Training in progress, epoch 1
Browse files- .gitattributes +1 -0
- added_tokens.json +24 -0
- config.json +29 -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 +346 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- trainer_log.jsonl +278 -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 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</tool_call>": 151658,
|
3 |
+
"<tool_call>": 151657,
|
4 |
+
"<|box_end|>": 151649,
|
5 |
+
"<|box_start|>": 151648,
|
6 |
+
"<|endoftext|>": 151643,
|
7 |
+
"<|file_sep|>": 151664,
|
8 |
+
"<|fim_middle|>": 151660,
|
9 |
+
"<|fim_pad|>": 151662,
|
10 |
+
"<|fim_prefix|>": 151659,
|
11 |
+
"<|fim_suffix|>": 151661,
|
12 |
+
"<|im_end|>": 151645,
|
13 |
+
"<|im_start|>": 151644,
|
14 |
+
"<|image_pad|>": 151655,
|
15 |
+
"<|object_ref_end|>": 151647,
|
16 |
+
"<|object_ref_start|>": 151646,
|
17 |
+
"<|quad_end|>": 151651,
|
18 |
+
"<|quad_start|>": 151650,
|
19 |
+
"<|repo_name|>": 151663,
|
20 |
+
"<|video_pad|>": 151656,
|
21 |
+
"<|vision_end|>": 151653,
|
22 |
+
"<|vision_pad|>": 151654,
|
23 |
+
"<|vision_start|>": 151652
|
24 |
+
}
|
config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
|
3 |
+
"architectures": [
|
4 |
+
"Qwen2ForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 151643,
|
8 |
+
"eos_token_id": 151645,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 3584,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 18944,
|
13 |
+
"max_position_embeddings": 32768,
|
14 |
+
"max_window_layers": 28,
|
15 |
+
"model_type": "qwen2",
|
16 |
+
"num_attention_heads": 28,
|
17 |
+
"num_hidden_layers": 28,
|
18 |
+
"num_key_value_heads": 4,
|
19 |
+
"rms_norm_eps": 1e-06,
|
20 |
+
"rope_scaling": null,
|
21 |
+
"rope_theta": 1000000.0,
|
22 |
+
"sliding_window": null,
|
23 |
+
"tie_word_embeddings": false,
|
24 |
+
"torch_dtype": "bfloat16",
|
25 |
+
"transformers_version": "4.46.1",
|
26 |
+
"use_cache": false,
|
27 |
+
"use_sliding_window": false,
|
28 |
+
"vocab_size": 152064
|
29 |
+
}
|
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:b7197595a2f8016dfb7ce96ffe737a2145bf39c2a7738413410263fb4ab469ff
|
3 |
+
size 4877660776
|
model-00002-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e5faa5b3d1766c42c72467345d14d48a1e0ca86a141915e8cf1ca924d815ea1
|
3 |
+
size 4932751008
|
model-00003-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0e5708be4c80b33ca0043090ba8fa0c127c9c1169a2d83a7b1e1a1f945b93759
|
3 |
+
size 4330865200
|
model-00004-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fd07b65f14811a8e1a592001a6acce897ac10573709ca3d6fbe11c3df66c6e20
|
3 |
+
size 1089994880
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,346 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 15231233024
|
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_proj.bias": "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_proj.bias": "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.bias": "model-00001-of-00004.safetensors",
|
19 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
20 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
21 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
22 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
23 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
24 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
25 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
26 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
27 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
28 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
29 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
30 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
31 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
32 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
33 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
34 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
35 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
36 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
37 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
38 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
39 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
40 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
41 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
42 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
43 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
44 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
45 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
46 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
47 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
48 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
49 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
50 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
51 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
52 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
53 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
54 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
55 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
56 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
57 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
58 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
59 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
60 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
61 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
62 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
63 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
64 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
65 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
66 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
67 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
68 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
69 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
70 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
71 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
72 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
73 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
74 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
75 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
76 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
77 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
78 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
79 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
80 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
81 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
82 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
83 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
84 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
85 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
86 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
87 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
88 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
89 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
90 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
91 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
92 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
93 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
94 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
95 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
96 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
97 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
98 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
99 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
100 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
101 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
102 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
103 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
104 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
105 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
106 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
107 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
108 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
109 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
110 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
111 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
112 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
113 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
114 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
115 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
116 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
117 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
118 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
119 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
120 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
121 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
122 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
123 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
124 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
125 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
126 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
127 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
128 |
+
"model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
129 |
+
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
130 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
131 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
132 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
133 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
134 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
135 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
136 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
137 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
138 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
139 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
140 |
+
"model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
141 |
+
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
142 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
143 |
+
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
144 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
145 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
146 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
147 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
148 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
149 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
150 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
151 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
152 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
153 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
154 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
155 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
156 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
157 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
158 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
159 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
160 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
161 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
162 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
163 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
164 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
165 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
166 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
167 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
168 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
169 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
170 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
171 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
172 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
173 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
174 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
175 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
176 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
177 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
178 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
179 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
180 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
181 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
182 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
183 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
184 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
185 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
186 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
187 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
188 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
189 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
190 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
191 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
192 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
193 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
194 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
195 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
196 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
197 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
198 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
199 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
200 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
201 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
202 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
203 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
204 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
205 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
206 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
207 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
208 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
209 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
210 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
211 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
212 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
213 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
214 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
215 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
216 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
217 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
218 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
219 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
220 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
221 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
222 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
223 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
224 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
225 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
226 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
227 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
228 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
229 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
230 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
231 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
232 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
233 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
234 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
235 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
236 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
237 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
238 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
239 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
240 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
241 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
242 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
243 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
244 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
245 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
246 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
247 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
248 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
249 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
250 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
251 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
252 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
253 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
254 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
255 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
256 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
257 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
258 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
259 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
260 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
261 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
262 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
263 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
264 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
265 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
266 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
267 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
268 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
269 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
270 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
271 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
272 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
273 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
274 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
275 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
276 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
277 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
278 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
279 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
280 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
281 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
282 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
283 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
284 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
285 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
286 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
287 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
288 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
289 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
290 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
291 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
292 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
293 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
294 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
295 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
296 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
297 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
298 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
299 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
300 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
301 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
302 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
303 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
304 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
305 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
306 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
307 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
308 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
309 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
310 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
311 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
312 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
313 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
314 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
315 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
316 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
317 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
318 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
319 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
320 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
321 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
322 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
323 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
324 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
325 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
326 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
327 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
328 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
329 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
330 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
331 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
332 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
333 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
334 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
335 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
336 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
337 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
338 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
339 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
340 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
341 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
342 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
343 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
344 |
+
"model.norm.weight": "model-00003-of-00004.safetensors"
|
345 |
+
}
|
346 |
+
}
|
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 sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
3 |
+
size 11421896
|
tokenizer_config.json
ADDED
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 |
+
},
|
182 |
+
"additional_special_tokens": [
|
183 |
+
"<|im_start|>",
|
184 |
+
"<|im_end|>",
|
185 |
+
"<|object_ref_start|>",
|
186 |
+
"<|object_ref_end|>",
|
187 |
+
"<|box_start|>",
|
188 |
+
"<|box_end|>",
|
189 |
+
"<|quad_start|>",
|
190 |
+
"<|quad_end|>",
|
191 |
+
"<|vision_start|>",
|
192 |
+
"<|vision_end|>",
|
193 |
+
"<|vision_pad|>",
|
194 |
+
"<|image_pad|>",
|
195 |
+
"<|video_pad|>"
|
196 |
+
],
|
197 |
+
"bos_token": null,
|
198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\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 {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) 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{%- endif %}\n",
|
199 |
+
"clean_up_tokenization_spaces": false,
|
200 |
+
"eos_token": "<|endoftext|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"model_max_length": 131072,
|
203 |
+
"pad_token": "<|endoftext|>",
|
204 |
+
"padding_side": "right",
|
205 |
+
"split_special_tokens": false,
|
206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
207 |
+
"unk_token": null
|
208 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,278 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"current_steps": 1, "total_steps": 1235, "loss": 1.7882, "lr": 3.2258064516129035e-07, "epoch": 0.004048582995951417, "percentage": 0.08, "elapsed_time": "0:00:36", "remaining_time": "12:40:57"}
|
2 |
+
{"current_steps": 2, "total_steps": 1235, "loss": 1.8177, "lr": 6.451612903225807e-07, "epoch": 0.008097165991902834, "percentage": 0.16, "elapsed_time": "0:01:00", "remaining_time": "10:25:50"}
|
3 |
+
{"current_steps": 3, "total_steps": 1235, "loss": 1.7452, "lr": 9.67741935483871e-07, "epoch": 0.012145748987854251, "percentage": 0.24, "elapsed_time": "0:01:24", "remaining_time": "9:37:22"}
|
4 |
+
{"current_steps": 4, "total_steps": 1235, "loss": 1.7709, "lr": 1.2903225806451614e-06, "epoch": 0.016194331983805668, "percentage": 0.32, "elapsed_time": "0:01:47", "remaining_time": "9:09:45"}
|
5 |
+
{"current_steps": 5, "total_steps": 1235, "loss": 1.7516, "lr": 1.6129032258064516e-06, "epoch": 0.020242914979757085, "percentage": 0.4, "elapsed_time": "0:02:11", "remaining_time": "8:57:59"}
|
6 |
+
{"current_steps": 6, "total_steps": 1235, "loss": 1.7573, "lr": 1.935483870967742e-06, "epoch": 0.024291497975708502, "percentage": 0.49, "elapsed_time": "0:02:34", "remaining_time": "8:47:35"}
|
7 |
+
{"current_steps": 7, "total_steps": 1235, "loss": 1.76, "lr": 2.2580645161290324e-06, "epoch": 0.02834008097165992, "percentage": 0.57, "elapsed_time": "0:02:56", "remaining_time": "8:36:50"}
|
8 |
+
{"current_steps": 8, "total_steps": 1235, "loss": 1.7092, "lr": 2.580645161290323e-06, "epoch": 0.032388663967611336, "percentage": 0.65, "elapsed_time": "0:03:20", "remaining_time": "8:32:50"}
|
9 |
+
{"current_steps": 9, "total_steps": 1235, "loss": 1.6827, "lr": 2.903225806451613e-06, "epoch": 0.03643724696356275, "percentage": 0.73, "elapsed_time": "0:03:43", "remaining_time": "8:27:05"}
|
10 |
+
{"current_steps": 10, "total_steps": 1235, "loss": 1.6761, "lr": 3.225806451612903e-06, "epoch": 0.04048582995951417, "percentage": 0.81, "elapsed_time": "0:04:07", "remaining_time": "8:26:05"}
|
11 |
+
{"current_steps": 11, "total_steps": 1235, "loss": 1.6437, "lr": 3.548387096774194e-06, "epoch": 0.044534412955465584, "percentage": 0.89, "elapsed_time": "0:04:30", "remaining_time": "8:21:42"}
|
12 |
+
{"current_steps": 12, "total_steps": 1235, "loss": 1.6822, "lr": 3.870967741935484e-06, "epoch": 0.048582995951417005, "percentage": 0.97, "elapsed_time": "0:04:54", "remaining_time": "8:20:26"}
|
13 |
+
{"current_steps": 13, "total_steps": 1235, "loss": 1.6668, "lr": 4.193548387096774e-06, "epoch": 0.05263157894736842, "percentage": 1.05, "elapsed_time": "0:05:18", "remaining_time": "8:18:50"}
|
14 |
+
{"current_steps": 14, "total_steps": 1235, "loss": 1.6956, "lr": 4.516129032258065e-06, "epoch": 0.05668016194331984, "percentage": 1.13, "elapsed_time": "0:05:40", "remaining_time": "8:15:08"}
|
15 |
+
{"current_steps": 15, "total_steps": 1235, "loss": 1.7012, "lr": 4.838709677419355e-06, "epoch": 0.06072874493927125, "percentage": 1.21, "elapsed_time": "0:06:04", "remaining_time": "8:14:20"}
|
16 |
+
{"current_steps": 16, "total_steps": 1235, "loss": 1.6209, "lr": 5.161290322580646e-06, "epoch": 0.06477732793522267, "percentage": 1.3, "elapsed_time": "0:06:27", "remaining_time": "8:12:14"}
|
17 |
+
{"current_steps": 17, "total_steps": 1235, "loss": 1.5581, "lr": 5.483870967741935e-06, "epoch": 0.06882591093117409, "percentage": 1.38, "elapsed_time": "0:06:50", "remaining_time": "8:10:27"}
|
18 |
+
{"current_steps": 18, "total_steps": 1235, "loss": 1.6139, "lr": 5.806451612903226e-06, "epoch": 0.0728744939271255, "percentage": 1.46, "elapsed_time": "0:07:13", "remaining_time": "8:08:37"}
|
19 |
+
{"current_steps": 19, "total_steps": 1235, "loss": 1.5315, "lr": 6.129032258064517e-06, "epoch": 0.07692307692307693, "percentage": 1.54, "elapsed_time": "0:07:37", "remaining_time": "8:07:48"}
|
20 |
+
{"current_steps": 20, "total_steps": 1235, "loss": 1.5469, "lr": 6.451612903225806e-06, "epoch": 0.08097165991902834, "percentage": 1.62, "elapsed_time": "0:08:00", "remaining_time": "8:06:21"}
|
21 |
+
{"current_steps": 21, "total_steps": 1235, "loss": 1.4969, "lr": 6.774193548387097e-06, "epoch": 0.08502024291497975, "percentage": 1.7, "elapsed_time": "0:08:24", "remaining_time": "8:06:13"}
|
22 |
+
{"current_steps": 22, "total_steps": 1235, "loss": 1.5271, "lr": 7.096774193548388e-06, "epoch": 0.08906882591093117, "percentage": 1.78, "elapsed_time": "0:08:48", "remaining_time": "8:05:16"}
|
23 |
+
{"current_steps": 23, "total_steps": 1235, "loss": 1.5181, "lr": 7.4193548387096784e-06, "epoch": 0.0931174089068826, "percentage": 1.86, "elapsed_time": "0:09:11", "remaining_time": "8:04:42"}
|
24 |
+
{"current_steps": 24, "total_steps": 1235, "loss": 1.4662, "lr": 7.741935483870968e-06, "epoch": 0.09716599190283401, "percentage": 1.94, "elapsed_time": "0:09:34", "remaining_time": "8:03:23"}
|
25 |
+
{"current_steps": 25, "total_steps": 1235, "loss": 1.4557, "lr": 8.064516129032258e-06, "epoch": 0.10121457489878542, "percentage": 2.02, "elapsed_time": "0:09:57", "remaining_time": "8:02:03"}
|
26 |
+
{"current_steps": 26, "total_steps": 1235, "loss": 1.4793, "lr": 8.387096774193549e-06, "epoch": 0.10526315789473684, "percentage": 2.11, "elapsed_time": "0:10:21", "remaining_time": "8:01:17"}
|
27 |
+
{"current_steps": 1, "total_steps": 1235, "loss": 1.7882, "lr": 3.2258064516129035e-07, "epoch": 0.004048582995951417, "percentage": 0.08, "elapsed_time": "0:00:36", "remaining_time": "12:32:59"}
|
28 |
+
{"current_steps": 2, "total_steps": 1235, "loss": 1.8177, "lr": 6.451612903225807e-07, "epoch": 0.008097165991902834, "percentage": 0.16, "elapsed_time": "0:01:00", "remaining_time": "10:21:40"}
|
29 |
+
{"current_steps": 3, "total_steps": 1235, "loss": 1.7453, "lr": 9.67741935483871e-07, "epoch": 0.012145748987854251, "percentage": 0.24, "elapsed_time": "0:01:24", "remaining_time": "9:35:43"}
|
30 |
+
{"current_steps": 4, "total_steps": 1235, "loss": 1.7712, "lr": 1.2903225806451614e-06, "epoch": 0.016194331983805668, "percentage": 0.32, "elapsed_time": "0:01:46", "remaining_time": "9:08:28"}
|
31 |
+
{"current_steps": 5, "total_steps": 1235, "loss": 1.7519, "lr": 1.6129032258064516e-06, "epoch": 0.020242914979757085, "percentage": 0.4, "elapsed_time": "0:02:11", "remaining_time": "8:57:48"}
|
32 |
+
{"current_steps": 6, "total_steps": 1235, "loss": 1.7574, "lr": 1.935483870967742e-06, "epoch": 0.024291497975708502, "percentage": 0.49, "elapsed_time": "0:02:34", "remaining_time": "8:47:24"}
|
33 |
+
{"current_steps": 7, "total_steps": 1235, "loss": 1.7601, "lr": 2.2580645161290324e-06, "epoch": 0.02834008097165992, "percentage": 0.57, "elapsed_time": "0:02:56", "remaining_time": "8:36:31"}
|
34 |
+
{"current_steps": 8, "total_steps": 1235, "loss": 1.7091, "lr": 2.580645161290323e-06, "epoch": 0.032388663967611336, "percentage": 0.65, "elapsed_time": "0:03:20", "remaining_time": "8:32:33"}
|
35 |
+
{"current_steps": 9, "total_steps": 1235, "loss": 1.6825, "lr": 2.903225806451613e-06, "epoch": 0.03643724696356275, "percentage": 0.73, "elapsed_time": "0:03:43", "remaining_time": "8:26:56"}
|
36 |
+
{"current_steps": 10, "total_steps": 1235, "loss": 1.6761, "lr": 3.225806451612903e-06, "epoch": 0.04048582995951417, "percentage": 0.81, "elapsed_time": "0:04:07", "remaining_time": "8:26:01"}
|
37 |
+
{"current_steps": 11, "total_steps": 1235, "loss": 1.6437, "lr": 3.548387096774194e-06, "epoch": 0.044534412955465584, "percentage": 0.89, "elapsed_time": "0:04:30", "remaining_time": "8:21:39"}
|
38 |
+
{"current_steps": 12, "total_steps": 1235, "loss": 1.6821, "lr": 3.870967741935484e-06, "epoch": 0.048582995951417005, "percentage": 0.97, "elapsed_time": "0:04:54", "remaining_time": "8:20:21"}
|
39 |
+
{"current_steps": 13, "total_steps": 1235, "loss": 1.6667, "lr": 4.193548387096774e-06, "epoch": 0.05263157894736842, "percentage": 1.05, "elapsed_time": "0:05:18", "remaining_time": "8:18:48"}
|
40 |
+
{"current_steps": 14, "total_steps": 1235, "loss": 1.6958, "lr": 4.516129032258065e-06, "epoch": 0.05668016194331984, "percentage": 1.13, "elapsed_time": "0:05:40", "remaining_time": "8:15:04"}
|
41 |
+
{"current_steps": 15, "total_steps": 1235, "loss": 1.7011, "lr": 4.838709677419355e-06, "epoch": 0.06072874493927125, "percentage": 1.21, "elapsed_time": "0:06:04", "remaining_time": "8:14:00"}
|
42 |
+
{"current_steps": 16, "total_steps": 1235, "loss": 1.621, "lr": 5.161290322580646e-06, "epoch": 0.06477732793522267, "percentage": 1.3, "elapsed_time": "0:06:27", "remaining_time": "8:11:52"}
|
43 |
+
{"current_steps": 17, "total_steps": 1235, "loss": 1.5583, "lr": 5.483870967741935e-06, "epoch": 0.06882591093117409, "percentage": 1.38, "elapsed_time": "0:06:50", "remaining_time": "8:10:04"}
|
44 |
+
{"current_steps": 18, "total_steps": 1235, "loss": 1.6141, "lr": 5.806451612903226e-06, "epoch": 0.0728744939271255, "percentage": 1.46, "elapsed_time": "0:07:13", "remaining_time": "8:08:14"}
|
45 |
+
{"current_steps": 19, "total_steps": 1235, "loss": 1.5316, "lr": 6.129032258064517e-06, "epoch": 0.07692307692307693, "percentage": 1.54, "elapsed_time": "0:07:36", "remaining_time": "8:07:27"}
|
46 |
+
{"current_steps": 20, "total_steps": 1235, "loss": 1.5469, "lr": 6.451612903225806e-06, "epoch": 0.08097165991902834, "percentage": 1.62, "elapsed_time": "0:08:00", "remaining_time": "8:06:01"}
|
47 |
+
{"current_steps": 21, "total_steps": 1235, "loss": 1.497, "lr": 6.774193548387097e-06, "epoch": 0.08502024291497975, "percentage": 1.7, "elapsed_time": "0:08:24", "remaining_time": "8:06:06"}
|
48 |
+
{"current_steps": 22, "total_steps": 1235, "loss": 1.5272, "lr": 7.096774193548388e-06, "epoch": 0.08906882591093117, "percentage": 1.78, "elapsed_time": "0:08:47", "remaining_time": "8:05:10"}
|
49 |
+
{"current_steps": 23, "total_steps": 1235, "loss": 1.5181, "lr": 7.4193548387096784e-06, "epoch": 0.0931174089068826, "percentage": 1.86, "elapsed_time": "0:09:11", "remaining_time": "8:04:36"}
|
50 |
+
{"current_steps": 24, "total_steps": 1235, "loss": 1.4663, "lr": 7.741935483870968e-06, "epoch": 0.09716599190283401, "percentage": 1.94, "elapsed_time": "0:09:34", "remaining_time": "8:03:13"}
|
51 |
+
{"current_steps": 25, "total_steps": 1235, "loss": 1.4558, "lr": 8.064516129032258e-06, "epoch": 0.10121457489878542, "percentage": 2.02, "elapsed_time": "0:09:57", "remaining_time": "8:01:50"}
|
52 |
+
{"current_steps": 26, "total_steps": 1235, "loss": 1.4793, "lr": 8.387096774193549e-06, "epoch": 0.10526315789473684, "percentage": 2.11, "elapsed_time": "0:10:20", "remaining_time": "8:01:07"}
|
53 |
+
{"current_steps": 27, "total_steps": 1235, "loss": 1.4837, "lr": 8.70967741935484e-06, "epoch": 0.10931174089068826, "percentage": 2.19, "elapsed_time": "0:10:44", "remaining_time": "8:00:15"}
|
54 |
+
{"current_steps": 28, "total_steps": 1235, "loss": 1.5034, "lr": 9.03225806451613e-06, "epoch": 0.11336032388663968, "percentage": 2.27, "elapsed_time": "0:11:07", "remaining_time": "7:59:50"}
|
55 |
+
{"current_steps": 29, "total_steps": 1235, "loss": 1.4512, "lr": 9.35483870967742e-06, "epoch": 0.11740890688259109, "percentage": 2.35, "elapsed_time": "0:11:31", "remaining_time": "7:59:18"}
|
56 |
+
{"current_steps": 30, "total_steps": 1235, "loss": 1.459, "lr": 9.67741935483871e-06, "epoch": 0.1214574898785425, "percentage": 2.43, "elapsed_time": "0:11:54", "remaining_time": "7:58:06"}
|
57 |
+
{"current_steps": 31, "total_steps": 1235, "loss": 1.4308, "lr": 1e-05, "epoch": 0.12550607287449392, "percentage": 2.51, "elapsed_time": "0:12:18", "remaining_time": "7:57:46"}
|
58 |
+
{"current_steps": 32, "total_steps": 1235, "loss": 1.433, "lr": 1.0322580645161291e-05, "epoch": 0.12955465587044535, "percentage": 2.59, "elapsed_time": "0:12:40", "remaining_time": "7:56:46"}
|
59 |
+
{"current_steps": 33, "total_steps": 1235, "loss": 1.4153, "lr": 1.0645161290322582e-05, "epoch": 0.13360323886639677, "percentage": 2.67, "elapsed_time": "0:13:04", "remaining_time": "7:56:01"}
|
60 |
+
{"current_steps": 34, "total_steps": 1235, "loss": 1.3926, "lr": 1.096774193548387e-05, "epoch": 0.13765182186234817, "percentage": 2.75, "elapsed_time": "0:13:27", "remaining_time": "7:55:29"}
|
61 |
+
{"current_steps": 35, "total_steps": 1235, "loss": 1.4124, "lr": 1.1290322580645164e-05, "epoch": 0.1417004048582996, "percentage": 2.83, "elapsed_time": "0:13:50", "remaining_time": "7:54:20"}
|
62 |
+
{"current_steps": 36, "total_steps": 1235, "loss": 1.4153, "lr": 1.1612903225806453e-05, "epoch": 0.145748987854251, "percentage": 2.91, "elapsed_time": "0:14:13", "remaining_time": "7:53:46"}
|
63 |
+
{"current_steps": 37, "total_steps": 1235, "loss": 1.3835, "lr": 1.1935483870967743e-05, "epoch": 0.14979757085020243, "percentage": 3.0, "elapsed_time": "0:14:37", "remaining_time": "7:53:26"}
|
64 |
+
{"current_steps": 38, "total_steps": 1235, "loss": 1.4063, "lr": 1.2258064516129034e-05, "epoch": 0.15384615384615385, "percentage": 3.08, "elapsed_time": "0:15:00", "remaining_time": "7:52:31"}
|
65 |
+
{"current_steps": 39, "total_steps": 1235, "loss": 1.411, "lr": 1.2580645161290324e-05, "epoch": 0.15789473684210525, "percentage": 3.16, "elapsed_time": "0:15:23", "remaining_time": "7:51:57"}
|
66 |
+
{"current_steps": 40, "total_steps": 1235, "loss": 1.3985, "lr": 1.2903225806451613e-05, "epoch": 0.16194331983805668, "percentage": 3.24, "elapsed_time": "0:15:45", "remaining_time": "7:50:49"}
|
67 |
+
{"current_steps": 41, "total_steps": 1235, "loss": 1.4099, "lr": 1.3225806451612903e-05, "epoch": 0.1659919028340081, "percentage": 3.32, "elapsed_time": "0:16:08", "remaining_time": "7:50:10"}
|
68 |
+
{"current_steps": 42, "total_steps": 1235, "loss": 1.4057, "lr": 1.3548387096774194e-05, "epoch": 0.1700404858299595, "percentage": 3.4, "elapsed_time": "0:16:32", "remaining_time": "7:49:40"}
|
69 |
+
{"current_steps": 43, "total_steps": 1235, "loss": 1.3851, "lr": 1.3870967741935486e-05, "epoch": 0.17408906882591094, "percentage": 3.48, "elapsed_time": "0:16:55", "remaining_time": "7:49:04"}
|
70 |
+
{"current_steps": 44, "total_steps": 1235, "loss": 1.3903, "lr": 1.4193548387096776e-05, "epoch": 0.17813765182186234, "percentage": 3.56, "elapsed_time": "0:17:17", "remaining_time": "7:48:07"}
|
71 |
+
{"current_steps": 45, "total_steps": 1235, "loss": 1.3557, "lr": 1.4516129032258066e-05, "epoch": 0.18218623481781376, "percentage": 3.64, "elapsed_time": "0:17:41", "remaining_time": "7:47:42"}
|
72 |
+
{"current_steps": 46, "total_steps": 1235, "loss": 1.397, "lr": 1.4838709677419357e-05, "epoch": 0.1862348178137652, "percentage": 3.72, "elapsed_time": "0:18:04", "remaining_time": "7:47:21"}
|
73 |
+
{"current_steps": 47, "total_steps": 1235, "loss": 1.3559, "lr": 1.5161290322580646e-05, "epoch": 0.1902834008097166, "percentage": 3.81, "elapsed_time": "0:18:28", "remaining_time": "7:46:54"}
|
74 |
+
{"current_steps": 48, "total_steps": 1235, "loss": 1.3777, "lr": 1.5483870967741936e-05, "epoch": 0.19433198380566802, "percentage": 3.89, "elapsed_time": "0:18:51", "remaining_time": "7:46:31"}
|
75 |
+
{"current_steps": 49, "total_steps": 1235, "loss": 1.3664, "lr": 1.5806451612903226e-05, "epoch": 0.19838056680161945, "percentage": 3.97, "elapsed_time": "0:19:15", "remaining_time": "7:46:17"}
|
76 |
+
{"current_steps": 50, "total_steps": 1235, "loss": 1.3516, "lr": 1.6129032258064517e-05, "epoch": 0.20242914979757085, "percentage": 4.05, "elapsed_time": "0:19:39", "remaining_time": "7:45:54"}
|
77 |
+
{"current_steps": 51, "total_steps": 1235, "loss": 1.3488, "lr": 1.6451612903225807e-05, "epoch": 0.20647773279352227, "percentage": 4.13, "elapsed_time": "0:20:03", "remaining_time": "7:45:29"}
|
78 |
+
{"current_steps": 52, "total_steps": 1235, "loss": 1.3499, "lr": 1.6774193548387098e-05, "epoch": 0.21052631578947367, "percentage": 4.21, "elapsed_time": "0:20:25", "remaining_time": "7:44:47"}
|
79 |
+
{"current_steps": 53, "total_steps": 1235, "loss": 1.3626, "lr": 1.7096774193548388e-05, "epoch": 0.2145748987854251, "percentage": 4.29, "elapsed_time": "0:20:48", "remaining_time": "7:44:13"}
|
80 |
+
{"current_steps": 54, "total_steps": 1235, "loss": 1.3502, "lr": 1.741935483870968e-05, "epoch": 0.21862348178137653, "percentage": 4.37, "elapsed_time": "0:21:12", "remaining_time": "7:43:58"}
|
81 |
+
{"current_steps": 55, "total_steps": 1235, "loss": 1.3665, "lr": 1.774193548387097e-05, "epoch": 0.22267206477732793, "percentage": 4.45, "elapsed_time": "0:21:36", "remaining_time": "7:43:37"}
|
82 |
+
{"current_steps": 56, "total_steps": 1235, "loss": 1.3316, "lr": 1.806451612903226e-05, "epoch": 0.22672064777327935, "percentage": 4.53, "elapsed_time": "0:21:59", "remaining_time": "7:42:58"}
|
83 |
+
{"current_steps": 57, "total_steps": 1235, "loss": 1.3477, "lr": 1.838709677419355e-05, "epoch": 0.23076923076923078, "percentage": 4.62, "elapsed_time": "0:22:21", "remaining_time": "7:42:07"}
|
84 |
+
{"current_steps": 58, "total_steps": 1235, "loss": 1.3493, "lr": 1.870967741935484e-05, "epoch": 0.23481781376518218, "percentage": 4.7, "elapsed_time": "0:22:45", "remaining_time": "7:41:51"}
|
85 |
+
{"current_steps": 59, "total_steps": 1235, "loss": 1.3261, "lr": 1.903225806451613e-05, "epoch": 0.2388663967611336, "percentage": 4.78, "elapsed_time": "0:23:08", "remaining_time": "7:41:06"}
|
86 |
+
{"current_steps": 60, "total_steps": 1235, "loss": 1.2952, "lr": 1.935483870967742e-05, "epoch": 0.242914979757085, "percentage": 4.86, "elapsed_time": "0:23:31", "remaining_time": "7:40:32"}
|
87 |
+
{"current_steps": 61, "total_steps": 1235, "loss": 1.3163, "lr": 1.967741935483871e-05, "epoch": 0.24696356275303644, "percentage": 4.94, "elapsed_time": "0:23:55", "remaining_time": "7:40:19"}
|
88 |
+
{"current_steps": 62, "total_steps": 1235, "loss": 1.3568, "lr": 2e-05, "epoch": 0.25101214574898784, "percentage": 5.02, "elapsed_time": "0:24:19", "remaining_time": "7:40:05"}
|
89 |
+
{"current_steps": 63, "total_steps": 1235, "loss": 1.3416, "lr": 2.0322580645161292e-05, "epoch": 0.2550607287449393, "percentage": 5.1, "elapsed_time": "0:24:42", "remaining_time": "7:39:37"}
|
90 |
+
{"current_steps": 64, "total_steps": 1235, "loss": 1.3329, "lr": 2.0645161290322582e-05, "epoch": 0.2591093117408907, "percentage": 5.18, "elapsed_time": "0:25:04", "remaining_time": "7:38:53"}
|
91 |
+
{"current_steps": 65, "total_steps": 1235, "loss": 1.3284, "lr": 2.0967741935483873e-05, "epoch": 0.2631578947368421, "percentage": 5.26, "elapsed_time": "0:25:28", "remaining_time": "7:38:39"}
|
92 |
+
{"current_steps": 66, "total_steps": 1235, "loss": 1.342, "lr": 2.1290322580645163e-05, "epoch": 0.26720647773279355, "percentage": 5.34, "elapsed_time": "0:25:51", "remaining_time": "7:37:56"}
|
93 |
+
{"current_steps": 67, "total_steps": 1235, "loss": 1.2941, "lr": 2.161290322580645e-05, "epoch": 0.27125506072874495, "percentage": 5.43, "elapsed_time": "0:26:14", "remaining_time": "7:37:34"}
|
94 |
+
{"current_steps": 68, "total_steps": 1235, "loss": 1.3721, "lr": 2.193548387096774e-05, "epoch": 0.27530364372469635, "percentage": 5.51, "elapsed_time": "0:26:37", "remaining_time": "7:37:01"}
|
95 |
+
{"current_steps": 69, "total_steps": 1235, "loss": 1.3274, "lr": 2.225806451612903e-05, "epoch": 0.2793522267206478, "percentage": 5.59, "elapsed_time": "0:27:01", "remaining_time": "7:36:35"}
|
96 |
+
{"current_steps": 70, "total_steps": 1235, "loss": 1.3682, "lr": 2.2580645161290328e-05, "epoch": 0.2834008097165992, "percentage": 5.67, "elapsed_time": "0:27:25", "remaining_time": "7:36:19"}
|
97 |
+
{"current_steps": 71, "total_steps": 1235, "loss": 1.346, "lr": 2.2903225806451615e-05, "epoch": 0.2874493927125506, "percentage": 5.75, "elapsed_time": "0:27:47", "remaining_time": "7:35:38"}
|
98 |
+
{"current_steps": 72, "total_steps": 1235, "loss": 1.3425, "lr": 2.3225806451612906e-05, "epoch": 0.291497975708502, "percentage": 5.83, "elapsed_time": "0:28:10", "remaining_time": "7:35:13"}
|
99 |
+
{"current_steps": 73, "total_steps": 1235, "loss": 1.2938, "lr": 2.3548387096774196e-05, "epoch": 0.29554655870445345, "percentage": 5.91, "elapsed_time": "0:28:34", "remaining_time": "7:34:51"}
|
100 |
+
{"current_steps": 74, "total_steps": 1235, "loss": 1.3278, "lr": 2.3870967741935486e-05, "epoch": 0.29959514170040485, "percentage": 5.99, "elapsed_time": "0:28:57", "remaining_time": "7:34:19"}
|
101 |
+
{"current_steps": 75, "total_steps": 1235, "loss": 1.3094, "lr": 2.4193548387096777e-05, "epoch": 0.30364372469635625, "percentage": 6.07, "elapsed_time": "0:29:19", "remaining_time": "7:33:39"}
|
102 |
+
{"current_steps": 76, "total_steps": 1235, "loss": 1.3436, "lr": 2.4516129032258067e-05, "epoch": 0.3076923076923077, "percentage": 6.15, "elapsed_time": "0:29:43", "remaining_time": "7:33:20"}
|
103 |
+
{"current_steps": 77, "total_steps": 1235, "loss": 1.3032, "lr": 2.4838709677419358e-05, "epoch": 0.3117408906882591, "percentage": 6.23, "elapsed_time": "0:30:06", "remaining_time": "7:32:42"}
|
104 |
+
{"current_steps": 78, "total_steps": 1235, "loss": 1.2915, "lr": 2.5161290322580648e-05, "epoch": 0.3157894736842105, "percentage": 6.32, "elapsed_time": "0:30:29", "remaining_time": "7:32:24"}
|
105 |
+
{"current_steps": 79, "total_steps": 1235, "loss": 1.3253, "lr": 2.548387096774194e-05, "epoch": 0.31983805668016196, "percentage": 6.4, "elapsed_time": "0:30:53", "remaining_time": "7:32:09"}
|
106 |
+
{"current_steps": 80, "total_steps": 1235, "loss": 1.3246, "lr": 2.5806451612903226e-05, "epoch": 0.32388663967611336, "percentage": 6.48, "elapsed_time": "0:31:17", "remaining_time": "7:31:43"}
|
107 |
+
{"current_steps": 81, "total_steps": 1235, "loss": 1.3558, "lr": 2.6129032258064516e-05, "epoch": 0.32793522267206476, "percentage": 6.56, "elapsed_time": "0:31:40", "remaining_time": "7:31:20"}
|
108 |
+
{"current_steps": 82, "total_steps": 1235, "loss": 1.3251, "lr": 2.6451612903225806e-05, "epoch": 0.3319838056680162, "percentage": 6.64, "elapsed_time": "0:32:04", "remaining_time": "7:30:58"}
|
109 |
+
{"current_steps": 83, "total_steps": 1235, "loss": 1.3233, "lr": 2.6774193548387097e-05, "epoch": 0.3360323886639676, "percentage": 6.72, "elapsed_time": "0:32:27", "remaining_time": "7:30:32"}
|
110 |
+
{"current_steps": 84, "total_steps": 1235, "loss": 1.3157, "lr": 2.7096774193548387e-05, "epoch": 0.340080971659919, "percentage": 6.8, "elapsed_time": "0:32:50", "remaining_time": "7:30:01"}
|
111 |
+
{"current_steps": 85, "total_steps": 1235, "loss": 1.3094, "lr": 2.7419354838709678e-05, "epoch": 0.3441295546558704, "percentage": 6.88, "elapsed_time": "0:33:13", "remaining_time": "7:29:31"}
|
112 |
+
{"current_steps": 86, "total_steps": 1235, "loss": 1.3321, "lr": 2.774193548387097e-05, "epoch": 0.3481781376518219, "percentage": 6.96, "elapsed_time": "0:33:36", "remaining_time": "7:29:01"}
|
113 |
+
{"current_steps": 87, "total_steps": 1235, "loss": 1.3484, "lr": 2.8064516129032262e-05, "epoch": 0.3522267206477733, "percentage": 7.04, "elapsed_time": "0:34:00", "remaining_time": "7:28:43"}
|
114 |
+
{"current_steps": 88, "total_steps": 1235, "loss": 1.3237, "lr": 2.8387096774193552e-05, "epoch": 0.3562753036437247, "percentage": 7.13, "elapsed_time": "0:34:24", "remaining_time": "7:28:23"}
|
115 |
+
{"current_steps": 89, "total_steps": 1235, "loss": 1.3084, "lr": 2.8709677419354843e-05, "epoch": 0.3603238866396761, "percentage": 7.21, "elapsed_time": "0:34:48", "remaining_time": "7:28:06"}
|
116 |
+
{"current_steps": 90, "total_steps": 1235, "loss": 1.3132, "lr": 2.9032258064516133e-05, "epoch": 0.3643724696356275, "percentage": 7.29, "elapsed_time": "0:35:10", "remaining_time": "7:27:32"}
|
117 |
+
{"current_steps": 91, "total_steps": 1235, "loss": 1.3302, "lr": 2.9354838709677423e-05, "epoch": 0.3684210526315789, "percentage": 7.37, "elapsed_time": "0:35:34", "remaining_time": "7:27:15"}
|
118 |
+
{"current_steps": 92, "total_steps": 1235, "loss": 1.3484, "lr": 2.9677419354838714e-05, "epoch": 0.3724696356275304, "percentage": 7.45, "elapsed_time": "0:35:57", "remaining_time": "7:26:49"}
|
119 |
+
{"current_steps": 93, "total_steps": 1235, "loss": 1.333, "lr": 3.0000000000000004e-05, "epoch": 0.3765182186234818, "percentage": 7.53, "elapsed_time": "0:36:21", "remaining_time": "7:26:28"}
|
120 |
+
{"current_steps": 94, "total_steps": 1235, "loss": 1.3032, "lr": 3.032258064516129e-05, "epoch": 0.3805668016194332, "percentage": 7.61, "elapsed_time": "0:36:44", "remaining_time": "7:25:55"}
|
121 |
+
{"current_steps": 95, "total_steps": 1235, "loss": 1.3104, "lr": 3.0645161290322585e-05, "epoch": 0.38461538461538464, "percentage": 7.69, "elapsed_time": "0:37:07", "remaining_time": "7:25:29"}
|
122 |
+
{"current_steps": 96, "total_steps": 1235, "loss": 1.3192, "lr": 3.096774193548387e-05, "epoch": 0.38866396761133604, "percentage": 7.77, "elapsed_time": "0:37:29", "remaining_time": "7:24:53"}
|
123 |
+
{"current_steps": 97, "total_steps": 1235, "loss": 1.3111, "lr": 3.1290322580645166e-05, "epoch": 0.39271255060728744, "percentage": 7.85, "elapsed_time": "0:37:53", "remaining_time": "7:24:30"}
|
124 |
+
{"current_steps": 98, "total_steps": 1235, "loss": 1.3165, "lr": 3.161290322580645e-05, "epoch": 0.3967611336032389, "percentage": 7.94, "elapsed_time": "0:38:16", "remaining_time": "7:24:09"}
|
125 |
+
{"current_steps": 99, "total_steps": 1235, "loss": 1.327, "lr": 3.193548387096774e-05, "epoch": 0.4008097165991903, "percentage": 8.02, "elapsed_time": "0:38:41", "remaining_time": "7:23:58"}
|
126 |
+
{"current_steps": 100, "total_steps": 1235, "loss": 1.2922, "lr": 3.2258064516129034e-05, "epoch": 0.4048582995951417, "percentage": 8.1, "elapsed_time": "0:39:04", "remaining_time": "7:23:24"}
|
127 |
+
{"current_steps": 101, "total_steps": 1235, "loss": 1.329, "lr": 3.258064516129033e-05, "epoch": 0.4089068825910931, "percentage": 8.18, "elapsed_time": "0:39:27", "remaining_time": "7:22:58"}
|
128 |
+
{"current_steps": 102, "total_steps": 1235, "loss": 1.3003, "lr": 3.2903225806451614e-05, "epoch": 0.41295546558704455, "percentage": 8.26, "elapsed_time": "0:39:50", "remaining_time": "7:22:34"}
|
129 |
+
{"current_steps": 103, "total_steps": 1235, "loss": 1.347, "lr": 3.322580645161291e-05, "epoch": 0.41700404858299595, "percentage": 8.34, "elapsed_time": "0:40:13", "remaining_time": "7:22:04"}
|
130 |
+
{"current_steps": 104, "total_steps": 1235, "loss": 1.3434, "lr": 3.3548387096774195e-05, "epoch": 0.42105263157894735, "percentage": 8.42, "elapsed_time": "0:40:36", "remaining_time": "7:21:41"}
|
131 |
+
{"current_steps": 105, "total_steps": 1235, "loss": 1.3136, "lr": 3.387096774193549e-05, "epoch": 0.4251012145748988, "percentage": 8.5, "elapsed_time": "0:40:58", "remaining_time": "7:20:54"}
|
132 |
+
{"current_steps": 106, "total_steps": 1235, "loss": 1.318, "lr": 3.4193548387096776e-05, "epoch": 0.4291497975708502, "percentage": 8.58, "elapsed_time": "0:41:20", "remaining_time": "7:20:15"}
|
133 |
+
{"current_steps": 107, "total_steps": 1235, "loss": 1.2895, "lr": 3.451612903225807e-05, "epoch": 0.4331983805668016, "percentage": 8.66, "elapsed_time": "0:41:44", "remaining_time": "7:20:01"}
|
134 |
+
{"current_steps": 108, "total_steps": 1235, "loss": 1.3101, "lr": 3.483870967741936e-05, "epoch": 0.43724696356275305, "percentage": 8.74, "elapsed_time": "0:42:07", "remaining_time": "7:19:32"}
|
135 |
+
{"current_steps": 109, "total_steps": 1235, "loss": 1.3045, "lr": 3.516129032258065e-05, "epoch": 0.44129554655870445, "percentage": 8.83, "elapsed_time": "0:42:30", "remaining_time": "7:19:10"}
|
136 |
+
{"current_steps": 110, "total_steps": 1235, "loss": 1.3036, "lr": 3.548387096774194e-05, "epoch": 0.44534412955465585, "percentage": 8.91, "elapsed_time": "0:42:54", "remaining_time": "7:18:53"}
|
137 |
+
{"current_steps": 111, "total_steps": 1235, "loss": 1.2881, "lr": 3.5806451612903225e-05, "epoch": 0.4493927125506073, "percentage": 8.99, "elapsed_time": "0:43:17", "remaining_time": "7:18:21"}
|
138 |
+
{"current_steps": 112, "total_steps": 1235, "loss": 1.3207, "lr": 3.612903225806452e-05, "epoch": 0.4534412955465587, "percentage": 9.07, "elapsed_time": "0:43:40", "remaining_time": "7:17:51"}
|
139 |
+
{"current_steps": 113, "total_steps": 1235, "loss": 1.3256, "lr": 3.6451612903225805e-05, "epoch": 0.4574898785425101, "percentage": 9.15, "elapsed_time": "0:44:04", "remaining_time": "7:17:33"}
|
140 |
+
{"current_steps": 114, "total_steps": 1235, "loss": 1.3055, "lr": 3.67741935483871e-05, "epoch": 0.46153846153846156, "percentage": 9.23, "elapsed_time": "0:44:27", "remaining_time": "7:17:09"}
|
141 |
+
{"current_steps": 115, "total_steps": 1235, "loss": 1.3082, "lr": 3.7096774193548386e-05, "epoch": 0.46558704453441296, "percentage": 9.31, "elapsed_time": "0:44:50", "remaining_time": "7:16:44"}
|
142 |
+
{"current_steps": 116, "total_steps": 1235, "loss": 1.2835, "lr": 3.741935483870968e-05, "epoch": 0.46963562753036436, "percentage": 9.39, "elapsed_time": "0:45:14", "remaining_time": "7:16:21"}
|
143 |
+
{"current_steps": 117, "total_steps": 1235, "loss": 1.2937, "lr": 3.7741935483870974e-05, "epoch": 0.47368421052631576, "percentage": 9.47, "elapsed_time": "0:45:37", "remaining_time": "7:15:57"}
|
144 |
+
{"current_steps": 118, "total_steps": 1235, "loss": 1.3128, "lr": 3.806451612903226e-05, "epoch": 0.4777327935222672, "percentage": 9.55, "elapsed_time": "0:46:00", "remaining_time": "7:15:35"}
|
145 |
+
{"current_steps": 119, "total_steps": 1235, "loss": 1.2677, "lr": 3.8387096774193555e-05, "epoch": 0.4817813765182186, "percentage": 9.64, "elapsed_time": "0:46:24", "remaining_time": "7:15:15"}
|
146 |
+
{"current_steps": 120, "total_steps": 1235, "loss": 1.3323, "lr": 3.870967741935484e-05, "epoch": 0.48582995951417, "percentage": 9.72, "elapsed_time": "0:46:47", "remaining_time": "7:14:47"}
|
147 |
+
{"current_steps": 121, "total_steps": 1235, "loss": 1.2957, "lr": 3.9032258064516135e-05, "epoch": 0.4898785425101215, "percentage": 9.8, "elapsed_time": "0:47:11", "remaining_time": "7:14:25"}
|
148 |
+
{"current_steps": 122, "total_steps": 1235, "loss": 1.2902, "lr": 3.935483870967742e-05, "epoch": 0.4939271255060729, "percentage": 9.88, "elapsed_time": "0:47:34", "remaining_time": "7:14:00"}
|
149 |
+
{"current_steps": 123, "total_steps": 1235, "loss": 1.2708, "lr": 3.9677419354838716e-05, "epoch": 0.4979757085020243, "percentage": 9.96, "elapsed_time": "0:47:57", "remaining_time": "7:13:32"}
|
150 |
+
{"current_steps": 124, "total_steps": 1235, "loss": 1.3029, "lr": 4e-05, "epoch": 0.5020242914979757, "percentage": 10.04, "elapsed_time": "0:48:21", "remaining_time": "7:13:14"}
|
151 |
+
{"current_steps": 125, "total_steps": 1235, "loss": 1.2965, "lr": 3.9999920040266474e-05, "epoch": 0.5060728744939271, "percentage": 10.12, "elapsed_time": "0:48:45", "remaining_time": "7:12:54"}
|
152 |
+
{"current_steps": 126, "total_steps": 1235, "loss": 1.3325, "lr": 3.999968016170525e-05, "epoch": 0.5101214574898786, "percentage": 10.2, "elapsed_time": "0:49:09", "remaining_time": "7:12:37"}
|
153 |
+
{"current_steps": 127, "total_steps": 1235, "loss": 1.3301, "lr": 3.9999280366234394e-05, "epoch": 0.5141700404858299, "percentage": 10.28, "elapsed_time": "0:49:32", "remaining_time": "7:12:09"}
|
154 |
+
{"current_steps": 128, "total_steps": 1235, "loss": 1.2978, "lr": 3.999872065705065e-05, "epoch": 0.5182186234817814, "percentage": 10.36, "elapsed_time": "0:49:55", "remaining_time": "7:11:42"}
|
155 |
+
{"current_steps": 129, "total_steps": 1235, "loss": 1.3176, "lr": 3.999800103862945e-05, "epoch": 0.5222672064777328, "percentage": 10.45, "elapsed_time": "0:50:17", "remaining_time": "7:11:14"}
|
156 |
+
{"current_steps": 130, "total_steps": 1235, "loss": 1.318, "lr": 3.9997121516724834e-05, "epoch": 0.5263157894736842, "percentage": 10.53, "elapsed_time": "0:50:41", "remaining_time": "7:10:53"}
|
157 |
+
{"current_steps": 131, "total_steps": 1235, "loss": 1.3373, "lr": 3.999608209836944e-05, "epoch": 0.5303643724696356, "percentage": 10.61, "elapsed_time": "0:51:04", "remaining_time": "7:10:22"}
|
158 |
+
{"current_steps": 132, "total_steps": 1235, "loss": 1.3526, "lr": 3.999488279187443e-05, "epoch": 0.5344129554655871, "percentage": 10.69, "elapsed_time": "0:51:27", "remaining_time": "7:09:59"}
|
159 |
+
{"current_steps": 133, "total_steps": 1235, "loss": 1.3104, "lr": 3.9993523606829425e-05, "epoch": 0.5384615384615384, "percentage": 10.77, "elapsed_time": "0:51:50", "remaining_time": "7:09:34"}
|
160 |
+
{"current_steps": 134, "total_steps": 1235, "loss": 1.2817, "lr": 3.9992004554102435e-05, "epoch": 0.5425101214574899, "percentage": 10.85, "elapsed_time": "0:52:14", "remaining_time": "7:09:12"}
|
161 |
+
{"current_steps": 135, "total_steps": 1235, "loss": 1.3233, "lr": 3.999032564583976e-05, "epoch": 0.5465587044534413, "percentage": 10.93, "elapsed_time": "0:52:38", "remaining_time": "7:08:53"}
|
162 |
+
{"current_steps": 136, "total_steps": 1235, "loss": 1.3289, "lr": 3.998848689546591e-05, "epoch": 0.5506072874493927, "percentage": 11.01, "elapsed_time": "0:53:01", "remaining_time": "7:08:25"}
|
163 |
+
{"current_steps": 137, "total_steps": 1235, "loss": 1.3197, "lr": 3.9986488317683496e-05, "epoch": 0.5546558704453441, "percentage": 11.09, "elapsed_time": "0:53:24", "remaining_time": "7:08:00"}
|
164 |
+
{"current_steps": 138, "total_steps": 1235, "loss": 1.2849, "lr": 3.9984329928473067e-05, "epoch": 0.5587044534412956, "percentage": 11.17, "elapsed_time": "0:53:48", "remaining_time": "7:07:40"}
|
165 |
+
{"current_steps": 139, "total_steps": 1235, "loss": 1.3246, "lr": 3.998201174509306e-05, "epoch": 0.562753036437247, "percentage": 11.26, "elapsed_time": "0:54:11", "remaining_time": "7:07:18"}
|
166 |
+
{"current_steps": 140, "total_steps": 1235, "loss": 1.32, "lr": 3.997953378607961e-05, "epoch": 0.5668016194331984, "percentage": 11.34, "elapsed_time": "0:54:35", "remaining_time": "7:06:58"}
|
167 |
+
{"current_steps": 141, "total_steps": 1235, "loss": 1.3303, "lr": 3.9976896071246403e-05, "epoch": 0.5708502024291497, "percentage": 11.42, "elapsed_time": "0:54:58", "remaining_time": "7:06:34"}
|
168 |
+
{"current_steps": 142, "total_steps": 1235, "loss": 1.2894, "lr": 3.997409862168454e-05, "epoch": 0.5748987854251012, "percentage": 11.5, "elapsed_time": "0:55:21", "remaining_time": "7:06:06"}
|
169 |
+
{"current_steps": 143, "total_steps": 1235, "loss": 1.2833, "lr": 3.997114145976237e-05, "epoch": 0.5789473684210527, "percentage": 11.58, "elapsed_time": "0:55:44", "remaining_time": "7:05:43"}
|
170 |
+
{"current_steps": 144, "total_steps": 1235, "loss": 1.2841, "lr": 3.9968024609125245e-05, "epoch": 0.582995951417004, "percentage": 11.66, "elapsed_time": "0:56:08", "remaining_time": "7:05:23"}
|
171 |
+
{"current_steps": 145, "total_steps": 1235, "loss": 1.3468, "lr": 3.996474809469545e-05, "epoch": 0.5870445344129555, "percentage": 11.74, "elapsed_time": "0:56:31", "remaining_time": "7:04:56"}
|
172 |
+
{"current_steps": 146, "total_steps": 1235, "loss": 1.2802, "lr": 3.996131194267189e-05, "epoch": 0.5910931174089069, "percentage": 11.82, "elapsed_time": "0:56:54", "remaining_time": "7:04:30"}
|
173 |
+
{"current_steps": 147, "total_steps": 1235, "loss": 1.3315, "lr": 3.995771618052995e-05, "epoch": 0.5951417004048583, "percentage": 11.9, "elapsed_time": "0:57:17", "remaining_time": "7:04:02"}
|
174 |
+
{"current_steps": 148, "total_steps": 1235, "loss": 1.2693, "lr": 3.9953960837021256e-05, "epoch": 0.5991902834008097, "percentage": 11.98, "elapsed_time": "0:57:40", "remaining_time": "7:03:37"}
|
175 |
+
{"current_steps": 149, "total_steps": 1235, "loss": 1.3269, "lr": 3.995004594217343e-05, "epoch": 0.6032388663967612, "percentage": 12.06, "elapsed_time": "0:58:03", "remaining_time": "7:03:12"}
|
176 |
+
{"current_steps": 150, "total_steps": 1235, "loss": 1.3324, "lr": 3.994597152728987e-05, "epoch": 0.6072874493927125, "percentage": 12.15, "elapsed_time": "0:58:27", "remaining_time": "7:02:52"}
|
177 |
+
{"current_steps": 151, "total_steps": 1235, "loss": 1.3009, "lr": 3.994173762494947e-05, "epoch": 0.611336032388664, "percentage": 12.23, "elapsed_time": "0:58:50", "remaining_time": "7:02:26"}
|
178 |
+
{"current_steps": 152, "total_steps": 1235, "loss": 1.2888, "lr": 3.9937344269006424e-05, "epoch": 0.6153846153846154, "percentage": 12.31, "elapsed_time": "0:59:13", "remaining_time": "7:01:56"}
|
179 |
+
{"current_steps": 153, "total_steps": 1235, "loss": 1.3117, "lr": 3.993279149458988e-05, "epoch": 0.6194331983805668, "percentage": 12.39, "elapsed_time": "0:59:36", "remaining_time": "7:01:33"}
|
180 |
+
{"current_steps": 154, "total_steps": 1235, "loss": 1.2915, "lr": 3.9928079338103695e-05, "epoch": 0.6234817813765182, "percentage": 12.47, "elapsed_time": "0:59:58", "remaining_time": "7:01:02"}
|
181 |
+
{"current_steps": 155, "total_steps": 1235, "loss": 1.3225, "lr": 3.992320783722616e-05, "epoch": 0.6275303643724697, "percentage": 12.55, "elapsed_time": "1:00:21", "remaining_time": "7:00:35"}
|
182 |
+
{"current_steps": 156, "total_steps": 1235, "loss": 1.3126, "lr": 3.991817703090965e-05, "epoch": 0.631578947368421, "percentage": 12.63, "elapsed_time": "1:00:44", "remaining_time": "7:00:05"}
|
183 |
+
{"current_steps": 157, "total_steps": 1235, "loss": 1.2878, "lr": 3.991298695938038e-05, "epoch": 0.6356275303643725, "percentage": 12.71, "elapsed_time": "1:01:07", "remaining_time": "6:59:43"}
|
184 |
+
{"current_steps": 158, "total_steps": 1235, "loss": 1.2944, "lr": 3.9907637664138e-05, "epoch": 0.6396761133603239, "percentage": 12.79, "elapsed_time": "1:01:31", "remaining_time": "6:59:23"}
|
185 |
+
{"current_steps": 159, "total_steps": 1235, "loss": 1.2937, "lr": 3.990212918795534e-05, "epoch": 0.6437246963562753, "percentage": 12.87, "elapsed_time": "1:01:54", "remaining_time": "6:58:56"}
|
186 |
+
{"current_steps": 160, "total_steps": 1235, "loss": 1.3126, "lr": 3.9896461574878036e-05, "epoch": 0.6477732793522267, "percentage": 12.96, "elapsed_time": "1:02:17", "remaining_time": "6:58:31"}
|
187 |
+
{"current_steps": 161, "total_steps": 1235, "loss": 1.2844, "lr": 3.989063487022416e-05, "epoch": 0.6518218623481782, "percentage": 13.04, "elapsed_time": "1:02:41", "remaining_time": "6:58:10"}
|
188 |
+
{"current_steps": 162, "total_steps": 1235, "loss": 1.2876, "lr": 3.9884649120583903e-05, "epoch": 0.6558704453441295, "percentage": 13.12, "elapsed_time": "1:03:04", "remaining_time": "6:57:46"}
|
189 |
+
{"current_steps": 163, "total_steps": 1235, "loss": 1.2645, "lr": 3.987850437381915e-05, "epoch": 0.659919028340081, "percentage": 13.2, "elapsed_time": "1:03:28", "remaining_time": "6:57:25"}
|
190 |
+
{"current_steps": 164, "total_steps": 1235, "loss": 1.31, "lr": 3.987220067906313e-05, "epoch": 0.6639676113360324, "percentage": 13.28, "elapsed_time": "1:03:52", "remaining_time": "6:57:05"}
|
191 |
+
{"current_steps": 165, "total_steps": 1235, "loss": 1.2918, "lr": 3.986573808672002e-05, "epoch": 0.6680161943319838, "percentage": 13.36, "elapsed_time": "1:04:15", "remaining_time": "6:56:41"}
|
192 |
+
{"current_steps": 166, "total_steps": 1235, "loss": 1.2931, "lr": 3.9859116648464534e-05, "epoch": 0.6720647773279352, "percentage": 13.44, "elapsed_time": "1:04:38", "remaining_time": "6:56:18"}
|
193 |
+
{"current_steps": 167, "total_steps": 1235, "loss": 1.2816, "lr": 3.985233641724152e-05, "epoch": 0.6761133603238867, "percentage": 13.52, "elapsed_time": "1:05:01", "remaining_time": "6:55:53"}
|
194 |
+
{"current_steps": 168, "total_steps": 1235, "loss": 1.3034, "lr": 3.984539744726554e-05, "epoch": 0.680161943319838, "percentage": 13.6, "elapsed_time": "1:05:25", "remaining_time": "6:55:31"}
|
195 |
+
{"current_steps": 169, "total_steps": 1235, "loss": 1.2877, "lr": 3.983829979402038e-05, "epoch": 0.6842105263157895, "percentage": 13.68, "elapsed_time": "1:05:48", "remaining_time": "6:55:07"}
|
196 |
+
{"current_steps": 170, "total_steps": 1235, "loss": 1.3056, "lr": 3.983104351425871e-05, "epoch": 0.6882591093117408, "percentage": 13.77, "elapsed_time": "1:06:12", "remaining_time": "6:54:47"}
|
197 |
+
{"current_steps": 171, "total_steps": 1235, "loss": 1.2709, "lr": 3.982362866600154e-05, "epoch": 0.6923076923076923, "percentage": 13.85, "elapsed_time": "1:06:34", "remaining_time": "6:54:16"}
|
198 |
+
{"current_steps": 172, "total_steps": 1235, "loss": 1.3004, "lr": 3.9816055308537806e-05, "epoch": 0.6963562753036437, "percentage": 13.93, "elapsed_time": "1:06:58", "remaining_time": "6:53:55"}
|
199 |
+
{"current_steps": 173, "total_steps": 1235, "loss": 1.3146, "lr": 3.980832350242388e-05, "epoch": 0.7004048582995951, "percentage": 14.01, "elapsed_time": "1:07:21", "remaining_time": "6:53:29"}
|
200 |
+
{"current_steps": 174, "total_steps": 1235, "loss": 1.2946, "lr": 3.980043330948306e-05, "epoch": 0.7044534412955465, "percentage": 14.09, "elapsed_time": "1:07:45", "remaining_time": "6:53:09"}
|
201 |
+
{"current_steps": 175, "total_steps": 1235, "loss": 1.2999, "lr": 3.9792384792805124e-05, "epoch": 0.708502024291498, "percentage": 14.17, "elapsed_time": "1:08:07", "remaining_time": "6:52:41"}
|
202 |
+
{"current_steps": 176, "total_steps": 1235, "loss": 1.3034, "lr": 3.978417801674579e-05, "epoch": 0.7125506072874493, "percentage": 14.25, "elapsed_time": "1:08:31", "remaining_time": "6:52:20"}
|
203 |
+
{"current_steps": 177, "total_steps": 1235, "loss": 1.3045, "lr": 3.9775813046926244e-05, "epoch": 0.7165991902834008, "percentage": 14.33, "elapsed_time": "1:08:55", "remaining_time": "6:52:01"}
|
204 |
+
{"current_steps": 178, "total_steps": 1235, "loss": 1.2639, "lr": 3.976728995023254e-05, "epoch": 0.7206477732793523, "percentage": 14.41, "elapsed_time": "1:09:18", "remaining_time": "6:51:36"}
|
205 |
+
{"current_steps": 179, "total_steps": 1235, "loss": 1.2624, "lr": 3.975860879481514e-05, "epoch": 0.7246963562753036, "percentage": 14.49, "elapsed_time": "1:09:42", "remaining_time": "6:51:13"}
|
206 |
+
{"current_steps": 180, "total_steps": 1235, "loss": 1.2912, "lr": 3.974976965008833e-05, "epoch": 0.728744939271255, "percentage": 14.57, "elapsed_time": "1:10:04", "remaining_time": "6:50:41"}
|
207 |
+
{"current_steps": 181, "total_steps": 1235, "loss": 1.2727, "lr": 3.9740772586729674e-05, "epoch": 0.7327935222672065, "percentage": 14.66, "elapsed_time": "1:10:28", "remaining_time": "6:50:20"}
|
208 |
+
{"current_steps": 182, "total_steps": 1235, "loss": 1.2714, "lr": 3.973161767667946e-05, "epoch": 0.7368421052631579, "percentage": 14.74, "elapsed_time": "1:10:51", "remaining_time": "6:50:00"}
|
209 |
+
{"current_steps": 183, "total_steps": 1235, "loss": 1.3209, "lr": 3.972230499314009e-05, "epoch": 0.7408906882591093, "percentage": 14.82, "elapsed_time": "1:11:15", "remaining_time": "6:49:35"}
|
210 |
+
{"current_steps": 184, "total_steps": 1235, "loss": 1.2924, "lr": 3.9712834610575545e-05, "epoch": 0.7449392712550608, "percentage": 14.9, "elapsed_time": "1:11:38", "remaining_time": "6:49:13"}
|
211 |
+
{"current_steps": 185, "total_steps": 1235, "loss": 1.2927, "lr": 3.9703206604710746e-05, "epoch": 0.7489878542510121, "percentage": 14.98, "elapsed_time": "1:12:01", "remaining_time": "6:48:46"}
|
212 |
+
{"current_steps": 186, "total_steps": 1235, "loss": 1.2968, "lr": 3.969342105253098e-05, "epoch": 0.7530364372469636, "percentage": 15.06, "elapsed_time": "1:12:24", "remaining_time": "6:48:23"}
|
213 |
+
{"current_steps": 187, "total_steps": 1235, "loss": 1.3105, "lr": 3.9683478032281246e-05, "epoch": 0.757085020242915, "percentage": 15.14, "elapsed_time": "1:12:47", "remaining_time": "6:47:55"}
|
214 |
+
{"current_steps": 188, "total_steps": 1235, "loss": 1.287, "lr": 3.967337762346568e-05, "epoch": 0.7611336032388664, "percentage": 15.22, "elapsed_time": "1:13:10", "remaining_time": "6:47:33"}
|
215 |
+
{"current_steps": 189, "total_steps": 1235, "loss": 1.2642, "lr": 3.9663119906846885e-05, "epoch": 0.7651821862348178, "percentage": 15.3, "elapsed_time": "1:13:34", "remaining_time": "6:47:09"}
|
216 |
+
{"current_steps": 190, "total_steps": 1235, "loss": 1.2646, "lr": 3.965270496444528e-05, "epoch": 0.7692307692307693, "percentage": 15.38, "elapsed_time": "1:13:57", "remaining_time": "6:46:44"}
|
217 |
+
{"current_steps": 191, "total_steps": 1235, "loss": 1.3214, "lr": 3.9642132879538465e-05, "epoch": 0.7732793522267206, "percentage": 15.47, "elapsed_time": "1:14:20", "remaining_time": "6:46:20"}
|
218 |
+
{"current_steps": 192, "total_steps": 1235, "loss": 1.2986, "lr": 3.9631403736660566e-05, "epoch": 0.7773279352226721, "percentage": 15.55, "elapsed_time": "1:14:43", "remaining_time": "6:45:56"}
|
219 |
+
{"current_steps": 193, "total_steps": 1235, "loss": 1.2243, "lr": 3.962051762160151e-05, "epoch": 0.7813765182186235, "percentage": 15.63, "elapsed_time": "1:15:06", "remaining_time": "6:45:30"}
|
220 |
+
{"current_steps": 194, "total_steps": 1235, "loss": 1.302, "lr": 3.960947462140638e-05, "epoch": 0.7854251012145749, "percentage": 15.71, "elapsed_time": "1:15:27", "remaining_time": "6:44:55"}
|
221 |
+
{"current_steps": 195, "total_steps": 1235, "loss": 1.2987, "lr": 3.959827482437472e-05, "epoch": 0.7894736842105263, "percentage": 15.79, "elapsed_time": "1:15:50", "remaining_time": "6:44:29"}
|
222 |
+
{"current_steps": 196, "total_steps": 1235, "loss": 1.2747, "lr": 3.958691832005981e-05, "epoch": 0.7935222672064778, "percentage": 15.87, "elapsed_time": "1:16:14", "remaining_time": "6:44:09"}
|
223 |
+
{"current_steps": 197, "total_steps": 1235, "loss": 1.2634, "lr": 3.9575405199267944e-05, "epoch": 0.7975708502024291, "percentage": 15.95, "elapsed_time": "1:16:37", "remaining_time": "6:43:44"}
|
224 |
+
{"current_steps": 198, "total_steps": 1235, "loss": 1.2675, "lr": 3.956373555405774e-05, "epoch": 0.8016194331983806, "percentage": 16.03, "elapsed_time": "1:17:00", "remaining_time": "6:43:20"}
|
225 |
+
{"current_steps": 199, "total_steps": 1235, "loss": 1.2968, "lr": 3.955190947773937e-05, "epoch": 0.805668016194332, "percentage": 16.11, "elapsed_time": "1:17:23", "remaining_time": "6:42:53"}
|
226 |
+
{"current_steps": 200, "total_steps": 1235, "loss": 1.313, "lr": 3.9539927064873824e-05, "epoch": 0.8097165991902834, "percentage": 16.19, "elapsed_time": "1:17:45", "remaining_time": "6:42:24"}
|
227 |
+
{"current_steps": 201, "total_steps": 1235, "loss": 1.2787, "lr": 3.952778841127214e-05, "epoch": 0.8137651821862348, "percentage": 16.28, "elapsed_time": "1:18:08", "remaining_time": "6:41:59"}
|
228 |
+
{"current_steps": 202, "total_steps": 1235, "loss": 1.2587, "lr": 3.95154936139947e-05, "epoch": 0.8178137651821862, "percentage": 16.36, "elapsed_time": "1:18:32", "remaining_time": "6:41:39"}
|
229 |
+
{"current_steps": 203, "total_steps": 1235, "loss": 1.2901, "lr": 3.950304277135034e-05, "epoch": 0.8218623481781376, "percentage": 16.44, "elapsed_time": "1:18:56", "remaining_time": "6:41:16"}
|
230 |
+
{"current_steps": 204, "total_steps": 1235, "loss": 1.309, "lr": 3.94904359828957e-05, "epoch": 0.8259109311740891, "percentage": 16.52, "elapsed_time": "1:19:20", "remaining_time": "6:40:56"}
|
231 |
+
{"current_steps": 205, "total_steps": 1235, "loss": 1.2945, "lr": 3.94776733494343e-05, "epoch": 0.8299595141700404, "percentage": 16.6, "elapsed_time": "1:19:43", "remaining_time": "6:40:33"}
|
232 |
+
{"current_steps": 206, "total_steps": 1235, "loss": 1.2941, "lr": 3.9464754973015826e-05, "epoch": 0.8340080971659919, "percentage": 16.68, "elapsed_time": "1:20:07", "remaining_time": "6:40:12"}
|
233 |
+
{"current_steps": 207, "total_steps": 1235, "loss": 1.3564, "lr": 3.9451680956935275e-05, "epoch": 0.8380566801619433, "percentage": 16.76, "elapsed_time": "1:20:30", "remaining_time": "6:39:48"}
|
234 |
+
{"current_steps": 208, "total_steps": 1235, "loss": 1.3068, "lr": 3.943845140573213e-05, "epoch": 0.8421052631578947, "percentage": 16.84, "elapsed_time": "1:20:53", "remaining_time": "6:39:25"}
|
235 |
+
{"current_steps": 209, "total_steps": 1235, "loss": 1.2876, "lr": 3.942506642518952e-05, "epoch": 0.8461538461538461, "percentage": 16.92, "elapsed_time": "1:21:16", "remaining_time": "6:38:59"}
|
236 |
+
{"current_steps": 210, "total_steps": 1235, "loss": 1.3168, "lr": 3.9411526122333396e-05, "epoch": 0.8502024291497976, "percentage": 17.0, "elapsed_time": "1:21:40", "remaining_time": "6:38:37"}
|
237 |
+
{"current_steps": 211, "total_steps": 1235, "loss": 1.3091, "lr": 3.939783060543167e-05, "epoch": 0.854251012145749, "percentage": 17.09, "elapsed_time": "1:22:03", "remaining_time": "6:38:16"}
|
238 |
+
{"current_steps": 212, "total_steps": 1235, "loss": 1.3325, "lr": 3.938397998399333e-05, "epoch": 0.8582995951417004, "percentage": 17.17, "elapsed_time": "1:22:27", "remaining_time": "6:37:54"}
|
239 |
+
{"current_steps": 213, "total_steps": 1235, "loss": 1.3055, "lr": 3.936997436876756e-05, "epoch": 0.8623481781376519, "percentage": 17.25, "elapsed_time": "1:22:50", "remaining_time": "6:37:28"}
|
240 |
+
{"current_steps": 214, "total_steps": 1235, "loss": 1.315, "lr": 3.935581387174289e-05, "epoch": 0.8663967611336032, "percentage": 17.33, "elapsed_time": "1:23:13", "remaining_time": "6:37:05"}
|
241 |
+
{"current_steps": 215, "total_steps": 1235, "loss": 1.2686, "lr": 3.9341498606146295e-05, "epoch": 0.8704453441295547, "percentage": 17.41, "elapsed_time": "1:23:36", "remaining_time": "6:36:41"}
|
242 |
+
{"current_steps": 216, "total_steps": 1235, "loss": 1.3158, "lr": 3.932702868644224e-05, "epoch": 0.8744939271255061, "percentage": 17.49, "elapsed_time": "1:24:00", "remaining_time": "6:36:17"}
|
243 |
+
{"current_steps": 217, "total_steps": 1235, "loss": 1.3057, "lr": 3.931240422833181e-05, "epoch": 0.8785425101214575, "percentage": 17.57, "elapsed_time": "1:24:23", "remaining_time": "6:35:56"}
|
244 |
+
{"current_steps": 218, "total_steps": 1235, "loss": 1.2635, "lr": 3.9297625348751806e-05, "epoch": 0.8825910931174089, "percentage": 17.65, "elapsed_time": "1:24:47", "remaining_time": "6:35:32"}
|
245 |
+
{"current_steps": 219, "total_steps": 1235, "loss": 1.2622, "lr": 3.9282692165873744e-05, "epoch": 0.8866396761133604, "percentage": 17.73, "elapsed_time": "1:25:11", "remaining_time": "6:35:12"}
|
246 |
+
{"current_steps": 220, "total_steps": 1235, "loss": 1.2728, "lr": 3.9267604799102945e-05, "epoch": 0.8906882591093117, "percentage": 17.81, "elapsed_time": "1:25:35", "remaining_time": "6:34:52"}
|
247 |
+
{"current_steps": 221, "total_steps": 1235, "loss": 1.3092, "lr": 3.9252363369077615e-05, "epoch": 0.8947368421052632, "percentage": 17.89, "elapsed_time": "1:25:59", "remaining_time": "6:34:31"}
|
248 |
+
{"current_steps": 222, "total_steps": 1235, "loss": 1.2754, "lr": 3.9236967997667796e-05, "epoch": 0.8987854251012146, "percentage": 17.98, "elapsed_time": "1:26:22", "remaining_time": "6:34:08"}
|
249 |
+
{"current_steps": 223, "total_steps": 1235, "loss": 1.2742, "lr": 3.9221418807974496e-05, "epoch": 0.902834008097166, "percentage": 18.06, "elapsed_time": "1:26:46", "remaining_time": "6:33:46"}
|
250 |
+
{"current_steps": 224, "total_steps": 1235, "loss": 1.2352, "lr": 3.92057159243286e-05, "epoch": 0.9068825910931174, "percentage": 18.14, "elapsed_time": "1:27:09", "remaining_time": "6:33:23"}
|
251 |
+
{"current_steps": 225, "total_steps": 1235, "loss": 1.2562, "lr": 3.9189859472289956e-05, "epoch": 0.9109311740890689, "percentage": 18.22, "elapsed_time": "1:27:31", "remaining_time": "6:32:52"}
|
252 |
+
{"current_steps": 226, "total_steps": 1235, "loss": 1.2836, "lr": 3.9173849578646324e-05, "epoch": 0.9149797570850202, "percentage": 18.3, "elapsed_time": "1:27:54", "remaining_time": "6:32:30"}
|
253 |
+
{"current_steps": 227, "total_steps": 1235, "loss": 1.2922, "lr": 3.9157686371412395e-05, "epoch": 0.9190283400809717, "percentage": 18.38, "elapsed_time": "1:28:18", "remaining_time": "6:32:07"}
|
254 |
+
{"current_steps": 228, "total_steps": 1235, "loss": 1.2974, "lr": 3.914136997982874e-05, "epoch": 0.9230769230769231, "percentage": 18.46, "elapsed_time": "1:28:40", "remaining_time": "6:31:40"}
|
255 |
+
{"current_steps": 229, "total_steps": 1235, "loss": 1.2969, "lr": 3.912490053436079e-05, "epoch": 0.9271255060728745, "percentage": 18.54, "elapsed_time": "1:29:04", "remaining_time": "6:31:20"}
|
256 |
+
{"current_steps": 230, "total_steps": 1235, "loss": 1.2771, "lr": 3.9108278166697805e-05, "epoch": 0.9311740890688259, "percentage": 18.62, "elapsed_time": "1:29:28", "remaining_time": "6:30:56"}
|
257 |
+
{"current_steps": 231, "total_steps": 1235, "loss": 1.2722, "lr": 3.909150300975178e-05, "epoch": 0.9352226720647774, "percentage": 18.7, "elapsed_time": "1:29:51", "remaining_time": "6:30:34"}
|
258 |
+
{"current_steps": 232, "total_steps": 1235, "loss": 1.2968, "lr": 3.907457519765642e-05, "epoch": 0.9392712550607287, "percentage": 18.79, "elapsed_time": "1:30:14", "remaining_time": "6:30:06"}
|
259 |
+
{"current_steps": 233, "total_steps": 1235, "loss": 1.2763, "lr": 3.905749486576607e-05, "epoch": 0.9433198380566802, "percentage": 18.87, "elapsed_time": "1:30:37", "remaining_time": "6:29:41"}
|
260 |
+
{"current_steps": 234, "total_steps": 1235, "loss": 1.2753, "lr": 3.90402621506546e-05, "epoch": 0.9473684210526315, "percentage": 18.95, "elapsed_time": "1:31:00", "remaining_time": "6:29:19"}
|
261 |
+
{"current_steps": 235, "total_steps": 1235, "loss": 1.3009, "lr": 3.902287719011435e-05, "epoch": 0.951417004048583, "percentage": 19.03, "elapsed_time": "1:31:24", "remaining_time": "6:28:58"}
|
262 |
+
{"current_steps": 236, "total_steps": 1235, "loss": 1.2998, "lr": 3.900534012315499e-05, "epoch": 0.9554655870445344, "percentage": 19.11, "elapsed_time": "1:31:47", "remaining_time": "6:28:34"}
|
263 |
+
{"current_steps": 237, "total_steps": 1235, "loss": 1.259, "lr": 3.8987651090002454e-05, "epoch": 0.9595141700404858, "percentage": 19.19, "elapsed_time": "1:32:11", "remaining_time": "6:28:12"}
|
264 |
+
{"current_steps": 238, "total_steps": 1235, "loss": 1.2872, "lr": 3.896981023209777e-05, "epoch": 0.9635627530364372, "percentage": 19.27, "elapsed_time": "1:32:34", "remaining_time": "6:27:49"}
|
265 |
+
{"current_steps": 239, "total_steps": 1235, "loss": 1.2798, "lr": 3.8951817692095966e-05, "epoch": 0.9676113360323887, "percentage": 19.35, "elapsed_time": "1:32:57", "remaining_time": "6:27:24"}
|
266 |
+
{"current_steps": 240, "total_steps": 1235, "loss": 1.3154, "lr": 3.893367361386491e-05, "epoch": 0.97165991902834, "percentage": 19.43, "elapsed_time": "1:33:20", "remaining_time": "6:26:57"}
|
267 |
+
{"current_steps": 241, "total_steps": 1235, "loss": 1.2381, "lr": 3.891537814248417e-05, "epoch": 0.9757085020242915, "percentage": 19.51, "elapsed_time": "1:33:43", "remaining_time": "6:26:34"}
|
268 |
+
{"current_steps": 242, "total_steps": 1235, "loss": 1.3087, "lr": 3.889693142424384e-05, "epoch": 0.979757085020243, "percentage": 19.6, "elapsed_time": "1:34:07", "remaining_time": "6:26:12"}
|
269 |
+
{"current_steps": 243, "total_steps": 1235, "loss": 1.2643, "lr": 3.8878333606643405e-05, "epoch": 0.9838056680161943, "percentage": 19.68, "elapsed_time": "1:34:30", "remaining_time": "6:25:49"}
|
270 |
+
{"current_steps": 244, "total_steps": 1235, "loss": 1.2999, "lr": 3.885958483839049e-05, "epoch": 0.9878542510121457, "percentage": 19.76, "elapsed_time": "1:34:54", "remaining_time": "6:25:28"}
|
271 |
+
{"current_steps": 245, "total_steps": 1235, "loss": 1.2949, "lr": 3.8840685269399786e-05, "epoch": 0.9919028340080972, "percentage": 19.84, "elapsed_time": "1:35:18", "remaining_time": "6:25:06"}
|
272 |
+
{"current_steps": 246, "total_steps": 1235, "loss": 1.2796, "lr": 3.882163505079171e-05, "epoch": 0.9959514170040485, "percentage": 19.92, "elapsed_time": "1:35:41", "remaining_time": "6:24:43"}
|
273 |
+
{"current_steps": 247, "total_steps": 1235, "loss": 1.2937, "lr": 3.880243433489132e-05, "epoch": 1.0, "percentage": 20.0, "elapsed_time": "1:36:06", "remaining_time": "6:24:24"}
|
274 |
+
{"current_steps": 248, "total_steps": 1235, "loss": 1.2308, "lr": 3.878308327522702e-05, "epoch": 1.0040485829959513, "percentage": 20.08, "elapsed_time": "1:38:50", "remaining_time": "6:33:21"}
|
275 |
+
{"current_steps": 249, "total_steps": 1235, "loss": 1.2506, "lr": 3.876358202652936e-05, "epoch": 1.008097165991903, "percentage": 20.16, "elapsed_time": "1:39:13", "remaining_time": "6:32:56"}
|
276 |
+
{"current_steps": 250, "total_steps": 1235, "loss": 1.2287, "lr": 3.8743930744729835e-05, "epoch": 1.0121457489878543, "percentage": 20.24, "elapsed_time": "1:39:36", "remaining_time": "6:32:25"}
|
277 |
+
{"current_steps": 251, "total_steps": 1235, "loss": 1.2684, "lr": 3.8724129586959535e-05, "epoch": 1.0161943319838056, "percentage": 20.32, "elapsed_time": "1:39:58", "remaining_time": "6:31:55"}
|
278 |
+
{"current_steps": 252, "total_steps": 1235, "loss": 1.2446, "lr": 3.870417871154801e-05, "epoch": 1.0202429149797572, "percentage": 20.4, "elapsed_time": "1:40:22", "remaining_time": "6:31:30"}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8a7036a0a1416c6a4cfe88a162e8fe3db7b66dab4ba8d8c2e863dc70e57c874e
|
3 |
+
size 7352
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|