 |
+
"learning_rate": 6.097261351838569e-05,
|
3186 |
+
"loss": 1.591,
|
3187 |
+
"step": 4540
|
3188 |
+
},
|
3189 |
+
{
|
3190 |
+
"epoch": 0.9182643794147326,
|
3191 |
+
"grad_norm": 1.315226674079895,
|
3192 |
+
"learning_rate": 6.0809762686131474e-05,
|
3193 |
+
"loss": 1.3962,
|
3194 |
+
"step": 4550
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"epoch": 0.9202825428859738,
|
3198 |
+
"grad_norm": 1.2552099227905273,
|
3199 |
+
"learning_rate": 6.064679147033614e-05,
|
3200 |
+
"loss": 1.5005,
|
3201 |
+
"step": 4560
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 0.922300706357215,
|
3205 |
+
"grad_norm": 1.4059544801712036,
|
3206 |
+
"learning_rate": 6.0483701685937954e-05,
|
3207 |
+
"loss": 1.4515,
|
3208 |
+
"step": 4570
|
3209 |
+
},
|
3210 |
+
{
|
3211 |
+
"epoch": 0.9243188698284561,
|
3212 |
+
"grad_norm": 1.4410680532455444,
|
3213 |
+
"learning_rate": 6.0320495149195644e-05,
|
3214 |
+
"loss": 1.4045,
|
3215 |
+
"step": 4580
|
3216 |
+
},
|
3217 |
+
{
|
3218 |
+
"epoch": 0.9263370332996973,
|
3219 |
+
"grad_norm": 1.1760427951812744,
|
3220 |
+
"learning_rate": 6.015717367766815e-05,
|
3221 |
+
"loss": 1.5034,
|
3222 |
+
"step": 4590
|
3223 |
+
},
|
3224 |
+
{
|
3225 |
+
"epoch": 0.9283551967709385,
|
3226 |
+
"grad_norm": 1.3556947708129883,
|
3227 |
+
"learning_rate": 5.999373909019437e-05,
|
3228 |
+
"loss": 1.4571,
|
3229 |
+
"step": 4600
|
3230 |
+
},
|
3231 |
+
{
|
3232 |
+
"epoch": 0.9303733602421796,
|
3233 |
+
"grad_norm": 1.2202001810073853,
|
3234 |
+
"learning_rate": 5.9830193206872974e-05,
|
3235 |
+
"loss": 1.4304,
|
3236 |
+
"step": 4610
|
3237 |
+
},
|
3238 |
+
{
|
3239 |
+
"epoch": 0.9323915237134208,
|
3240 |
+
"grad_norm": 1.2118003368377686,
|
3241 |
+
"learning_rate": 5.966653784904207e-05,
|
3242 |
+
"loss": 1.4254,
|
3243 |
+
"step": 4620
|
3244 |
+
},
|
3245 |
+
{
|
3246 |
+
"epoch": 0.934409687184662,
|
3247 |
+
"grad_norm": 1.5171030759811401,
|
3248 |
+
"learning_rate": 5.950277483925889e-05,
|
3249 |
+
"loss": 1.4243,
|
3250 |
+
"step": 4630
|
3251 |
+
},
|
3252 |
+
{
|
3253 |
+
"epoch": 0.9364278506559032,
|
3254 |
+
"grad_norm": 1.0997145175933838,
|
3255 |
+
"learning_rate": 5.933890600127958e-05,
|
3256 |
+
"loss": 1.4485,
|
3257 |
+
"step": 4640
|
3258 |
+
},
|
3259 |
+
{
|
3260 |
+
"epoch": 0.9384460141271443,
|
3261 |
+
"grad_norm": 1.3518075942993164,
|
3262 |
+
"learning_rate": 5.917493316003884e-05,
|
3263 |
+
"loss": 1.4907,
|
3264 |
+
"step": 4650
|
3265 |
+
},
|
3266 |
+
{
|
3267 |
+
"epoch": 0.9404641775983855,
|
3268 |
+
"grad_norm": 1.3248131275177002,
|
3269 |
+
"learning_rate": 5.90108581416296e-05,
|
3270 |
+
"loss": 1.4629,
|
3271 |
+
"step": 4660
|
3272 |
+
},
|
3273 |
+
{
|
3274 |
+
"epoch": 0.9424823410696267,
|
3275 |
+
"grad_norm": 1.2627878189086914,
|
3276 |
+
"learning_rate": 5.8846682773282694e-05,
|
3277 |
+
"loss": 1.451,
|
3278 |
+
"step": 4670
|
3279 |
+
},
|
3280 |
+
{
|
3281 |
+
"epoch": 0.9445005045408678,
|
3282 |
+
"grad_norm": 1.4110251665115356,
|
3283 |
+
"learning_rate": 5.868240888334653e-05,
|
3284 |
+
"loss": 1.4425,
|
3285 |
+
"step": 4680
|
3286 |
+
},
|
3287 |
+
{
|
3288 |
+
"epoch": 0.9465186680121089,
|
3289 |
+
"grad_norm": 1.2221981287002563,
|
3290 |
+
"learning_rate": 5.851803830126666e-05,
|
3291 |
+
"loss": 1.5313,
|
3292 |
+
"step": 4690
|
3293 |
+
},
|
3294 |
+
{
|
3295 |
+
"epoch": 0.9485368314833501,
|
3296 |
+
"grad_norm": 1.2160431146621704,
|
3297 |
+
"learning_rate": 5.835357285756552e-05,
|
3298 |
+
"loss": 1.3897,
|
3299 |
+
"step": 4700
|
3300 |
+
},
|
3301 |
+
{
|
3302 |
+
"epoch": 0.9505549949545913,
|
3303 |
+
"grad_norm": 1.2338696718215942,
|
3304 |
+
"learning_rate": 5.8189014383821914e-05,
|
3305 |
+
"loss": 1.311,
|
3306 |
+
"step": 4710
|
3307 |
+
},
|
3308 |
+
{
|
3309 |
+
"epoch": 0.9525731584258325,
|
3310 |
+
"grad_norm": 1.3585981130599976,
|
3311 |
+
"learning_rate": 5.8024364712650724e-05,
|
3312 |
+
"loss": 1.4082,
|
3313 |
+
"step": 4720
|
3314 |
+
},
|
3315 |
+
{
|
3316 |
+
"epoch": 0.9545913218970736,
|
3317 |
+
"grad_norm": 1.922635555267334,
|
3318 |
+
"learning_rate": 5.785962567768243e-05,
|
3319 |
+
"loss": 1.3854,
|
3320 |
+
"step": 4730
|
3321 |
+
},
|
3322 |
+
{
|
3323 |
+
"epoch": 0.9566094853683148,
|
3324 |
+
"grad_norm": 1.230394959449768,
|
3325 |
+
"learning_rate": 5.769479911354273e-05,
|
3326 |
+
"loss": 1.4562,
|
3327 |
+
"step": 4740
|
3328 |
+
},
|
3329 |
+
{
|
3330 |
+
"epoch": 0.958627648839556,
|
3331 |
+
"grad_norm": 1.2346444129943848,
|
3332 |
+
"learning_rate": 5.7529886855832096e-05,
|
3333 |
+
"loss": 1.5012,
|
3334 |
+
"step": 4750
|
3335 |
+
},
|
3336 |
+
{
|
3337 |
+
"epoch": 0.9606458123107972,
|
3338 |
+
"grad_norm": 1.4491231441497803,
|
3339 |
+
"learning_rate": 5.736489074110533e-05,
|
3340 |
+
"loss": 1.2942,
|
3341 |
+
"step": 4760
|
3342 |
+
},
|
3343 |
+
{
|
3344 |
+
"epoch": 0.9626639757820383,
|
3345 |
+
"grad_norm": 1.3211175203323364,
|
3346 |
+
"learning_rate": 5.71998126068511e-05,
|
3347 |
+
"loss": 1.3634,
|
3348 |
+
"step": 4770
|
3349 |
+
},
|
3350 |
+
{
|
3351 |
+
"epoch": 0.9646821392532795,
|
3352 |
+
"grad_norm": 1.215053915977478,
|
3353 |
+
"learning_rate": 5.7034654291471524e-05,
|
3354 |
+
"loss": 1.434,
|
3355 |
+
"step": 4780
|
3356 |
+
},
|
3357 |
+
{
|
3358 |
+
"epoch": 0.9667003027245207,
|
3359 |
+
"grad_norm": 1.1765618324279785,
|
3360 |
+
"learning_rate": 5.686941763426161e-05,
|
3361 |
+
"loss": 1.4677,
|
3362 |
+
"step": 4790
|
3363 |
+
},
|
3364 |
+
{
|
3365 |
+
"epoch": 0.9687184661957619,
|
3366 |
+
"grad_norm": 1.3212573528289795,
|
3367 |
+
"learning_rate": 5.670410447538889e-05,
|
3368 |
+
"loss": 1.4113,
|
3369 |
+
"step": 4800
|
3370 |
+
},
|
3371 |
+
{
|
3372 |
+
"epoch": 0.970736629667003,
|
3373 |
+
"grad_norm": 1.455395221710205,
|
3374 |
+
"learning_rate": 5.653871665587278e-05,
|
3375 |
+
"loss": 1.4146,
|
3376 |
+
"step": 4810
|
3377 |
+
},
|
3378 |
+
{
|
3379 |
+
"epoch": 0.9727547931382442,
|
3380 |
+
"grad_norm": 1.19629967212677,
|
3381 |
+
"learning_rate": 5.6373256017564215e-05,
|
3382 |
+
"loss": 1.3996,
|
3383 |
+
"step": 4820
|
3384 |
+
},
|
3385 |
+
{
|
3386 |
+
"epoch": 0.9747729566094854,
|
3387 |
+
"grad_norm": 1.6926542520523071,
|
3388 |
+
"learning_rate": 5.620772440312508e-05,
|
3389 |
+
"loss": 1.4043,
|
3390 |
+
"step": 4830
|
3391 |
+
},
|
3392 |
+
{
|
3393 |
+
"epoch": 0.9767911200807265,
|
3394 |
+
"grad_norm": 1.3891587257385254,
|
3395 |
+
"learning_rate": 5.6042123656007685e-05,
|
3396 |
+
"loss": 1.4503,
|
3397 |
+
"step": 4840
|
3398 |
+
},
|
3399 |
+
{
|
3400 |
+
"epoch": 0.9788092835519677,
|
3401 |
+
"grad_norm": 1.368962287902832,
|
3402 |
+
"learning_rate": 5.587645562043422e-05,
|
3403 |
+
"loss": 1.427,
|
3404 |
+
"step": 4850
|
3405 |
+
},
|
3406 |
+
{
|
3407 |
+
"epoch": 0.9808274470232089,
|
3408 |
+
"grad_norm": 1.3921308517456055,
|
3409 |
+
"learning_rate": 5.5710722141376245e-05,
|
3410 |
+
"loss": 1.3451,
|
3411 |
+
"step": 4860
|
3412 |
+
},
|
3413 |
+
{
|
3414 |
+
"epoch": 0.9828456104944501,
|
3415 |
+
"grad_norm": 1.1947131156921387,
|
3416 |
+
"learning_rate": 5.5544925064534145e-05,
|
3417 |
+
"loss": 1.3041,
|
3418 |
+
"step": 4870
|
3419 |
+
},
|
3420 |
+
{
|
3421 |
+
"epoch": 0.9848637739656912,
|
3422 |
+
"grad_norm": 1.3686097860336304,
|
3423 |
+
"learning_rate": 5.537906623631657e-05,
|
3424 |
+
"loss": 1.5366,
|
3425 |
+
"step": 4880
|
3426 |
+
},
|
3427 |
+
{
|
3428 |
+
"epoch": 0.9868819374369324,
|
3429 |
+
"grad_norm": 1.3779717683792114,
|
3430 |
+
"learning_rate": 5.521314750381983e-05,
|
3431 |
+
"loss": 1.3769,
|
3432 |
+
"step": 4890
|
3433 |
+
},
|
3434 |
+
{
|
3435 |
+
"epoch": 0.9889001009081736,
|
3436 |
+
"grad_norm": 1.2698273658752441,
|
3437 |
+
"learning_rate": 5.5047170714807406e-05,
|
3438 |
+
"loss": 1.3719,
|
3439 |
+
"step": 4900
|
3440 |
+
},
|
3441 |
+
{
|
3442 |
+
"epoch": 0.9909182643794148,
|
3443 |
+
"grad_norm": 1.1771740913391113,
|
3444 |
+
"learning_rate": 5.4881137717689315e-05,
|
3445 |
+
"loss": 1.3579,
|
3446 |
+
"step": 4910
|
3447 |
+
},
|
3448 |
+
{
|
3449 |
+
"epoch": 0.992936427850656,
|
3450 |
+
"grad_norm": 1.2798762321472168,
|
3451 |
+
"learning_rate": 5.471505036150154e-05,
|
3452 |
+
"loss": 1.3889,
|
3453 |
+
"step": 4920
|
3454 |
+
},
|
3455 |
+
{
|
3456 |
+
"epoch": 0.9949545913218971,
|
3457 |
+
"grad_norm": 1.7384541034698486,
|
3458 |
+
"learning_rate": 5.454891049588544e-05,
|
3459 |
+
"loss": 1.531,
|
3460 |
+
"step": 4930
|
3461 |
+
},
|
3462 |
+
{
|
3463 |
+
"epoch": 0.9969727547931383,
|
3464 |
+
"grad_norm": 1.2217923402786255,
|
3465 |
+
"learning_rate": 5.438271997106712e-05,
|
3466 |
+
"loss": 1.406,
|
3467 |
+
"step": 4940
|
3468 |
+
},
|
3469 |
+
{
|
3470 |
+
"epoch": 0.9989909182643795,
|
3471 |
+
"grad_norm": 1.1362420320510864,
|
3472 |
+
"learning_rate": 5.421648063783689e-05,
|
3473 |
+
"loss": 1.2914,
|
3474 |
+
"step": 4950
|
3475 |
+
}
|
3476 |
+
],
|
3477 |
+
"logging_steps": 10,
|
3478 |
+
"max_steps": 9910,
|
3479 |
+
"num_input_tokens_seen": 0,
|
3480 |
+
"num_train_epochs": 2,
|
3481 |
+
"save_steps": 4955,
|
3482 |
+
"stateful_callbacks": {
|
3483 |
+
"TrainerControl": {
|
3484 |
+
"args": {
|
3485 |
+
"should_epoch_stop": false,
|
3486 |
+
"should_evaluate": false,
|
3487 |
+
"should_log": false,
|
3488 |
+
"should_save": true,
|
3489 |
+
"should_training_stop": false
|
3490 |
+
},
|
3491 |
+
"attributes": {}
|
3492 |
+
}
|
3493 |
+
},
|
3494 |
+
"total_flos": 8.387441374475059e+17,
|
3495 |
+
"train_batch_size": 8,
|
3496 |
+
"trial_name": null,
|
3497 |
+
"trial_params": null
|
3498 |
+
}
|
checkpoint-4955/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f5e972b7d316d195c84f74bbc2d36e72d11d4d74af3f7e1b7c30401c068aa6a6
|
3 |
+
size 5432
|
checkpoint-9910/config.json
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/OLMo-2-1124-7B-dzo_Tibt-coli-mean/",
|
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-9910/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-9910/model-00001-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:54f832dd260a16e59fbe9b37038eefe30e61dd8b9e4bc3ac50a799e8a3a5a3d1
|
3 |
+
size 4950070472
|
checkpoint-9910/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-9910/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-9910/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-9910/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-9910/model-00006-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d9def91ea383873d3fa8086e772cd8351b7aa2c5ca36d095f2c3a6f9a4e98652
|
3 |
+
size 4614509080
|
checkpoint-9910/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-9910/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1f43d7ccef4745c85fb4856dce1956dc442d1fadce11297ba2f3958a010551b2
|
3 |
+
size 13055369358
|
checkpoint-9910/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-9910/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:62175ba90aed8860e6e358d54eacbce4d29da45c99caa1fd61b0dfcff9e66a73
|
3 |
+
size 1064
|
checkpoint-9910/trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-9910/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f5e972b7d316d195c84f74bbc2d36e72d11d4d74af3f7e1b7c30401c068aa6a6
|
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-dzo_Tibt-coli-mean/",
|
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 sha256:54f832dd260a16e59fbe9b37038eefe30e61dd8b9e4bc3ac50a799e8a3a5a3d1
|
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:d9def91ea383873d3fa8086e772cd8351b7aa2c5ca36d095f2c3a6f9a4e98652
|
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:f5e972b7d316d195c84f74bbc2d36e72d11d4d74af3f7e1b7c30401c068aa6a6
|
3 |
+
size 5432
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|