Upload task output c732d2c1-46df-4ed8-83ee-7525f648965f
Browse files- .gitattributes +1 -0
- added_tokens.json +28 -0
- config.json +30 -0
- generation_config.json +6 -0
- loss.txt +1 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +406 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +240 -0
- trainer_state.json +742 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
added_tokens.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</think>": 151668,
|
3 |
+
"</tool_call>": 151658,
|
4 |
+
"</tool_response>": 151666,
|
5 |
+
"<think>": 151667,
|
6 |
+
"<tool_call>": 151657,
|
7 |
+
"<tool_response>": 151665,
|
8 |
+
"<|box_end|>": 151649,
|
9 |
+
"<|box_start|>": 151648,
|
10 |
+
"<|endoftext|>": 151643,
|
11 |
+
"<|file_sep|>": 151664,
|
12 |
+
"<|fim_middle|>": 151660,
|
13 |
+
"<|fim_pad|>": 151662,
|
14 |
+
"<|fim_prefix|>": 151659,
|
15 |
+
"<|fim_suffix|>": 151661,
|
16 |
+
"<|im_end|>": 151645,
|
17 |
+
"<|im_start|>": 151644,
|
18 |
+
"<|image_pad|>": 151655,
|
19 |
+
"<|object_ref_end|>": 151647,
|
20 |
+
"<|object_ref_start|>": 151646,
|
21 |
+
"<|quad_end|>": 151651,
|
22 |
+
"<|quad_start|>": 151650,
|
23 |
+
"<|repo_name|>": 151663,
|
24 |
+
"<|video_pad|>": 151656,
|
25 |
+
"<|vision_end|>": 151653,
|
26 |
+
"<|vision_pad|>": 151654,
|
27 |
+
"<|vision_start|>": 151652
|
28 |
+
}
|
config.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"Qwen3ForCausalLM"
|
4 |
+
],
|
5 |
+
"attention_bias": false,
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 151643,
|
8 |
+
"eos_token_id": 151643,
|
9 |
+
"head_dim": 128,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 4096,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 12288,
|
14 |
+
"max_position_embeddings": 32768,
|
15 |
+
"max_window_layers": 36,
|
16 |
+
"model_type": "qwen3",
|
17 |
+
"num_attention_heads": 32,
|
18 |
+
"num_hidden_layers": 36,
|
19 |
+
"num_key_value_heads": 8,
|
20 |
+
"rms_norm_eps": 1e-06,
|
21 |
+
"rope_scaling": null,
|
22 |
+
"rope_theta": 1000000,
|
23 |
+
"sliding_window": null,
|
24 |
+
"tie_word_embeddings": false,
|
25 |
+
"torch_dtype": "bfloat16",
|
26 |
+
"transformers_version": "4.51.3",
|
27 |
+
"use_cache": false,
|
28 |
+
"use_sliding_window": false,
|
29 |
+
"vocab_size": 151936
|
30 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 151643,
|
3 |
+
"eos_token_id": 151643,
|
4 |
+
"max_new_tokens": 2048,
|
5 |
+
"transformers_version": "4.51.3"
|
6 |
+
}
|
loss.txt
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
500,2.2115273475646973
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
model-00001-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9c820a9fb759a25991838953ae6d86b8ec46092e74b54dc80ddc417eed395ddb
|
3 |
+
size 4902257696
|
model-00002-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:39b1b7ca4ffa8a122e1999c8d9c9775e7e374ffa7c53bb5bc76907c5ca807e80
|
3 |
+
size 4915960368
|
model-00003-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bcfc2a74be00ca6ba85bfaaea4ae3cee1c6ed3eeeb996f4ed133d519b0b5cea2
|
3 |
+
size 4983068496
|
model-00004-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:77b5d70ba3181416d178af2476948287efade1650d4d25297d6e66add6e88e69
|
3 |
+
size 1580230264
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,406 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 16381470720
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00004-of-00004.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
16 |
+
"model.layers.0.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
18 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
19 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
20 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
21 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
22 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
23 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
24 |
+
"model.layers.1.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
25 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
26 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
27 |
+
"model.layers.1.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
28 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
29 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
30 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
31 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
32 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
33 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
34 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
35 |
+
"model.layers.10.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
36 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
37 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
38 |
+
"model.layers.10.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
39 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
40 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
41 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
42 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
43 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
44 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
45 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
46 |
+
"model.layers.11.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
47 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
48 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
49 |
+
"model.layers.11.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
50 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
51 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
52 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
53 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
54 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
55 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
56 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
57 |
+
"model.layers.12.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
58 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
59 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
60 |
+
"model.layers.12.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
61 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
62 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
63 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
64 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
65 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
66 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
67 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
68 |
+
"model.layers.13.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
69 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
70 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
71 |
+
"model.layers.13.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
72 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
73 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
74 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
75 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
76 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
77 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
78 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
79 |
+
"model.layers.14.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
80 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
81 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
82 |
+
"model.layers.14.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
83 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
84 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
85 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
86 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
87 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
88 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
89 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
90 |
+
"model.layers.15.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
91 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
92 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
93 |
+
"model.layers.15.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
94 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
95 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
96 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
97 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
98 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
99 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
100 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
101 |
+
"model.layers.16.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
102 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
103 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
104 |
+
"model.layers.16.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
105 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
106 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
107 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
108 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
109 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
110 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
111 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
112 |
+
"model.layers.17.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
113 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
114 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
115 |
+
"model.layers.17.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
116 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
117 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
118 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
119 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
120 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
121 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
122 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
123 |
+
"model.layers.18.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
124 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
125 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
126 |
+
"model.layers.18.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
127 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
128 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
129 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
130 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
131 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
132 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
133 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
134 |
+
"model.layers.19.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
135 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
136 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
137 |
+
"model.layers.19.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
138 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
139 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
140 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
141 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
142 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
143 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
144 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
145 |
+
"model.layers.2.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
146 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
147 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
148 |
+
"model.layers.2.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
149 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
150 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
151 |
+
"model.layers.20.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
152 |
+
"model.layers.20.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
153 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
154 |
+
"model.layers.20.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
155 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
156 |
+
"model.layers.20.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
157 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
158 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
159 |
+
"model.layers.20.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
160 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
161 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
162 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
163 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
164 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
165 |
+
"model.layers.21.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
166 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
167 |
+
"model.layers.21.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
168 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
169 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
170 |
+
"model.layers.21.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
171 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
172 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
173 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
174 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
175 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
176 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
177 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
178 |
+
"model.layers.22.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
179 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
180 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
181 |
+
"model.layers.22.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
182 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
183 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
184 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
185 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
186 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
187 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
188 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
189 |
+
"model.layers.23.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
190 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
191 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
192 |
+
"model.layers.23.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
193 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
194 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
195 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
196 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
197 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
198 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
199 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
200 |
+
"model.layers.24.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
201 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
202 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
203 |
+
"model.layers.24.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
204 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
205 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
206 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
207 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
208 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
209 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
210 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
211 |
+
"model.layers.25.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
212 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
213 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
214 |
+
"model.layers.25.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
215 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
216 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
217 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
218 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
219 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
220 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
221 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
222 |
+
"model.layers.26.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
223 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
224 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
225 |
+
"model.layers.26.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
226 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
227 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
228 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
229 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
230 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
231 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
232 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
233 |
+
"model.layers.27.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
234 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
235 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
236 |
+
"model.layers.27.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
237 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
238 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
239 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
240 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
241 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
242 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
243 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
244 |
+
"model.layers.28.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
245 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
246 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
247 |
+
"model.layers.28.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
248 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
249 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
250 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
251 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
252 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
253 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
254 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
255 |
+
"model.layers.29.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
256 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
257 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
258 |
+
"model.layers.29.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
259 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
260 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
261 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
262 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
263 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
264 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
265 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
266 |
+
"model.layers.3.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
267 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
268 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
269 |
+
"model.layers.3.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
270 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
271 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
272 |
+
"model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
273 |
+
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
274 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
275 |
+
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
276 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
277 |
+
"model.layers.30.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
278 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
279 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
280 |
+
"model.layers.30.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
281 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
282 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
283 |
+
"model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
284 |
+
"model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
285 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
286 |
+
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
287 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
288 |
+
"model.layers.31.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
289 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
290 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
291 |
+
"model.layers.31.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
292 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
293 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
294 |
+
"model.layers.32.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
295 |
+
"model.layers.32.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
296 |
+
"model.layers.32.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
297 |
+
"model.layers.32.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
298 |
+
"model.layers.32.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
299 |
+
"model.layers.32.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
300 |
+
"model.layers.32.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
301 |
+
"model.layers.32.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
302 |
+
"model.layers.32.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
303 |
+
"model.layers.32.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
304 |
+
"model.layers.32.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
305 |
+
"model.layers.33.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
306 |
+
"model.layers.33.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
307 |
+
"model.layers.33.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
308 |
+
"model.layers.33.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
309 |
+
"model.layers.33.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
310 |
+
"model.layers.33.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
311 |
+
"model.layers.33.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
312 |
+
"model.layers.33.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
313 |
+
"model.layers.33.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
314 |
+
"model.layers.33.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
315 |
+
"model.layers.33.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
316 |
+
"model.layers.34.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
317 |
+
"model.layers.34.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
318 |
+
"model.layers.34.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
319 |
+
"model.layers.34.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
320 |
+
"model.layers.34.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
321 |
+
"model.layers.34.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
322 |
+
"model.layers.34.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
323 |
+
"model.layers.34.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
324 |
+
"model.layers.34.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
325 |
+
"model.layers.34.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
326 |
+
"model.layers.34.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
327 |
+
"model.layers.35.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
328 |
+
"model.layers.35.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
329 |
+
"model.layers.35.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
330 |
+
"model.layers.35.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
331 |
+
"model.layers.35.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
332 |
+
"model.layers.35.self_attn.k_norm.weight": "model-00004-of-00004.safetensors",
|
333 |
+
"model.layers.35.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
334 |
+
"model.layers.35.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
335 |
+
"model.layers.35.self_attn.q_norm.weight": "model-00004-of-00004.safetensors",
|
336 |
+
"model.layers.35.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
337 |
+
"model.layers.35.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
338 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
339 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
340 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
341 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
342 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
343 |
+
"model.layers.4.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
344 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
345 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
346 |
+
"model.layers.4.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
347 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
348 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
349 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
350 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
351 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
352 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
353 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
354 |
+
"model.layers.5.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
355 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
356 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
357 |
+
"model.layers.5.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
358 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
359 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
360 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
361 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
362 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
363 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
364 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
365 |
+
"model.layers.6.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
366 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
367 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
368 |
+
"model.layers.6.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
369 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
370 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
371 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
372 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
373 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
374 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
375 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
376 |
+
"model.layers.7.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
377 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
378 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
379 |
+
"model.layers.7.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
380 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
381 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
382 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
383 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
384 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
385 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
386 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
387 |
+
"model.layers.8.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
388 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
389 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
390 |
+
"model.layers.8.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
391 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
392 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
393 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
394 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
395 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
396 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
397 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
398 |
+
"model.layers.9.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
399 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
400 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
401 |
+
"model.layers.9.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
402 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
403 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
404 |
+
"model.norm.weight": "model-00004-of-00004.safetensors"
|
405 |
+
}
|
406 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<|object_ref_start|>",
|
6 |
+
"<|object_ref_end|>",
|
7 |
+
"<|box_start|>",
|
8 |
+
"<|box_end|>",
|
9 |
+
"<|quad_start|>",
|
10 |
+
"<|quad_end|>",
|
11 |
+
"<|vision_start|>",
|
12 |
+
"<|vision_end|>",
|
13 |
+
"<|vision_pad|>",
|
14 |
+
"<|image_pad|>",
|
15 |
+
"<|video_pad|>"
|
16 |
+
],
|
17 |
+
"eos_token": {
|
18 |
+
"content": "<|endoftext|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
},
|
24 |
+
"pad_token": {
|
25 |
+
"content": "<|endoftext|>",
|
26 |
+
"lstrip": false,
|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
}
|
31 |
+
}
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
3 |
+
size 11422654
|
tokenizer_config.json
ADDED
@@ -0,0 +1,240 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"151643": {
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"151644": {
|
14 |
+
"content": "<|im_start|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"151645": {
|
22 |
+
"content": "<|im_end|>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"151646": {
|
30 |
+
"content": "<|object_ref_start|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"151647": {
|
38 |
+
"content": "<|object_ref_end|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"151648": {
|
46 |
+
"content": "<|box_start|>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"151649": {
|
54 |
+
"content": "<|box_end|>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"151650": {
|
62 |
+
"content": "<|quad_start|>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"151651": {
|
70 |
+
"content": "<|quad_end|>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": false,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": false,
|
75 |
+
"special": true
|
76 |
+
},
|
77 |
+
"151652": {
|
78 |
+
"content": "<|vision_start|>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": false,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": false,
|
83 |
+
"special": true
|
84 |
+
},
|
85 |
+
"151653": {
|
86 |
+
"content": "<|vision_end|>",
|
87 |
+
"lstrip": false,
|
88 |
+
"normalized": false,
|
89 |
+
"rstrip": false,
|
90 |
+
"single_word": false,
|
91 |
+
"special": true
|
92 |
+
},
|
93 |
+
"151654": {
|
94 |
+
"content": "<|vision_pad|>",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": false,
|
97 |
+
"rstrip": false,
|
98 |
+
"single_word": false,
|
99 |
+
"special": true
|
100 |
+
},
|
101 |
+
"151655": {
|
102 |
+
"content": "<|image_pad|>",
|
103 |
+
"lstrip": false,
|
104 |
+
"normalized": false,
|
105 |
+
"rstrip": false,
|
106 |
+
"single_word": false,
|
107 |
+
"special": true
|
108 |
+
},
|
109 |
+
"151656": {
|
110 |
+
"content": "<|video_pad|>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
},
|
117 |
+
"151657": {
|
118 |
+
"content": "<tool_call>",
|
119 |
+
"lstrip": false,
|
120 |
+
"normalized": false,
|
121 |
+
"rstrip": false,
|
122 |
+
"single_word": false,
|
123 |
+
"special": false
|
124 |
+
},
|
125 |
+
"151658": {
|
126 |
+
"content": "</tool_call>",
|
127 |
+
"lstrip": false,
|
128 |
+
"normalized": false,
|
129 |
+
"rstrip": false,
|
130 |
+
"single_word": false,
|
131 |
+
"special": false
|
132 |
+
},
|
133 |
+
"151659": {
|
134 |
+
"content": "<|fim_prefix|>",
|
135 |
+
"lstrip": false,
|
136 |
+
"normalized": false,
|
137 |
+
"rstrip": false,
|
138 |
+
"single_word": false,
|
139 |
+
"special": false
|
140 |
+
},
|
141 |
+
"151660": {
|
142 |
+
"content": "<|fim_middle|>",
|
143 |
+
"lstrip": false,
|
144 |
+
"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": false
|
148 |
+
},
|
149 |
+
"151661": {
|
150 |
+
"content": "<|fim_suffix|>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": false
|
156 |
+
},
|
157 |
+
"151662": {
|
158 |
+
"content": "<|fim_pad|>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"151663": {
|
166 |
+
"content": "<|repo_name|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"151664": {
|
174 |
+
"content": "<|file_sep|>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": false
|
180 |
+
},
|
181 |
+
"151665": {
|
182 |
+
"content": "<tool_response>",
|
183 |
+
"lstrip": false,
|
184 |
+
"normalized": false,
|
185 |
+
"rstrip": false,
|
186 |
+
"single_word": false,
|
187 |
+
"special": false
|
188 |
+
},
|
189 |
+
"151666": {
|
190 |
+
"content": "</tool_response>",
|
191 |
+
"lstrip": false,
|
192 |
+
"normalized": false,
|
193 |
+
"rstrip": false,
|
194 |
+
"single_word": false,
|
195 |
+
"special": false
|
196 |
+
},
|
197 |
+
"151667": {
|
198 |
+
"content": "<think>",
|
199 |
+
"lstrip": false,
|
200 |
+
"normalized": false,
|
201 |
+
"rstrip": false,
|
202 |
+
"single_word": false,
|
203 |
+
"special": false
|
204 |
+
},
|
205 |
+
"151668": {
|
206 |
+
"content": "</think>",
|
207 |
+
"lstrip": false,
|
208 |
+
"normalized": false,
|
209 |
+
"rstrip": false,
|
210 |
+
"single_word": false,
|
211 |
+
"special": false
|
212 |
+
}
|
213 |
+
},
|
214 |
+
"additional_special_tokens": [
|
215 |
+
"<|im_start|>",
|
216 |
+
"<|im_end|>",
|
217 |
+
"<|object_ref_start|>",
|
218 |
+
"<|object_ref_end|>",
|
219 |
+
"<|box_start|>",
|
220 |
+
"<|box_end|>",
|
221 |
+
"<|quad_start|>",
|
222 |
+
"<|quad_end|>",
|
223 |
+
"<|vision_start|>",
|
224 |
+
"<|vision_end|>",
|
225 |
+
"<|vision_pad|>",
|
226 |
+
"<|image_pad|>",
|
227 |
+
"<|video_pad|>"
|
228 |
+
],
|
229 |
+
"bos_token": null,
|
230 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in message.content %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
|
231 |
+
"clean_up_tokenization_spaces": false,
|
232 |
+
"eos_token": "<|endoftext|>",
|
233 |
+
"errors": "replace",
|
234 |
+
"extra_special_tokens": {},
|
235 |
+
"model_max_length": 131072,
|
236 |
+
"pad_token": "<|endoftext|>",
|
237 |
+
"split_special_tokens": false,
|
238 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
239 |
+
"unk_token": null
|
240 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,742 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 0.04485511796896026,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 500,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.0004485511796896026,
|
14 |
+
"grad_norm": 14.375,
|
15 |
+
"learning_rate": 4e-06,
|
16 |
+
"loss": 2.1672,
|
17 |
+
"step": 5
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.0008971023593792052,
|
21 |
+
"grad_norm": 21.875,
|
22 |
+
"learning_rate": 8.999999999999999e-06,
|
23 |
+
"loss": 1.8368,
|
24 |
+
"step": 10
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.0013456535390688076,
|
28 |
+
"grad_norm": 10.9375,
|
29 |
+
"learning_rate": 1.4e-05,
|
30 |
+
"loss": 2.0673,
|
31 |
+
"step": 15
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.0017942047187584104,
|
35 |
+
"grad_norm": 12.8125,
|
36 |
+
"learning_rate": 1.8999999999999998e-05,
|
37 |
+
"loss": 1.7473,
|
38 |
+
"step": 20
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.002242755898448013,
|
42 |
+
"grad_norm": 8.0625,
|
43 |
+
"learning_rate": 2.3999999999999997e-05,
|
44 |
+
"loss": 1.5355,
|
45 |
+
"step": 25
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.0026913070781376153,
|
49 |
+
"grad_norm": 10.125,
|
50 |
+
"learning_rate": 2.9e-05,
|
51 |
+
"loss": 1.5981,
|
52 |
+
"step": 30
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.003139858257827218,
|
56 |
+
"grad_norm": 7.25,
|
57 |
+
"learning_rate": 3.4e-05,
|
58 |
+
"loss": 1.3957,
|
59 |
+
"step": 35
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.003588409437516821,
|
63 |
+
"grad_norm": 8.1875,
|
64 |
+
"learning_rate": 3.499999907137561e-05,
|
65 |
+
"loss": 1.5353,
|
66 |
+
"step": 40
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.004036960617206423,
|
70 |
+
"grad_norm": 7.9375,
|
71 |
+
"learning_rate": 3.499999529883925e-05,
|
72 |
+
"loss": 1.418,
|
73 |
+
"step": 45
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.004485511796896026,
|
77 |
+
"grad_norm": 5.59375,
|
78 |
+
"learning_rate": 3.499998862435274e-05,
|
79 |
+
"loss": 1.5083,
|
80 |
+
"step": 50
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.004934062976585629,
|
84 |
+
"grad_norm": 6.84375,
|
85 |
+
"learning_rate": 3.499997904791754e-05,
|
86 |
+
"loss": 1.461,
|
87 |
+
"step": 55
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.005382614156275231,
|
91 |
+
"grad_norm": 7.0,
|
92 |
+
"learning_rate": 3.4999966569535776e-05,
|
93 |
+
"loss": 1.4581,
|
94 |
+
"step": 60
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.005831165335964833,
|
98 |
+
"grad_norm": 13.8125,
|
99 |
+
"learning_rate": 3.499995118921021e-05,
|
100 |
+
"loss": 1.7087,
|
101 |
+
"step": 65
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.006279716515654436,
|
105 |
+
"grad_norm": 7.15625,
|
106 |
+
"learning_rate": 3.4999932906944236e-05,
|
107 |
+
"loss": 1.348,
|
108 |
+
"step": 70
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.006728267695344039,
|
112 |
+
"grad_norm": 11.9375,
|
113 |
+
"learning_rate": 3.4999911722741894e-05,
|
114 |
+
"loss": 1.4475,
|
115 |
+
"step": 75
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.007176818875033642,
|
119 |
+
"grad_norm": 10.1875,
|
120 |
+
"learning_rate": 3.499988763660788e-05,
|
121 |
+
"loss": 1.517,
|
122 |
+
"step": 80
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.0076253700547232435,
|
126 |
+
"grad_norm": 7.09375,
|
127 |
+
"learning_rate": 3.4999860648547514e-05,
|
128 |
+
"loss": 1.329,
|
129 |
+
"step": 85
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.008073921234412846,
|
133 |
+
"grad_norm": 13.375,
|
134 |
+
"learning_rate": 3.499983075856676e-05,
|
135 |
+
"loss": 1.7583,
|
136 |
+
"step": 90
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.00852247241410245,
|
140 |
+
"grad_norm": 8.25,
|
141 |
+
"learning_rate": 3.499979796667222e-05,
|
142 |
+
"loss": 1.382,
|
143 |
+
"step": 95
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.008971023593792052,
|
147 |
+
"grad_norm": 7.3125,
|
148 |
+
"learning_rate": 3.4999762272871155e-05,
|
149 |
+
"loss": 1.4598,
|
150 |
+
"step": 100
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.009419574773481654,
|
154 |
+
"grad_norm": 10.25,
|
155 |
+
"learning_rate": 3.499972367717146e-05,
|
156 |
+
"loss": 1.5433,
|
157 |
+
"step": 105
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.009868125953171257,
|
161 |
+
"grad_norm": 7.375,
|
162 |
+
"learning_rate": 3.4999682179581665e-05,
|
163 |
+
"loss": 1.5629,
|
164 |
+
"step": 110
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.01031667713286086,
|
168 |
+
"grad_norm": 4.90625,
|
169 |
+
"learning_rate": 3.499963778011093e-05,
|
170 |
+
"loss": 1.5992,
|
171 |
+
"step": 115
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.010765228312550461,
|
175 |
+
"grad_norm": 5.34375,
|
176 |
+
"learning_rate": 3.499959047876909e-05,
|
177 |
+
"loss": 1.4565,
|
178 |
+
"step": 120
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 0.011213779492240065,
|
182 |
+
"grad_norm": 8.4375,
|
183 |
+
"learning_rate": 3.49995402755666e-05,
|
184 |
+
"loss": 1.543,
|
185 |
+
"step": 125
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.011662330671929667,
|
189 |
+
"grad_norm": 7.0,
|
190 |
+
"learning_rate": 3.4999487170514556e-05,
|
191 |
+
"loss": 1.5431,
|
192 |
+
"step": 130
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.01211088185161927,
|
196 |
+
"grad_norm": 6.3125,
|
197 |
+
"learning_rate": 3.499943116362471e-05,
|
198 |
+
"loss": 1.4024,
|
199 |
+
"step": 135
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.012559433031308872,
|
203 |
+
"grad_norm": 10.3125,
|
204 |
+
"learning_rate": 3.499937225490943e-05,
|
205 |
+
"loss": 1.8023,
|
206 |
+
"step": 140
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.013007984210998474,
|
210 |
+
"grad_norm": 9.1875,
|
211 |
+
"learning_rate": 3.4999310444381744e-05,
|
212 |
+
"loss": 1.5551,
|
213 |
+
"step": 145
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.013456535390688078,
|
217 |
+
"grad_norm": 4.6875,
|
218 |
+
"learning_rate": 3.499924573205533e-05,
|
219 |
+
"loss": 1.2654,
|
220 |
+
"step": 150
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.01390508657037768,
|
224 |
+
"grad_norm": 11.9375,
|
225 |
+
"learning_rate": 3.499917811794448e-05,
|
226 |
+
"loss": 1.7612,
|
227 |
+
"step": 155
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.014353637750067283,
|
231 |
+
"grad_norm": 5.21875,
|
232 |
+
"learning_rate": 3.4999107602064155e-05,
|
233 |
+
"loss": 1.5516,
|
234 |
+
"step": 160
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.014802188929756885,
|
238 |
+
"grad_norm": 5.5625,
|
239 |
+
"learning_rate": 3.4999034184429946e-05,
|
240 |
+
"loss": 1.6631,
|
241 |
+
"step": 165
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.015250740109446487,
|
245 |
+
"grad_norm": 6.03125,
|
246 |
+
"learning_rate": 3.4998957865058077e-05,
|
247 |
+
"loss": 1.2633,
|
248 |
+
"step": 170
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.01569929128913609,
|
252 |
+
"grad_norm": 5.375,
|
253 |
+
"learning_rate": 3.4998878643965425e-05,
|
254 |
+
"loss": 1.3481,
|
255 |
+
"step": 175
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.016147842468825693,
|
259 |
+
"grad_norm": 5.84375,
|
260 |
+
"learning_rate": 3.4998796521169516e-05,
|
261 |
+
"loss": 1.5153,
|
262 |
+
"step": 180
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.016596393648515294,
|
266 |
+
"grad_norm": 6.09375,
|
267 |
+
"learning_rate": 3.4998711496688497e-05,
|
268 |
+
"loss": 1.4984,
|
269 |
+
"step": 185
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.0170449448282049,
|
273 |
+
"grad_norm": 5.6875,
|
274 |
+
"learning_rate": 3.4998623570541177e-05,
|
275 |
+
"loss": 1.5425,
|
276 |
+
"step": 190
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.017493496007894502,
|
280 |
+
"grad_norm": 5.53125,
|
281 |
+
"learning_rate": 3.499853274274698e-05,
|
282 |
+
"loss": 1.6314,
|
283 |
+
"step": 195
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.017942047187584104,
|
287 |
+
"grad_norm": 6.0625,
|
288 |
+
"learning_rate": 3.4998439013326e-05,
|
289 |
+
"loss": 1.252,
|
290 |
+
"step": 200
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.018390598367273706,
|
294 |
+
"grad_norm": 4.96875,
|
295 |
+
"learning_rate": 3.499834238229896e-05,
|
296 |
+
"loss": 1.1834,
|
297 |
+
"step": 205
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.018839149546963307,
|
301 |
+
"grad_norm": 3.734375,
|
302 |
+
"learning_rate": 3.499824284968722e-05,
|
303 |
+
"loss": 1.3504,
|
304 |
+
"step": 210
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.019287700726652913,
|
308 |
+
"grad_norm": 9.1875,
|
309 |
+
"learning_rate": 3.499814041551279e-05,
|
310 |
+
"loss": 1.7496,
|
311 |
+
"step": 215
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.019736251906342515,
|
315 |
+
"grad_norm": 10.375,
|
316 |
+
"learning_rate": 3.499803507979832e-05,
|
317 |
+
"loss": 1.8731,
|
318 |
+
"step": 220
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.020184803086032117,
|
322 |
+
"grad_norm": 4.8125,
|
323 |
+
"learning_rate": 3.4997926842567095e-05,
|
324 |
+
"loss": 1.4044,
|
325 |
+
"step": 225
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.02063335426572172,
|
329 |
+
"grad_norm": 7.28125,
|
330 |
+
"learning_rate": 3.499781570384305e-05,
|
331 |
+
"loss": 1.7739,
|
332 |
+
"step": 230
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.02108190544541132,
|
336 |
+
"grad_norm": 4.8125,
|
337 |
+
"learning_rate": 3.499770166365077e-05,
|
338 |
+
"loss": 1.5356,
|
339 |
+
"step": 235
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.021530456625100922,
|
343 |
+
"grad_norm": 5.40625,
|
344 |
+
"learning_rate": 3.499758472201544e-05,
|
345 |
+
"loss": 1.3888,
|
346 |
+
"step": 240
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.021979007804790528,
|
350 |
+
"grad_norm": 4.65625,
|
351 |
+
"learning_rate": 3.4997464878962945e-05,
|
352 |
+
"loss": 1.3103,
|
353 |
+
"step": 245
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.02242755898448013,
|
357 |
+
"grad_norm": 6.28125,
|
358 |
+
"learning_rate": 3.499734213451976e-05,
|
359 |
+
"loss": 1.6716,
|
360 |
+
"step": 250
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.02287611016416973,
|
364 |
+
"grad_norm": 11.375,
|
365 |
+
"learning_rate": 3.499721648871305e-05,
|
366 |
+
"loss": 1.9034,
|
367 |
+
"step": 255
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.023324661343859333,
|
371 |
+
"grad_norm": 5.4375,
|
372 |
+
"learning_rate": 3.499708794157057e-05,
|
373 |
+
"loss": 1.5581,
|
374 |
+
"step": 260
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.023773212523548935,
|
378 |
+
"grad_norm": 5.625,
|
379 |
+
"learning_rate": 3.4996956493120746e-05,
|
380 |
+
"loss": 1.438,
|
381 |
+
"step": 265
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.02422176370323854,
|
385 |
+
"grad_norm": 7.03125,
|
386 |
+
"learning_rate": 3.499682214339265e-05,
|
387 |
+
"loss": 1.6683,
|
388 |
+
"step": 270
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.024670314882928143,
|
392 |
+
"grad_norm": 5.09375,
|
393 |
+
"learning_rate": 3.499668489241599e-05,
|
394 |
+
"loss": 1.2929,
|
395 |
+
"step": 275
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.025118866062617744,
|
399 |
+
"grad_norm": 6.53125,
|
400 |
+
"learning_rate": 3.4996544740221106e-05,
|
401 |
+
"loss": 1.4972,
|
402 |
+
"step": 280
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.025567417242307346,
|
406 |
+
"grad_norm": 5.125,
|
407 |
+
"learning_rate": 3.499640168683898e-05,
|
408 |
+
"loss": 1.2642,
|
409 |
+
"step": 285
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.026015968421996948,
|
413 |
+
"grad_norm": 4.71875,
|
414 |
+
"learning_rate": 3.499625573230125e-05,
|
415 |
+
"loss": 1.481,
|
416 |
+
"step": 290
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.026464519601686554,
|
420 |
+
"grad_norm": 7.0,
|
421 |
+
"learning_rate": 3.499610687664018e-05,
|
422 |
+
"loss": 1.4126,
|
423 |
+
"step": 295
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.026913070781376155,
|
427 |
+
"grad_norm": 4.46875,
|
428 |
+
"learning_rate": 3.499595511988869e-05,
|
429 |
+
"loss": 1.7327,
|
430 |
+
"step": 300
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.027361621961065757,
|
434 |
+
"grad_norm": 4.65625,
|
435 |
+
"learning_rate": 3.499580046208033e-05,
|
436 |
+
"loss": 1.4368,
|
437 |
+
"step": 305
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.02781017314075536,
|
441 |
+
"grad_norm": 4.5625,
|
442 |
+
"learning_rate": 3.49956429032493e-05,
|
443 |
+
"loss": 1.4169,
|
444 |
+
"step": 310
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.02825872432044496,
|
448 |
+
"grad_norm": 6.71875,
|
449 |
+
"learning_rate": 3.4995482443430426e-05,
|
450 |
+
"loss": 1.5973,
|
451 |
+
"step": 315
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.028707275500134567,
|
455 |
+
"grad_norm": 3.453125,
|
456 |
+
"learning_rate": 3.499531908265919e-05,
|
457 |
+
"loss": 1.6349,
|
458 |
+
"step": 320
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.02915582667982417,
|
462 |
+
"grad_norm": 2.65625,
|
463 |
+
"learning_rate": 3.499515282097171e-05,
|
464 |
+
"loss": 1.3379,
|
465 |
+
"step": 325
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.02960437785951377,
|
469 |
+
"grad_norm": 4.46875,
|
470 |
+
"learning_rate": 3.4994983658404754e-05,
|
471 |
+
"loss": 1.5752,
|
472 |
+
"step": 330
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.030052929039203372,
|
476 |
+
"grad_norm": 4.40625,
|
477 |
+
"learning_rate": 3.499481159499572e-05,
|
478 |
+
"loss": 1.3574,
|
479 |
+
"step": 335
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.030501480218892974,
|
483 |
+
"grad_norm": 4.0625,
|
484 |
+
"learning_rate": 3.499463663078264e-05,
|
485 |
+
"loss": 1.4591,
|
486 |
+
"step": 340
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.03095003139858258,
|
490 |
+
"grad_norm": 4.53125,
|
491 |
+
"learning_rate": 3.499445876580422e-05,
|
492 |
+
"loss": 1.5197,
|
493 |
+
"step": 345
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.03139858257827218,
|
497 |
+
"grad_norm": 3.390625,
|
498 |
+
"learning_rate": 3.499427800009977e-05,
|
499 |
+
"loss": 1.3433,
|
500 |
+
"step": 350
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.03184713375796178,
|
504 |
+
"grad_norm": 4.34375,
|
505 |
+
"learning_rate": 3.4994094333709264e-05,
|
506 |
+
"loss": 1.6308,
|
507 |
+
"step": 355
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.032295684937651385,
|
511 |
+
"grad_norm": 8.125,
|
512 |
+
"learning_rate": 3.499390776667331e-05,
|
513 |
+
"loss": 1.5933,
|
514 |
+
"step": 360
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.03274423611734099,
|
518 |
+
"grad_norm": 5.5625,
|
519 |
+
"learning_rate": 3.499371829903316e-05,
|
520 |
+
"loss": 1.4659,
|
521 |
+
"step": 365
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.03319278729703059,
|
525 |
+
"grad_norm": 4.03125,
|
526 |
+
"learning_rate": 3.4993525930830694e-05,
|
527 |
+
"loss": 1.3809,
|
528 |
+
"step": 370
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.03364133847672019,
|
532 |
+
"grad_norm": 5.0,
|
533 |
+
"learning_rate": 3.499333066210846e-05,
|
534 |
+
"loss": 1.4262,
|
535 |
+
"step": 375
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.0340898896564098,
|
539 |
+
"grad_norm": 3.171875,
|
540 |
+
"learning_rate": 3.4993132492909624e-05,
|
541 |
+
"loss": 1.5301,
|
542 |
+
"step": 380
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.0345384408360994,
|
546 |
+
"grad_norm": 5.09375,
|
547 |
+
"learning_rate": 3.499293142327801e-05,
|
548 |
+
"loss": 1.4591,
|
549 |
+
"step": 385
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.034986992015789004,
|
553 |
+
"grad_norm": 3.703125,
|
554 |
+
"learning_rate": 3.499272745325806e-05,
|
555 |
+
"loss": 1.4161,
|
556 |
+
"step": 390
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.035435543195478605,
|
560 |
+
"grad_norm": 5.40625,
|
561 |
+
"learning_rate": 3.4992520582894886e-05,
|
562 |
+
"loss": 1.4047,
|
563 |
+
"step": 395
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.03588409437516821,
|
567 |
+
"grad_norm": 5.1875,
|
568 |
+
"learning_rate": 3.499231081223422e-05,
|
569 |
+
"loss": 1.9751,
|
570 |
+
"step": 400
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.03633264555485781,
|
574 |
+
"grad_norm": 6.5625,
|
575 |
+
"learning_rate": 3.499209814132244e-05,
|
576 |
+
"loss": 1.5034,
|
577 |
+
"step": 405
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.03678119673454741,
|
581 |
+
"grad_norm": 4.96875,
|
582 |
+
"learning_rate": 3.499188257020657e-05,
|
583 |
+
"loss": 1.5578,
|
584 |
+
"step": 410
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.03722974791423701,
|
588 |
+
"grad_norm": 5.875,
|
589 |
+
"learning_rate": 3.499166409893428e-05,
|
590 |
+
"loss": 1.552,
|
591 |
+
"step": 415
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.037678299093926615,
|
595 |
+
"grad_norm": 4.5,
|
596 |
+
"learning_rate": 3.499144272755387e-05,
|
597 |
+
"loss": 1.4408,
|
598 |
+
"step": 420
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 0.03812685027361622,
|
602 |
+
"grad_norm": 4.21875,
|
603 |
+
"learning_rate": 3.499121845611428e-05,
|
604 |
+
"loss": 1.4257,
|
605 |
+
"step": 425
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.038575401453305826,
|
609 |
+
"grad_norm": 5.9375,
|
610 |
+
"learning_rate": 3.49909912846651e-05,
|
611 |
+
"loss": 1.4551,
|
612 |
+
"step": 430
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.03902395263299543,
|
616 |
+
"grad_norm": 2.984375,
|
617 |
+
"learning_rate": 3.499076121325657e-05,
|
618 |
+
"loss": 1.2085,
|
619 |
+
"step": 435
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 0.03947250381268503,
|
623 |
+
"grad_norm": 4.875,
|
624 |
+
"learning_rate": 3.499052824193953e-05,
|
625 |
+
"loss": 1.2269,
|
626 |
+
"step": 440
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.03992105499237463,
|
630 |
+
"grad_norm": 5.1875,
|
631 |
+
"learning_rate": 3.499029237076552e-05,
|
632 |
+
"loss": 1.5631,
|
633 |
+
"step": 445
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.04036960617206423,
|
637 |
+
"grad_norm": 5.28125,
|
638 |
+
"learning_rate": 3.499005359978668e-05,
|
639 |
+
"loss": 1.4777,
|
640 |
+
"step": 450
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 0.040818157351753835,
|
644 |
+
"grad_norm": 4.3125,
|
645 |
+
"learning_rate": 3.49898119290558e-05,
|
646 |
+
"loss": 1.3492,
|
647 |
+
"step": 455
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.04126670853144344,
|
651 |
+
"grad_norm": 3.59375,
|
652 |
+
"learning_rate": 3.4989567358626314e-05,
|
653 |
+
"loss": 1.5453,
|
654 |
+
"step": 460
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.04171525971113304,
|
658 |
+
"grad_norm": 5.0625,
|
659 |
+
"learning_rate": 3.49893198885523e-05,
|
660 |
+
"loss": 1.4498,
|
661 |
+
"step": 465
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 0.04216381089082264,
|
665 |
+
"grad_norm": 3.359375,
|
666 |
+
"learning_rate": 3.498906951888847e-05,
|
667 |
+
"loss": 1.4422,
|
668 |
+
"step": 470
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.04261236207051224,
|
672 |
+
"grad_norm": 3.46875,
|
673 |
+
"learning_rate": 3.4988816249690185e-05,
|
674 |
+
"loss": 1.4364,
|
675 |
+
"step": 475
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.043060913250201845,
|
679 |
+
"grad_norm": 4.125,
|
680 |
+
"learning_rate": 3.498856008101344e-05,
|
681 |
+
"loss": 1.6421,
|
682 |
+
"step": 480
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 0.04350946442989145,
|
686 |
+
"grad_norm": 3.453125,
|
687 |
+
"learning_rate": 3.4988301012914875e-05,
|
688 |
+
"loss": 1.4868,
|
689 |
+
"step": 485
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.043958015609581055,
|
693 |
+
"grad_norm": 3.765625,
|
694 |
+
"learning_rate": 3.498803904545177e-05,
|
695 |
+
"loss": 1.6498,
|
696 |
+
"step": 490
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 0.04440656678927066,
|
700 |
+
"grad_norm": 5.59375,
|
701 |
+
"learning_rate": 3.4987774178682054e-05,
|
702 |
+
"loss": 2.0081,
|
703 |
+
"step": 495
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 0.04485511796896026,
|
707 |
+
"grad_norm": 3.734375,
|
708 |
+
"learning_rate": 3.4987506412664274e-05,
|
709 |
+
"loss": 1.4555,
|
710 |
+
"step": 500
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.04485511796896026,
|
714 |
+
"eval_loss": 2.2115273475646973,
|
715 |
+
"eval_runtime": 14.9781,
|
716 |
+
"eval_samples_per_second": 13.353,
|
717 |
+
"eval_steps_per_second": 13.353,
|
718 |
+
"step": 500
|
719 |
+
}
|
720 |
+
],
|
721 |
+
"logging_steps": 5,
|
722 |
+
"max_steps": 33441,
|
723 |
+
"num_input_tokens_seen": 0,
|
724 |
+
"num_train_epochs": 3,
|
725 |
+
"save_steps": 200.0,
|
726 |
+
"stateful_callbacks": {
|
727 |
+
"TrainerControl": {
|
728 |
+
"args": {
|
729 |
+
"should_epoch_stop": false,
|
730 |
+
"should_evaluate": false,
|
731 |
+
"should_log": false,
|
732 |
+
"should_save": true,
|
733 |
+
"should_training_stop": false
|
734 |
+
},
|
735 |
+
"attributes": {}
|
736 |
+
}
|
737 |
+
},
|
738 |
+
"total_flos": 8.37005101498368e+17,
|
739 |
+
"train_batch_size": 18,
|
740 |
+
"trial_name": null,
|
741 |
+
"trial_params": null
|
742 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:41b27bef746ebe26f427a2e9fa14c7cee16e8bec3918436a330b28f0e0ce706c
|
3 |
+
size 5624
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|