Training in progress, epoch 0
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 +250 -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 sha256:4a309bcd08695c05da31257f0009ff267c2c5d9a2c61d6ee04e0594e5b170b9e
|
3 |
+
size 4877660776
|
model-00002-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2db6e3d04b021fc11c0d94bca655fbfb616e7f9b7aaf784959e533789318ea05
|
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:bcf26de7725005af6e97a4ce6621fc37ba6d7b6fc867ca21264b4600850004fc
|
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:f6fa33643887c6b95c2ae8c86ae8c3cc09fd8d986f4faa1f663dd2759afa138c
|
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 +1,250 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"current_steps": 1, "total_steps": 1230, "loss": 1.0447, "lr": 3.2520325203252037e-07, "epoch": 0.004050632911392405, "percentage": 0.08, "elapsed_time": "0:00:50", "remaining_time": "17:13:17"}
|
2 |
+
{"current_steps": 2, "total_steps": 1230, "loss": 1.0567, "lr": 6.504065040650407e-07, "epoch": 0.00810126582278481, "percentage": 0.16, "elapsed_time": "0:01:37", "remaining_time": "16:35:31"}
|
3 |
+
{"current_steps": 3, "total_steps": 1230, "loss": 1.0575, "lr": 9.75609756097561e-07, "epoch": 0.012151898734177215, "percentage": 0.24, "elapsed_time": "0:02:18", "remaining_time": "15:46:30"}
|
4 |
+
{"current_steps": 4, "total_steps": 1230, "loss": 1.0441, "lr": 1.3008130081300815e-06, "epoch": 0.01620253164556962, "percentage": 0.33, "elapsed_time": "0:03:05", "remaining_time": "15:47:12"}
|
5 |
+
{"current_steps": 5, "total_steps": 1230, "loss": 1.0194, "lr": 1.6260162601626018e-06, "epoch": 0.020253164556962026, "percentage": 0.41, "elapsed_time": "0:03:52", "remaining_time": "15:48:50"}
|
6 |
+
{"current_steps": 6, "total_steps": 1230, "loss": 1.0112, "lr": 1.951219512195122e-06, "epoch": 0.02430379746835443, "percentage": 0.49, "elapsed_time": "0:04:39", "remaining_time": "15:49:41"}
|
7 |
+
{"current_steps": 7, "total_steps": 1230, "loss": 1.0053, "lr": 2.2764227642276426e-06, "epoch": 0.028354430379746835, "percentage": 0.57, "elapsed_time": "0:05:21", "remaining_time": "15:35:38"}
|
8 |
+
{"current_steps": 8, "total_steps": 1230, "loss": 0.9883, "lr": 2.601626016260163e-06, "epoch": 0.03240506329113924, "percentage": 0.65, "elapsed_time": "0:06:05", "remaining_time": "15:30:12"}
|
9 |
+
{"current_steps": 9, "total_steps": 1230, "loss": 0.9672, "lr": 2.926829268292683e-06, "epoch": 0.03645569620253165, "percentage": 0.73, "elapsed_time": "0:06:50", "remaining_time": "15:27:29"}
|
10 |
+
{"current_steps": 10, "total_steps": 1230, "loss": 0.9679, "lr": 3.2520325203252037e-06, "epoch": 0.04050632911392405, "percentage": 0.81, "elapsed_time": "0:07:33", "remaining_time": "15:23:02"}
|
11 |
+
{"current_steps": 11, "total_steps": 1230, "loss": 0.9473, "lr": 3.577235772357724e-06, "epoch": 0.044556962025316456, "percentage": 0.89, "elapsed_time": "0:08:15", "remaining_time": "15:15:28"}
|
12 |
+
{"current_steps": 12, "total_steps": 1230, "loss": 0.9301, "lr": 3.902439024390244e-06, "epoch": 0.04860759493670886, "percentage": 0.98, "elapsed_time": "0:08:58", "remaining_time": "15:11:21"}
|
13 |
+
{"current_steps": 13, "total_steps": 1230, "loss": 0.9432, "lr": 4.227642276422765e-06, "epoch": 0.052658227848101265, "percentage": 1.06, "elapsed_time": "0:09:43", "remaining_time": "15:09:53"}
|
14 |
+
{"current_steps": 14, "total_steps": 1230, "loss": 0.9423, "lr": 4.552845528455285e-06, "epoch": 0.05670886075949367, "percentage": 1.14, "elapsed_time": "0:10:29", "remaining_time": "15:10:33"}
|
15 |
+
{"current_steps": 15, "total_steps": 1230, "loss": 0.9269, "lr": 4.8780487804878055e-06, "epoch": 0.060759493670886074, "percentage": 1.22, "elapsed_time": "0:11:13", "remaining_time": "15:08:44"}
|
16 |
+
{"current_steps": 16, "total_steps": 1230, "loss": 0.8869, "lr": 5.203252032520326e-06, "epoch": 0.06481012658227848, "percentage": 1.3, "elapsed_time": "0:11:59", "remaining_time": "15:09:32"}
|
17 |
+
{"current_steps": 17, "total_steps": 1230, "loss": 0.8884, "lr": 5.528455284552846e-06, "epoch": 0.06886075949367089, "percentage": 1.38, "elapsed_time": "0:12:45", "remaining_time": "15:10:02"}
|
18 |
+
{"current_steps": 18, "total_steps": 1230, "loss": 0.8793, "lr": 5.853658536585366e-06, "epoch": 0.0729113924050633, "percentage": 1.46, "elapsed_time": "0:13:32", "remaining_time": "15:11:29"}
|
19 |
+
{"current_steps": 19, "total_steps": 1230, "loss": 0.8458, "lr": 6.178861788617887e-06, "epoch": 0.0769620253164557, "percentage": 1.54, "elapsed_time": "0:14:15", "remaining_time": "15:08:58"}
|
20 |
+
{"current_steps": 20, "total_steps": 1230, "loss": 0.8388, "lr": 6.504065040650407e-06, "epoch": 0.0810126582278481, "percentage": 1.63, "elapsed_time": "0:15:00", "remaining_time": "15:08:05"}
|
21 |
+
{"current_steps": 21, "total_steps": 1230, "loss": 0.8321, "lr": 6.829268292682928e-06, "epoch": 0.08506329113924051, "percentage": 1.71, "elapsed_time": "0:15:44", "remaining_time": "15:06:15"}
|
22 |
+
{"current_steps": 22, "total_steps": 1230, "loss": 0.8085, "lr": 7.154471544715448e-06, "epoch": 0.08911392405063291, "percentage": 1.79, "elapsed_time": "0:16:28", "remaining_time": "15:04:54"}
|
23 |
+
{"current_steps": 23, "total_steps": 1230, "loss": 0.8127, "lr": 7.4796747967479676e-06, "epoch": 0.09316455696202532, "percentage": 1.87, "elapsed_time": "0:17:12", "remaining_time": "15:03:20"}
|
24 |
+
{"current_steps": 24, "total_steps": 1230, "loss": 0.7963, "lr": 7.804878048780489e-06, "epoch": 0.09721518987341772, "percentage": 1.95, "elapsed_time": "0:17:56", "remaining_time": "15:01:29"}
|
25 |
+
{"current_steps": 25, "total_steps": 1230, "loss": 0.7735, "lr": 8.130081300813009e-06, "epoch": 0.10126582278481013, "percentage": 2.03, "elapsed_time": "0:18:40", "remaining_time": "15:00:11"}
|
26 |
+
{"current_steps": 26, "total_steps": 1230, "loss": 0.7627, "lr": 8.45528455284553e-06, "epoch": 0.10531645569620253, "percentage": 2.11, "elapsed_time": "0:19:25", "remaining_time": "14:59:46"}
|
27 |
+
{"current_steps": 27, "total_steps": 1230, "loss": 0.7848, "lr": 8.78048780487805e-06, "epoch": 0.10936708860759493, "percentage": 2.2, "elapsed_time": "0:20:11", "remaining_time": "14:59:23"}
|
28 |
+
{"current_steps": 28, "total_steps": 1230, "loss": 0.776, "lr": 9.10569105691057e-06, "epoch": 0.11341772151898734, "percentage": 2.28, "elapsed_time": "0:20:56", "remaining_time": "14:58:52"}
|
29 |
+
{"current_steps": 29, "total_steps": 1230, "loss": 0.7818, "lr": 9.43089430894309e-06, "epoch": 0.11746835443037974, "percentage": 2.36, "elapsed_time": "0:21:42", "remaining_time": "14:58:59"}
|
30 |
+
{"current_steps": 30, "total_steps": 1230, "loss": 0.7531, "lr": 9.756097560975611e-06, "epoch": 0.12151898734177215, "percentage": 2.44, "elapsed_time": "0:22:27", "remaining_time": "14:58:15"}
|
31 |
+
{"current_steps": 31, "total_steps": 1230, "loss": 0.7519, "lr": 1.008130081300813e-05, "epoch": 0.12556962025316457, "percentage": 2.52, "elapsed_time": "0:23:13", "remaining_time": "14:58:18"}
|
32 |
+
{"current_steps": 32, "total_steps": 1230, "loss": 0.7663, "lr": 1.0406504065040652e-05, "epoch": 0.12962025316455697, "percentage": 2.6, "elapsed_time": "0:23:58", "remaining_time": "14:57:51"}
|
33 |
+
{"current_steps": 33, "total_steps": 1230, "loss": 0.7531, "lr": 1.0731707317073172e-05, "epoch": 0.13367088607594937, "percentage": 2.68, "elapsed_time": "0:24:44", "remaining_time": "14:57:17"}
|
34 |
+
{"current_steps": 34, "total_steps": 1230, "loss": 0.7477, "lr": 1.1056910569105692e-05, "epoch": 0.13772151898734178, "percentage": 2.76, "elapsed_time": "0:25:30", "remaining_time": "14:57:09"}
|
35 |
+
{"current_steps": 35, "total_steps": 1230, "loss": 0.7341, "lr": 1.1382113821138213e-05, "epoch": 0.14177215189873418, "percentage": 2.85, "elapsed_time": "0:26:15", "remaining_time": "14:56:21"}
|
36 |
+
{"current_steps": 36, "total_steps": 1230, "loss": 0.7302, "lr": 1.1707317073170731e-05, "epoch": 0.1458227848101266, "percentage": 2.93, "elapsed_time": "0:27:00", "remaining_time": "14:55:38"}
|
37 |
+
{"current_steps": 37, "total_steps": 1230, "loss": 0.7298, "lr": 1.2032520325203254e-05, "epoch": 0.149873417721519, "percentage": 3.01, "elapsed_time": "0:27:44", "remaining_time": "14:54:30"}
|
38 |
+
{"current_steps": 38, "total_steps": 1230, "loss": 0.7558, "lr": 1.2357723577235774e-05, "epoch": 0.1539240506329114, "percentage": 3.09, "elapsed_time": "0:28:29", "remaining_time": "14:53:48"}
|
39 |
+
{"current_steps": 39, "total_steps": 1230, "loss": 0.7272, "lr": 1.2682926829268294e-05, "epoch": 0.1579746835443038, "percentage": 3.17, "elapsed_time": "0:29:14", "remaining_time": "14:52:56"}
|
40 |
+
{"current_steps": 40, "total_steps": 1230, "loss": 0.7305, "lr": 1.3008130081300815e-05, "epoch": 0.1620253164556962, "percentage": 3.25, "elapsed_time": "0:30:01", "remaining_time": "14:53:19"}
|
41 |
+
{"current_steps": 41, "total_steps": 1230, "loss": 0.7182, "lr": 1.3333333333333333e-05, "epoch": 0.1660759493670886, "percentage": 3.33, "elapsed_time": "0:30:44", "remaining_time": "14:51:33"}
|
42 |
+
{"current_steps": 42, "total_steps": 1230, "loss": 0.7299, "lr": 1.3658536585365855e-05, "epoch": 0.17012658227848101, "percentage": 3.41, "elapsed_time": "0:31:28", "remaining_time": "14:50:26"}
|
43 |
+
{"current_steps": 43, "total_steps": 1230, "loss": 0.7202, "lr": 1.3983739837398376e-05, "epoch": 0.17417721518987342, "percentage": 3.5, "elapsed_time": "0:32:14", "remaining_time": "14:49:52"}
|
44 |
+
{"current_steps": 44, "total_steps": 1230, "loss": 0.7062, "lr": 1.4308943089430896e-05, "epoch": 0.17822784810126582, "percentage": 3.58, "elapsed_time": "0:32:59", "remaining_time": "14:49:12"}
|
45 |
+
{"current_steps": 45, "total_steps": 1230, "loss": 0.697, "lr": 1.4634146341463415e-05, "epoch": 0.18227848101265823, "percentage": 3.66, "elapsed_time": "0:33:45", "remaining_time": "14:48:57"}
|
46 |
+
{"current_steps": 46, "total_steps": 1230, "loss": 0.7294, "lr": 1.4959349593495935e-05, "epoch": 0.18632911392405063, "percentage": 3.74, "elapsed_time": "0:34:30", "remaining_time": "14:48:19"}
|
47 |
+
{"current_steps": 47, "total_steps": 1230, "loss": 0.7188, "lr": 1.528455284552846e-05, "epoch": 0.19037974683544304, "percentage": 3.82, "elapsed_time": "0:35:13", "remaining_time": "14:46:34"}
|
48 |
+
{"current_steps": 48, "total_steps": 1230, "loss": 0.7113, "lr": 1.5609756097560978e-05, "epoch": 0.19443037974683544, "percentage": 3.9, "elapsed_time": "0:35:57", "remaining_time": "14:45:33"}
|
49 |
+
{"current_steps": 49, "total_steps": 1230, "loss": 0.6906, "lr": 1.5934959349593496e-05, "epoch": 0.19848101265822785, "percentage": 3.98, "elapsed_time": "0:36:42", "remaining_time": "14:44:40"}
|
50 |
+
{"current_steps": 50, "total_steps": 1230, "loss": 0.7138, "lr": 1.6260162601626018e-05, "epoch": 0.20253164556962025, "percentage": 4.07, "elapsed_time": "0:37:28", "remaining_time": "14:44:30"}
|
51 |
+
{"current_steps": 51, "total_steps": 1230, "loss": 0.6686, "lr": 1.6585365853658537e-05, "epoch": 0.20658227848101265, "percentage": 4.15, "elapsed_time": "0:38:13", "remaining_time": "14:43:33"}
|
52 |
+
{"current_steps": 52, "total_steps": 1230, "loss": 0.6933, "lr": 1.691056910569106e-05, "epoch": 0.21063291139240506, "percentage": 4.23, "elapsed_time": "0:38:59", "remaining_time": "14:43:09"}
|
53 |
+
{"current_steps": 53, "total_steps": 1230, "loss": 0.693, "lr": 1.7235772357723578e-05, "epoch": 0.21468354430379746, "percentage": 4.31, "elapsed_time": "0:39:44", "remaining_time": "14:42:44"}
|
54 |
+
{"current_steps": 54, "total_steps": 1230, "loss": 0.7011, "lr": 1.75609756097561e-05, "epoch": 0.21873417721518987, "percentage": 4.39, "elapsed_time": "0:40:29", "remaining_time": "14:41:57"}
|
55 |
+
{"current_steps": 55, "total_steps": 1230, "loss": 0.7008, "lr": 1.788617886178862e-05, "epoch": 0.22278481012658227, "percentage": 4.47, "elapsed_time": "0:41:15", "remaining_time": "14:41:25"}
|
56 |
+
{"current_steps": 56, "total_steps": 1230, "loss": 0.6942, "lr": 1.821138211382114e-05, "epoch": 0.22683544303797468, "percentage": 4.55, "elapsed_time": "0:41:59", "remaining_time": "14:40:22"}
|
57 |
+
{"current_steps": 57, "total_steps": 1230, "loss": 0.6976, "lr": 1.8536585365853663e-05, "epoch": 0.23088607594936708, "percentage": 4.63, "elapsed_time": "0:42:45", "remaining_time": "14:39:55"}
|
58 |
+
{"current_steps": 58, "total_steps": 1230, "loss": 0.7019, "lr": 1.886178861788618e-05, "epoch": 0.23493670886075949, "percentage": 4.72, "elapsed_time": "0:43:32", "remaining_time": "14:39:59"}
|
59 |
+
{"current_steps": 59, "total_steps": 1230, "loss": 0.6994, "lr": 1.91869918699187e-05, "epoch": 0.2389873417721519, "percentage": 4.8, "elapsed_time": "0:44:18", "remaining_time": "14:39:21"}
|
60 |
+
{"current_steps": 60, "total_steps": 1230, "loss": 0.684, "lr": 1.9512195121951222e-05, "epoch": 0.2430379746835443, "percentage": 4.88, "elapsed_time": "0:45:03", "remaining_time": "14:38:42"}
|
61 |
+
{"current_steps": 61, "total_steps": 1230, "loss": 0.6892, "lr": 1.983739837398374e-05, "epoch": 0.2470886075949367, "percentage": 4.96, "elapsed_time": "0:45:46", "remaining_time": "14:37:04"}
|
62 |
+
{"current_steps": 62, "total_steps": 1230, "loss": 0.6781, "lr": 2.016260162601626e-05, "epoch": 0.25113924050632913, "percentage": 5.04, "elapsed_time": "0:46:30", "remaining_time": "14:36:07"}
|
63 |
+
{"current_steps": 63, "total_steps": 1230, "loss": 0.6763, "lr": 2.048780487804878e-05, "epoch": 0.25518987341772154, "percentage": 5.12, "elapsed_time": "0:47:16", "remaining_time": "14:35:33"}
|
64 |
+
{"current_steps": 64, "total_steps": 1230, "loss": 0.6834, "lr": 2.0813008130081303e-05, "epoch": 0.25924050632911394, "percentage": 5.2, "elapsed_time": "0:48:00", "remaining_time": "14:34:38"}
|
65 |
+
{"current_steps": 65, "total_steps": 1230, "loss": 0.6996, "lr": 2.1138211382113822e-05, "epoch": 0.26329113924050634, "percentage": 5.28, "elapsed_time": "0:48:44", "remaining_time": "14:33:31"}
|
66 |
+
{"current_steps": 66, "total_steps": 1230, "loss": 0.7031, "lr": 2.1463414634146344e-05, "epoch": 0.26734177215189875, "percentage": 5.37, "elapsed_time": "0:49:29", "remaining_time": "14:32:49"}
|
67 |
+
{"current_steps": 67, "total_steps": 1230, "loss": 0.6695, "lr": 2.1788617886178863e-05, "epoch": 0.27139240506329115, "percentage": 5.45, "elapsed_time": "0:50:14", "remaining_time": "14:32:03"}
|
68 |
+
{"current_steps": 68, "total_steps": 1230, "loss": 0.6947, "lr": 2.2113821138211385e-05, "epoch": 0.27544303797468356, "percentage": 5.53, "elapsed_time": "0:50:59", "remaining_time": "14:31:15"}
|
69 |
+
{"current_steps": 69, "total_steps": 1230, "loss": 0.674, "lr": 2.2439024390243907e-05, "epoch": 0.27949367088607596, "percentage": 5.61, "elapsed_time": "0:51:43", "remaining_time": "14:30:26"}
|
70 |
+
{"current_steps": 70, "total_steps": 1230, "loss": 0.6815, "lr": 2.2764227642276426e-05, "epoch": 0.28354430379746837, "percentage": 5.69, "elapsed_time": "0:52:27", "remaining_time": "14:29:17"}
|
71 |
+
{"current_steps": 71, "total_steps": 1230, "loss": 0.6687, "lr": 2.3089430894308948e-05, "epoch": 0.28759493670886077, "percentage": 5.77, "elapsed_time": "0:53:11", "remaining_time": "14:28:25"}
|
72 |
+
{"current_steps": 72, "total_steps": 1230, "loss": 0.689, "lr": 2.3414634146341463e-05, "epoch": 0.2916455696202532, "percentage": 5.85, "elapsed_time": "0:53:55", "remaining_time": "14:27:16"}
|
73 |
+
{"current_steps": 73, "total_steps": 1230, "loss": 0.6687, "lr": 2.3739837398373985e-05, "epoch": 0.2956962025316456, "percentage": 5.93, "elapsed_time": "0:54:39", "remaining_time": "14:26:25"}
|
74 |
+
{"current_steps": 74, "total_steps": 1230, "loss": 0.6827, "lr": 2.4065040650406507e-05, "epoch": 0.299746835443038, "percentage": 6.02, "elapsed_time": "0:55:23", "remaining_time": "14:25:14"}
|
75 |
+
{"current_steps": 75, "total_steps": 1230, "loss": 0.6739, "lr": 2.4390243902439026e-05, "epoch": 0.3037974683544304, "percentage": 6.1, "elapsed_time": "0:56:08", "remaining_time": "14:24:27"}
|
76 |
+
{"current_steps": 76, "total_steps": 1230, "loss": 0.6892, "lr": 2.4715447154471548e-05, "epoch": 0.3078481012658228, "percentage": 6.18, "elapsed_time": "0:56:50", "remaining_time": "14:22:58"}
|
77 |
+
{"current_steps": 77, "total_steps": 1230, "loss": 0.6769, "lr": 2.5040650406504066e-05, "epoch": 0.3118987341772152, "percentage": 6.26, "elapsed_time": "0:57:36", "remaining_time": "14:22:32"}
|
78 |
+
{"current_steps": 78, "total_steps": 1230, "loss": 0.6752, "lr": 2.536585365853659e-05, "epoch": 0.3159493670886076, "percentage": 6.34, "elapsed_time": "0:58:23", "remaining_time": "14:22:21"}
|
79 |
+
{"current_steps": 79, "total_steps": 1230, "loss": 0.6633, "lr": 2.569105691056911e-05, "epoch": 0.32, "percentage": 6.42, "elapsed_time": "0:59:08", "remaining_time": "14:21:35"}
|
80 |
+
{"current_steps": 80, "total_steps": 1230, "loss": 0.6682, "lr": 2.601626016260163e-05, "epoch": 0.3240506329113924, "percentage": 6.5, "elapsed_time": "0:59:53", "remaining_time": "14:21:01"}
|
81 |
+
{"current_steps": 81, "total_steps": 1230, "loss": 0.6757, "lr": 2.634146341463415e-05, "epoch": 0.3281012658227848, "percentage": 6.59, "elapsed_time": "1:00:38", "remaining_time": "14:20:10"}
|
82 |
+
{"current_steps": 82, "total_steps": 1230, "loss": 0.6878, "lr": 2.6666666666666667e-05, "epoch": 0.3321518987341772, "percentage": 6.67, "elapsed_time": "1:01:23", "remaining_time": "14:19:28"}
|
83 |
+
{"current_steps": 83, "total_steps": 1230, "loss": 0.6708, "lr": 2.699186991869919e-05, "epoch": 0.3362025316455696, "percentage": 6.75, "elapsed_time": "1:02:07", "remaining_time": "14:18:26"}
|
84 |
+
{"current_steps": 84, "total_steps": 1230, "loss": 0.6641, "lr": 2.731707317073171e-05, "epoch": 0.34025316455696203, "percentage": 6.83, "elapsed_time": "1:02:50", "remaining_time": "14:17:19"}
|
85 |
+
{"current_steps": 85, "total_steps": 1230, "loss": 0.6719, "lr": 2.764227642276423e-05, "epoch": 0.34430379746835443, "percentage": 6.91, "elapsed_time": "1:03:34", "remaining_time": "14:16:19"}
|
86 |
+
{"current_steps": 86, "total_steps": 1230, "loss": 0.6747, "lr": 2.796747967479675e-05, "epoch": 0.34835443037974684, "percentage": 6.99, "elapsed_time": "1:04:19", "remaining_time": "14:15:46"}
|
87 |
+
{"current_steps": 87, "total_steps": 1230, "loss": 0.6662, "lr": 2.829268292682927e-05, "epoch": 0.35240506329113924, "percentage": 7.07, "elapsed_time": "1:05:04", "remaining_time": "14:14:53"}
|
88 |
+
{"current_steps": 88, "total_steps": 1230, "loss": 0.6556, "lr": 2.8617886178861792e-05, "epoch": 0.35645569620253165, "percentage": 7.15, "elapsed_time": "1:05:47", "remaining_time": "14:13:41"}
|
89 |
+
{"current_steps": 89, "total_steps": 1230, "loss": 0.6728, "lr": 2.8943089430894314e-05, "epoch": 0.36050632911392405, "percentage": 7.24, "elapsed_time": "1:06:32", "remaining_time": "14:13:09"}
|
90 |
+
{"current_steps": 90, "total_steps": 1230, "loss": 0.6666, "lr": 2.926829268292683e-05, "epoch": 0.36455696202531646, "percentage": 7.32, "elapsed_time": "1:07:18", "remaining_time": "14:12:37"}
|
91 |
+
{"current_steps": 91, "total_steps": 1230, "loss": 0.6876, "lr": 2.959349593495935e-05, "epoch": 0.36860759493670886, "percentage": 7.4, "elapsed_time": "1:08:03", "remaining_time": "14:11:53"}
|
92 |
+
{"current_steps": 92, "total_steps": 1230, "loss": 0.6706, "lr": 2.991869918699187e-05, "epoch": 0.37265822784810126, "percentage": 7.48, "elapsed_time": "1:08:46", "remaining_time": "14:10:43"}
|
93 |
+
{"current_steps": 93, "total_steps": 1230, "loss": 0.6682, "lr": 3.0243902439024392e-05, "epoch": 0.37670886075949367, "percentage": 7.56, "elapsed_time": "1:09:31", "remaining_time": "14:09:54"}
|
94 |
+
{"current_steps": 94, "total_steps": 1230, "loss": 0.6707, "lr": 3.056910569105692e-05, "epoch": 0.3807594936708861, "percentage": 7.64, "elapsed_time": "1:10:17", "remaining_time": "14:09:27"}
|
95 |
+
{"current_steps": 95, "total_steps": 1230, "loss": 0.6751, "lr": 3.089430894308943e-05, "epoch": 0.3848101265822785, "percentage": 7.72, "elapsed_time": "1:11:02", "remaining_time": "14:08:47"}
|
96 |
+
{"current_steps": 96, "total_steps": 1230, "loss": 0.6691, "lr": 3.1219512195121955e-05, "epoch": 0.3888607594936709, "percentage": 7.8, "elapsed_time": "1:11:46", "remaining_time": "14:07:55"}
|
97 |
+
{"current_steps": 97, "total_steps": 1230, "loss": 0.6706, "lr": 3.154471544715447e-05, "epoch": 0.3929113924050633, "percentage": 7.89, "elapsed_time": "1:12:32", "remaining_time": "14:07:14"}
|
98 |
+
{"current_steps": 98, "total_steps": 1230, "loss": 0.6576, "lr": 3.186991869918699e-05, "epoch": 0.3969620253164557, "percentage": 7.97, "elapsed_time": "1:13:15", "remaining_time": "14:06:16"}
|
99 |
+
{"current_steps": 99, "total_steps": 1230, "loss": 0.6718, "lr": 3.2195121951219514e-05, "epoch": 0.4010126582278481, "percentage": 8.05, "elapsed_time": "1:14:01", "remaining_time": "14:05:38"}
|
100 |
+
{"current_steps": 100, "total_steps": 1230, "loss": 0.661, "lr": 3.2520325203252037e-05, "epoch": 0.4050632911392405, "percentage": 8.13, "elapsed_time": "1:14:47", "remaining_time": "14:05:05"}
|
101 |
+
{"current_steps": 101, "total_steps": 1230, "loss": 0.673, "lr": 3.284552845528456e-05, "epoch": 0.4091139240506329, "percentage": 8.21, "elapsed_time": "1:15:33", "remaining_time": "14:04:36"}
|
102 |
+
{"current_steps": 102, "total_steps": 1230, "loss": 0.6682, "lr": 3.3170731707317074e-05, "epoch": 0.4131645569620253, "percentage": 8.29, "elapsed_time": "1:16:19", "remaining_time": "14:03:59"}
|
103 |
+
{"current_steps": 103, "total_steps": 1230, "loss": 0.677, "lr": 3.3495934959349596e-05, "epoch": 0.4172151898734177, "percentage": 8.37, "elapsed_time": "1:17:02", "remaining_time": "14:03:01"}
|
104 |
+
{"current_steps": 104, "total_steps": 1230, "loss": 0.6675, "lr": 3.382113821138212e-05, "epoch": 0.4212658227848101, "percentage": 8.46, "elapsed_time": "1:17:46", "remaining_time": "14:02:07"}
|
105 |
+
{"current_steps": 105, "total_steps": 1230, "loss": 0.6719, "lr": 3.414634146341463e-05, "epoch": 0.4253164556962025, "percentage": 8.54, "elapsed_time": "1:18:31", "remaining_time": "14:01:25"}
|
106 |
+
{"current_steps": 106, "total_steps": 1230, "loss": 0.6576, "lr": 3.4471544715447155e-05, "epoch": 0.4293670886075949, "percentage": 8.62, "elapsed_time": "1:19:17", "remaining_time": "14:00:44"}
|
107 |
+
{"current_steps": 107, "total_steps": 1230, "loss": 0.648, "lr": 3.479674796747968e-05, "epoch": 0.43341772151898733, "percentage": 8.7, "elapsed_time": "1:20:01", "remaining_time": "13:59:56"}
|
108 |
+
{"current_steps": 108, "total_steps": 1230, "loss": 0.6689, "lr": 3.51219512195122e-05, "epoch": 0.43746835443037974, "percentage": 8.78, "elapsed_time": "1:20:47", "remaining_time": "13:59:23"}
|
109 |
+
{"current_steps": 109, "total_steps": 1230, "loss": 0.6444, "lr": 3.544715447154472e-05, "epoch": 0.44151898734177214, "percentage": 8.86, "elapsed_time": "1:21:33", "remaining_time": "13:58:42"}
|
110 |
+
{"current_steps": 110, "total_steps": 1230, "loss": 0.6825, "lr": 3.577235772357724e-05, "epoch": 0.44556962025316454, "percentage": 8.94, "elapsed_time": "1:22:16", "remaining_time": "13:57:37"}
|
111 |
+
{"current_steps": 111, "total_steps": 1230, "loss": 0.6751, "lr": 3.609756097560976e-05, "epoch": 0.44962025316455695, "percentage": 9.02, "elapsed_time": "1:22:59", "remaining_time": "13:56:38"}
|
112 |
+
{"current_steps": 112, "total_steps": 1230, "loss": 0.6673, "lr": 3.642276422764228e-05, "epoch": 0.45367088607594935, "percentage": 9.11, "elapsed_time": "1:23:44", "remaining_time": "13:55:53"}
|
113 |
+
{"current_steps": 113, "total_steps": 1230, "loss": 0.6649, "lr": 3.67479674796748e-05, "epoch": 0.45772151898734176, "percentage": 9.19, "elapsed_time": "1:24:27", "remaining_time": "13:54:51"}
|
114 |
+
{"current_steps": 114, "total_steps": 1230, "loss": 0.6521, "lr": 3.7073170731707325e-05, "epoch": 0.46177215189873416, "percentage": 9.27, "elapsed_time": "1:25:13", "remaining_time": "13:54:18"}
|
115 |
+
{"current_steps": 115, "total_steps": 1230, "loss": 0.6641, "lr": 3.739837398373984e-05, "epoch": 0.46582278481012657, "percentage": 9.35, "elapsed_time": "1:25:56", "remaining_time": "13:53:18"}
|
116 |
+
{"current_steps": 116, "total_steps": 1230, "loss": 0.655, "lr": 3.772357723577236e-05, "epoch": 0.46987341772151897, "percentage": 9.43, "elapsed_time": "1:26:40", "remaining_time": "13:52:24"}
|
117 |
+
{"current_steps": 117, "total_steps": 1230, "loss": 0.6571, "lr": 3.804878048780488e-05, "epoch": 0.4739240506329114, "percentage": 9.51, "elapsed_time": "1:27:20", "remaining_time": "13:50:53"}
|
118 |
+
{"current_steps": 118, "total_steps": 1230, "loss": 0.6561, "lr": 3.83739837398374e-05, "epoch": 0.4779746835443038, "percentage": 9.59, "elapsed_time": "1:28:04", "remaining_time": "13:49:55"}
|
119 |
+
{"current_steps": 119, "total_steps": 1230, "loss": 0.6556, "lr": 3.869918699186992e-05, "epoch": 0.4820253164556962, "percentage": 9.67, "elapsed_time": "1:28:48", "remaining_time": "13:49:03"}
|
120 |
+
{"current_steps": 120, "total_steps": 1230, "loss": 0.6529, "lr": 3.9024390243902444e-05, "epoch": 0.4860759493670886, "percentage": 9.76, "elapsed_time": "1:29:32", "remaining_time": "13:48:12"}
|
121 |
+
{"current_steps": 121, "total_steps": 1230, "loss": 0.6544, "lr": 3.9349593495934966e-05, "epoch": 0.490126582278481, "percentage": 9.84, "elapsed_time": "1:30:17", "remaining_time": "13:47:32"}
|
122 |
+
{"current_steps": 122, "total_steps": 1230, "loss": 0.6587, "lr": 3.967479674796748e-05, "epoch": 0.4941772151898734, "percentage": 9.92, "elapsed_time": "1:31:02", "remaining_time": "13:46:54"}
|
123 |
+
{"current_steps": 123, "total_steps": 1230, "loss": 0.6453, "lr": 4e-05, "epoch": 0.4982278481012658, "percentage": 10.0, "elapsed_time": "1:31:44", "remaining_time": "13:45:41"}
|
124 |
+
{"current_steps": 124, "total_steps": 1230, "loss": 0.6513, "lr": 3.999991946137476e-05, "epoch": 0.5022784810126583, "percentage": 10.08, "elapsed_time": "1:32:28", "remaining_time": "13:44:52"}
|
125 |
+
{"current_steps": 125, "total_steps": 1230, "loss": 0.6568, "lr": 3.999967784614766e-05, "epoch": 0.5063291139240507, "percentage": 10.16, "elapsed_time": "1:33:14", "remaining_time": "13:44:12"}
|
126 |
+
{"current_steps": 126, "total_steps": 1230, "loss": 0.6524, "lr": 3.9999275156264656e-05, "epoch": 0.5103797468354431, "percentage": 10.24, "elapsed_time": "1:33:59", "remaining_time": "13:43:32"}
|
127 |
+
{"current_steps": 127, "total_steps": 1230, "loss": 0.6387, "lr": 3.999871139496895e-05, "epoch": 0.5144303797468355, "percentage": 10.33, "elapsed_time": "1:34:44", "remaining_time": "13:42:49"}
|
128 |
+
{"current_steps": 128, "total_steps": 1230, "loss": 0.6661, "lr": 3.9997986566800995e-05, "epoch": 0.5184810126582279, "percentage": 10.41, "elapsed_time": "1:35:29", "remaining_time": "13:42:11"}
|
129 |
+
{"current_steps": 129, "total_steps": 1230, "loss": 0.6542, "lr": 3.999710067759846e-05, "epoch": 0.5225316455696203, "percentage": 10.49, "elapsed_time": "1:36:13", "remaining_time": "13:41:19"}
|
130 |
+
{"current_steps": 130, "total_steps": 1230, "loss": 0.6478, "lr": 3.999605373449617e-05, "epoch": 0.5265822784810127, "percentage": 10.57, "elapsed_time": "1:36:57", "remaining_time": "13:40:21"}
|
131 |
+
{"current_steps": 131, "total_steps": 1230, "loss": 0.6611, "lr": 3.9994845745926075e-05, "epoch": 0.5306329113924051, "percentage": 10.65, "elapsed_time": "1:37:40", "remaining_time": "13:39:21"}
|
132 |
+
{"current_steps": 132, "total_steps": 1230, "loss": 0.6658, "lr": 3.999347672161713e-05, "epoch": 0.5346835443037975, "percentage": 10.73, "elapsed_time": "1:38:25", "remaining_time": "13:38:45"}
|
133 |
+
{"current_steps": 133, "total_steps": 1230, "loss": 0.6323, "lr": 3.999194667259528e-05, "epoch": 0.5387341772151899, "percentage": 10.81, "elapsed_time": "1:39:11", "remaining_time": "13:38:11"}
|
134 |
+
{"current_steps": 134, "total_steps": 1230, "loss": 0.6464, "lr": 3.999025561118334e-05, "epoch": 0.5427848101265823, "percentage": 10.89, "elapsed_time": "1:39:57", "remaining_time": "13:37:31"}
|
135 |
+
{"current_steps": 135, "total_steps": 1230, "loss": 0.6512, "lr": 3.998840355100086e-05, "epoch": 0.5468354430379747, "percentage": 10.98, "elapsed_time": "1:40:41", "remaining_time": "13:36:39"}
|
136 |
+
{"current_steps": 136, "total_steps": 1230, "loss": 0.6479, "lr": 3.998639050696409e-05, "epoch": 0.5508860759493671, "percentage": 11.06, "elapsed_time": "1:41:24", "remaining_time": "13:35:42"}
|
137 |
+
{"current_steps": 137, "total_steps": 1230, "loss": 0.6512, "lr": 3.998421649528582e-05, "epoch": 0.5549367088607595, "percentage": 11.14, "elapsed_time": "1:42:10", "remaining_time": "13:35:07"}
|
138 |
+
{"current_steps": 138, "total_steps": 1230, "loss": 0.6415, "lr": 3.9981881533475234e-05, "epoch": 0.5589873417721519, "percentage": 11.22, "elapsed_time": "1:42:55", "remaining_time": "13:34:24"}
|
139 |
+
{"current_steps": 139, "total_steps": 1230, "loss": 0.6559, "lr": 3.997938564033779e-05, "epoch": 0.5630379746835443, "percentage": 11.3, "elapsed_time": "1:43:39", "remaining_time": "13:33:35"}
|
140 |
+
{"current_steps": 140, "total_steps": 1230, "loss": 0.6585, "lr": 3.9976728835975064e-05, "epoch": 0.5670886075949367, "percentage": 11.38, "elapsed_time": "1:44:25", "remaining_time": "13:33:00"}
|
141 |
+
{"current_steps": 141, "total_steps": 1230, "loss": 0.6604, "lr": 3.9973911141784605e-05, "epoch": 0.5711392405063291, "percentage": 11.46, "elapsed_time": "1:45:11", "remaining_time": "13:32:27"}
|
142 |
+
{"current_steps": 142, "total_steps": 1230, "loss": 0.6319, "lr": 3.997093258045973e-05, "epoch": 0.5751898734177215, "percentage": 11.54, "elapsed_time": "1:45:55", "remaining_time": "13:31:34"}
|
143 |
+
{"current_steps": 143, "total_steps": 1230, "loss": 0.6461, "lr": 3.996779317598936e-05, "epoch": 0.579240506329114, "percentage": 11.63, "elapsed_time": "1:46:39", "remaining_time": "13:30:47"}
|
144 |
+
{"current_steps": 144, "total_steps": 1230, "loss": 0.6369, "lr": 3.996449295365782e-05, "epoch": 0.5832911392405064, "percentage": 11.71, "elapsed_time": "1:47:25", "remaining_time": "13:30:11"}
|
145 |
+
{"current_steps": 145, "total_steps": 1230, "loss": 0.6391, "lr": 3.996103194004467e-05, "epoch": 0.5873417721518988, "percentage": 11.79, "elapsed_time": "1:48:11", "remaining_time": "13:29:35"}
|
146 |
+
{"current_steps": 146, "total_steps": 1230, "loss": 0.6675, "lr": 3.995741016302441e-05, "epoch": 0.5913924050632912, "percentage": 11.87, "elapsed_time": "1:48:56", "remaining_time": "13:28:50"}
|
147 |
+
{"current_steps": 147, "total_steps": 1230, "loss": 0.6533, "lr": 3.9953627651766364e-05, "epoch": 0.5954430379746836, "percentage": 11.95, "elapsed_time": "1:49:39", "remaining_time": "13:27:55"}
|
148 |
+
{"current_steps": 148, "total_steps": 1230, "loss": 0.6443, "lr": 3.9949684436734325e-05, "epoch": 0.599493670886076, "percentage": 12.03, "elapsed_time": "1:50:26", "remaining_time": "13:27:21"}
|
149 |
+
{"current_steps": 149, "total_steps": 1230, "loss": 0.6388, "lr": 3.994558054968643e-05, "epoch": 0.6035443037974684, "percentage": 12.11, "elapsed_time": "1:51:08", "remaining_time": "13:26:16"}
|
150 |
+
{"current_steps": 150, "total_steps": 1230, "loss": 0.6426, "lr": 3.994131602367481e-05, "epoch": 0.6075949367088608, "percentage": 12.2, "elapsed_time": "1:51:49", "remaining_time": "13:25:04"}
|
151 |
+
{"current_steps": 151, "total_steps": 1230, "loss": 0.6525, "lr": 3.9936890893045376e-05, "epoch": 0.6116455696202532, "percentage": 12.28, "elapsed_time": "1:52:35", "remaining_time": "13:24:32"}
|
152 |
+
{"current_steps": 152, "total_steps": 1230, "loss": 0.635, "lr": 3.993230519343752e-05, "epoch": 0.6156962025316456, "percentage": 12.36, "elapsed_time": "1:53:21", "remaining_time": "13:23:59"}
|
153 |
+
{"current_steps": 153, "total_steps": 1230, "loss": 0.6555, "lr": 3.992755896178383e-05, "epoch": 0.619746835443038, "percentage": 12.44, "elapsed_time": "1:54:07", "remaining_time": "13:23:23"}
|
154 |
+
{"current_steps": 154, "total_steps": 1230, "loss": 0.6359, "lr": 3.992265223630981e-05, "epoch": 0.6237974683544304, "percentage": 12.52, "elapsed_time": "1:54:52", "remaining_time": "13:22:34"}
|
155 |
+
{"current_steps": 155, "total_steps": 1230, "loss": 0.6349, "lr": 3.991758505653355e-05, "epoch": 0.6278481012658228, "percentage": 12.6, "elapsed_time": "1:55:37", "remaining_time": "13:21:51"}
|
156 |
+
{"current_steps": 156, "total_steps": 1230, "loss": 0.6274, "lr": 3.991235746326543e-05, "epoch": 0.6318987341772152, "percentage": 12.68, "elapsed_time": "1:56:23", "remaining_time": "13:21:17"}
|
157 |
+
{"current_steps": 157, "total_steps": 1230, "loss": 0.6315, "lr": 3.9906969498607745e-05, "epoch": 0.6359493670886076, "percentage": 12.76, "elapsed_time": "1:57:07", "remaining_time": "13:20:26"}
|
158 |
+
{"current_steps": 158, "total_steps": 1230, "loss": 0.6355, "lr": 3.990142120595444e-05, "epoch": 0.64, "percentage": 12.85, "elapsed_time": "1:57:51", "remaining_time": "13:19:35"}
|
159 |
+
{"current_steps": 159, "total_steps": 1230, "loss": 0.6302, "lr": 3.98957126299907e-05, "epoch": 0.6440506329113924, "percentage": 12.93, "elapsed_time": "1:58:35", "remaining_time": "13:18:51"}
|
160 |
+
{"current_steps": 160, "total_steps": 1230, "loss": 0.639, "lr": 3.9889843816692596e-05, "epoch": 0.6481012658227848, "percentage": 13.01, "elapsed_time": "1:59:20", "remaining_time": "13:18:06"}
|
161 |
+
{"current_steps": 161, "total_steps": 1230, "loss": 0.6282, "lr": 3.9883814813326766e-05, "epoch": 0.6521518987341772, "percentage": 13.09, "elapsed_time": "2:00:04", "remaining_time": "13:17:14"}
|
162 |
+
{"current_steps": 162, "total_steps": 1230, "loss": 0.6512, "lr": 3.9877625668449956e-05, "epoch": 0.6562025316455696, "percentage": 13.17, "elapsed_time": "2:00:49", "remaining_time": "13:16:31"}
|
163 |
+
{"current_steps": 163, "total_steps": 1230, "loss": 0.6254, "lr": 3.98712764319087e-05, "epoch": 0.660253164556962, "percentage": 13.25, "elapsed_time": "2:01:34", "remaining_time": "13:15:51"}
|
164 |
+
{"current_steps": 164, "total_steps": 1230, "loss": 0.6359, "lr": 3.9864767154838864e-05, "epoch": 0.6643037974683544, "percentage": 13.33, "elapsed_time": "2:02:17", "remaining_time": "13:14:55"}
|
165 |
+
{"current_steps": 165, "total_steps": 1230, "loss": 0.6556, "lr": 3.9858097889665277e-05, "epoch": 0.6683544303797468, "percentage": 13.41, "elapsed_time": "2:03:01", "remaining_time": "13:14:02"}
|
166 |
+
{"current_steps": 166, "total_steps": 1230, "loss": 0.6303, "lr": 3.985126869010129e-05, "epoch": 0.6724050632911392, "percentage": 13.5, "elapsed_time": "2:03:46", "remaining_time": "13:13:22"}
|
167 |
+
{"current_steps": 167, "total_steps": 1230, "loss": 0.6279, "lr": 3.984427961114833e-05, "epoch": 0.6764556962025317, "percentage": 13.58, "elapsed_time": "2:04:32", "remaining_time": "13:12:45"}
|
168 |
+
{"current_steps": 168, "total_steps": 1230, "loss": 0.6221, "lr": 3.9837130709095475e-05, "epoch": 0.6805063291139241, "percentage": 13.66, "elapsed_time": "2:05:16", "remaining_time": "13:11:52"}
|
169 |
+
{"current_steps": 169, "total_steps": 1230, "loss": 0.6332, "lr": 3.982982204151901e-05, "epoch": 0.6845569620253165, "percentage": 13.74, "elapsed_time": "2:06:01", "remaining_time": "13:11:12"}
|
170 |
+
{"current_steps": 170, "total_steps": 1230, "loss": 0.6319, "lr": 3.982235366728193e-05, "epoch": 0.6886075949367089, "percentage": 13.82, "elapsed_time": "2:06:47", "remaining_time": "13:10:35"}
|
171 |
+
{"current_steps": 171, "total_steps": 1230, "loss": 0.6411, "lr": 3.9814725646533505e-05, "epoch": 0.6926582278481013, "percentage": 13.9, "elapsed_time": "2:07:31", "remaining_time": "13:09:45"}
|
172 |
+
{"current_steps": 172, "total_steps": 1230, "loss": 0.6338, "lr": 3.9806938040708746e-05, "epoch": 0.6967088607594937, "percentage": 13.98, "elapsed_time": "2:08:15", "remaining_time": "13:08:58"}
|
173 |
+
{"current_steps": 173, "total_steps": 1230, "loss": 0.6295, "lr": 3.9798990912527976e-05, "epoch": 0.7007594936708861, "percentage": 14.07, "elapsed_time": "2:09:02", "remaining_time": "13:08:26"}
|
174 |
+
{"current_steps": 174, "total_steps": 1230, "loss": 0.6385, "lr": 3.979088432599627e-05, "epoch": 0.7048101265822785, "percentage": 14.15, "elapsed_time": "2:09:46", "remaining_time": "13:07:37"}
|
175 |
+
{"current_steps": 175, "total_steps": 1230, "loss": 0.6424, "lr": 3.9782618346402964e-05, "epoch": 0.7088607594936709, "percentage": 14.23, "elapsed_time": "2:10:30", "remaining_time": "13:06:47"}
|
176 |
+
{"current_steps": 176, "total_steps": 1230, "loss": 0.6291, "lr": 3.977419304032111e-05, "epoch": 0.7129113924050633, "percentage": 14.31, "elapsed_time": "2:11:15", "remaining_time": "13:06:03"}
|
177 |
+
{"current_steps": 177, "total_steps": 1230, "loss": 0.6381, "lr": 3.976560847560697e-05, "epoch": 0.7169620253164557, "percentage": 14.39, "elapsed_time": "2:12:00", "remaining_time": "13:05:19"}
|
178 |
+
{"current_steps": 178, "total_steps": 1230, "loss": 0.6414, "lr": 3.9756864721399456e-05, "epoch": 0.7210126582278481, "percentage": 14.47, "elapsed_time": "2:12:47", "remaining_time": "13:04:48"}
|
179 |
+
{"current_steps": 179, "total_steps": 1230, "loss": 0.6281, "lr": 3.974796184811956e-05, "epoch": 0.7250632911392405, "percentage": 14.55, "elapsed_time": "2:13:31", "remaining_time": "13:04:02"}
|
180 |
+
{"current_steps": 180, "total_steps": 1230, "loss": 0.639, "lr": 3.973889992746979e-05, "epoch": 0.7291139240506329, "percentage": 14.63, "elapsed_time": "2:14:18", "remaining_time": "13:03:26"}
|
181 |
+
{"current_steps": 181, "total_steps": 1230, "loss": 0.6233, "lr": 3.972967903243361e-05, "epoch": 0.7331645569620253, "percentage": 14.72, "elapsed_time": "2:15:03", "remaining_time": "13:02:45"}
|
182 |
+
{"current_steps": 182, "total_steps": 1230, "loss": 0.6343, "lr": 3.972029923727486e-05, "epoch": 0.7372151898734177, "percentage": 14.8, "elapsed_time": "2:15:49", "remaining_time": "13:02:08"}
|
183 |
+
{"current_steps": 183, "total_steps": 1230, "loss": 0.6286, "lr": 3.971076061753709e-05, "epoch": 0.7412658227848101, "percentage": 14.88, "elapsed_time": "2:16:34", "remaining_time": "13:01:20"}
|
184 |
+
{"current_steps": 184, "total_steps": 1230, "loss": 0.6212, "lr": 3.9701063250043066e-05, "epoch": 0.7453164556962025, "percentage": 14.96, "elapsed_time": "2:17:18", "remaining_time": "13:00:34"}
|
185 |
+
{"current_steps": 185, "total_steps": 1230, "loss": 0.6333, "lr": 3.969120721289402e-05, "epoch": 0.7493670886075949, "percentage": 15.04, "elapsed_time": "2:18:02", "remaining_time": "12:59:46"}
|
186 |
+
{"current_steps": 186, "total_steps": 1230, "loss": 0.6405, "lr": 3.9681192585469146e-05, "epoch": 0.7534177215189873, "percentage": 15.12, "elapsed_time": "2:18:49", "remaining_time": "12:59:10"}
|
187 |
+
{"current_steps": 187, "total_steps": 1230, "loss": 0.6249, "lr": 3.9671019448424865e-05, "epoch": 0.7574683544303797, "percentage": 15.2, "elapsed_time": "2:19:32", "remaining_time": "12:58:20"}
|
188 |
+
{"current_steps": 188, "total_steps": 1230, "loss": 0.6357, "lr": 3.966068788369422e-05, "epoch": 0.7615189873417721, "percentage": 15.28, "elapsed_time": "2:20:18", "remaining_time": "12:57:37"}
|
189 |
+
{"current_steps": 189, "total_steps": 1230, "loss": 0.6277, "lr": 3.965019797448622e-05, "epoch": 0.7655696202531646, "percentage": 15.37, "elapsed_time": "2:21:02", "remaining_time": "12:56:52"}
|
190 |
+
{"current_steps": 190, "total_steps": 1230, "loss": 0.6295, "lr": 3.963954980528515e-05, "epoch": 0.769620253164557, "percentage": 15.45, "elapsed_time": "2:21:46", "remaining_time": "12:56:02"}
|
191 |
+
{"current_steps": 191, "total_steps": 1230, "loss": 0.6287, "lr": 3.9628743461849905e-05, "epoch": 0.7736708860759494, "percentage": 15.53, "elapsed_time": "2:22:31", "remaining_time": "12:55:16"}
|
192 |
+
{"current_steps": 192, "total_steps": 1230, "loss": 0.6402, "lr": 3.961777903121329e-05, "epoch": 0.7777215189873418, "percentage": 15.61, "elapsed_time": "2:23:15", "remaining_time": "12:54:29"}
|
193 |
+
{"current_steps": 193, "total_steps": 1230, "loss": 0.6399, "lr": 3.960665660168131e-05, "epoch": 0.7817721518987342, "percentage": 15.69, "elapsed_time": "2:24:00", "remaining_time": "12:53:46"}
|
194 |
+
{"current_steps": 194, "total_steps": 1230, "loss": 0.6465, "lr": 3.9595376262832485e-05, "epoch": 0.7858227848101266, "percentage": 15.77, "elapsed_time": "2:24:45", "remaining_time": "12:53:01"}
|
195 |
+
{"current_steps": 195, "total_steps": 1230, "loss": 0.6369, "lr": 3.9583938105517127e-05, "epoch": 0.789873417721519, "percentage": 15.85, "elapsed_time": "2:25:32", "remaining_time": "12:52:27"}
|
196 |
+
{"current_steps": 196, "total_steps": 1230, "loss": 0.6406, "lr": 3.957234222185657e-05, "epoch": 0.7939240506329114, "percentage": 15.93, "elapsed_time": "2:26:17", "remaining_time": "12:51:44"}
|
197 |
+
{"current_steps": 197, "total_steps": 1230, "loss": 0.6417, "lr": 3.9560588705242474e-05, "epoch": 0.7979746835443038, "percentage": 16.02, "elapsed_time": "2:27:01", "remaining_time": "12:50:56"}
|
198 |
+
{"current_steps": 198, "total_steps": 1230, "loss": 0.636, "lr": 3.954867765033605e-05, "epoch": 0.8020253164556962, "percentage": 16.1, "elapsed_time": "2:27:44", "remaining_time": "12:50:04"}
|
199 |
+
{"current_steps": 199, "total_steps": 1230, "loss": 0.6388, "lr": 3.953660915306728e-05, "epoch": 0.8060759493670886, "percentage": 16.18, "elapsed_time": "2:28:28", "remaining_time": "12:49:15"}
|
200 |
+
{"current_steps": 200, "total_steps": 1230, "loss": 0.6147, "lr": 3.952438331063419e-05, "epoch": 0.810126582278481, "percentage": 16.26, "elapsed_time": "2:29:14", "remaining_time": "12:48:35"}
|
201 |
+
{"current_steps": 201, "total_steps": 1230, "loss": 0.6287, "lr": 3.951200022150205e-05, "epoch": 0.8141772151898734, "percentage": 16.34, "elapsed_time": "2:30:00", "remaining_time": "12:47:56"}
|
202 |
+
{"current_steps": 202, "total_steps": 1230, "loss": 0.6274, "lr": 3.949945998540253e-05, "epoch": 0.8182278481012658, "percentage": 16.42, "elapsed_time": "2:30:42", "remaining_time": "12:46:59"}
|
203 |
+
{"current_steps": 203, "total_steps": 1230, "loss": 0.6239, "lr": 3.9486762703332993e-05, "epoch": 0.8222784810126582, "percentage": 16.5, "elapsed_time": "2:31:27", "remaining_time": "12:46:15"}
|
204 |
+
{"current_steps": 204, "total_steps": 1230, "loss": 0.6204, "lr": 3.947390847755559e-05, "epoch": 0.8263291139240506, "percentage": 16.59, "elapsed_time": "2:32:12", "remaining_time": "12:45:31"}
|
205 |
+
{"current_steps": 205, "total_steps": 1230, "loss": 0.6216, "lr": 3.946089741159648e-05, "epoch": 0.830379746835443, "percentage": 16.67, "elapsed_time": "2:32:55", "remaining_time": "12:44:39"}
|
206 |
+
{"current_steps": 206, "total_steps": 1230, "loss": 0.6096, "lr": 3.944772961024501e-05, "epoch": 0.8344303797468354, "percentage": 16.75, "elapsed_time": "2:33:41", "remaining_time": "12:43:57"}
|
207 |
+
{"current_steps": 207, "total_steps": 1230, "loss": 0.6394, "lr": 3.943440517955285e-05, "epoch": 0.8384810126582278, "percentage": 16.83, "elapsed_time": "2:34:24", "remaining_time": "12:43:04"}
|
208 |
+
{"current_steps": 208, "total_steps": 1230, "loss": 0.6261, "lr": 3.9420924226833126e-05, "epoch": 0.8425316455696202, "percentage": 16.91, "elapsed_time": "2:35:10", "remaining_time": "12:42:26"}
|
209 |
+
{"current_steps": 209, "total_steps": 1230, "loss": 0.6226, "lr": 3.9407286860659566e-05, "epoch": 0.8465822784810126, "percentage": 16.99, "elapsed_time": "2:35:54", "remaining_time": "12:41:40"}
|
210 |
+
{"current_steps": 210, "total_steps": 1230, "loss": 0.6312, "lr": 3.9393493190865657e-05, "epoch": 0.850632911392405, "percentage": 17.07, "elapsed_time": "2:36:40", "remaining_time": "12:40:59"}
|
211 |
+
{"current_steps": 211, "total_steps": 1230, "loss": 0.6083, "lr": 3.937954332854371e-05, "epoch": 0.8546835443037974, "percentage": 17.15, "elapsed_time": "2:37:24", "remaining_time": "12:40:12"}
|
212 |
+
{"current_steps": 212, "total_steps": 1230, "loss": 0.615, "lr": 3.9365437386044016e-05, "epoch": 0.8587341772151899, "percentage": 17.24, "elapsed_time": "2:38:07", "remaining_time": "12:39:15"}
|
213 |
+
{"current_steps": 213, "total_steps": 1230, "loss": 0.6308, "lr": 3.935117547697387e-05, "epoch": 0.8627848101265823, "percentage": 17.32, "elapsed_time": "2:38:51", "remaining_time": "12:38:28"}
|
214 |
+
{"current_steps": 214, "total_steps": 1230, "loss": 0.6328, "lr": 3.933675771619675e-05, "epoch": 0.8668354430379747, "percentage": 17.4, "elapsed_time": "2:39:36", "remaining_time": "12:37:45"}
|
215 |
+
{"current_steps": 215, "total_steps": 1230, "loss": 0.6136, "lr": 3.932218421983131e-05, "epoch": 0.8708860759493671, "percentage": 17.48, "elapsed_time": "2:40:22", "remaining_time": "12:37:06"}
|
216 |
+
{"current_steps": 216, "total_steps": 1230, "loss": 0.62, "lr": 3.9307455105250484e-05, "epoch": 0.8749367088607595, "percentage": 17.56, "elapsed_time": "2:41:08", "remaining_time": "12:36:28"}
|
217 |
+
{"current_steps": 217, "total_steps": 1230, "loss": 0.621, "lr": 3.929257049108054e-05, "epoch": 0.8789873417721519, "percentage": 17.64, "elapsed_time": "2:41:53", "remaining_time": "12:35:45"}
|
218 |
+
{"current_steps": 218, "total_steps": 1230, "loss": 0.6185, "lr": 3.927753049720011e-05, "epoch": 0.8830379746835443, "percentage": 17.72, "elapsed_time": "2:42:39", "remaining_time": "12:35:07"}
|
219 |
+
{"current_steps": 219, "total_steps": 1230, "loss": 0.6229, "lr": 3.9262335244739234e-05, "epoch": 0.8870886075949367, "percentage": 17.8, "elapsed_time": "2:43:25", "remaining_time": "12:34:26"}
|
220 |
+
{"current_steps": 220, "total_steps": 1230, "loss": 0.6184, "lr": 3.92469848560784e-05, "epoch": 0.8911392405063291, "percentage": 17.89, "elapsed_time": "2:44:09", "remaining_time": "12:33:36"}
|
221 |
+
{"current_steps": 221, "total_steps": 1230, "loss": 0.6081, "lr": 3.923147945484751e-05, "epoch": 0.8951898734177215, "percentage": 17.97, "elapsed_time": "2:44:53", "remaining_time": "12:32:49"}
|
222 |
+
{"current_steps": 222, "total_steps": 1230, "loss": 0.6149, "lr": 3.9215819165924956e-05, "epoch": 0.8992405063291139, "percentage": 18.05, "elapsed_time": "2:45:38", "remaining_time": "12:32:05"}
|
223 |
+
{"current_steps": 223, "total_steps": 1230, "loss": 0.6274, "lr": 3.920000411543654e-05, "epoch": 0.9032911392405063, "percentage": 18.13, "elapsed_time": "2:46:23", "remaining_time": "12:31:23"}
|
224 |
+
{"current_steps": 224, "total_steps": 1230, "loss": 0.6134, "lr": 3.9184034430754495e-05, "epoch": 0.9073417721518987, "percentage": 18.21, "elapsed_time": "2:47:08", "remaining_time": "12:30:40"}
|
225 |
+
{"current_steps": 225, "total_steps": 1230, "loss": 0.6214, "lr": 3.916791024049648e-05, "epoch": 0.9113924050632911, "percentage": 18.29, "elapsed_time": "2:47:51", "remaining_time": "12:29:48"}
|
226 |
+
{"current_steps": 226, "total_steps": 1230, "loss": 0.6305, "lr": 3.91516316745245e-05, "epoch": 0.9154430379746835, "percentage": 18.37, "elapsed_time": "2:48:37", "remaining_time": "12:29:07"}
|
227 |
+
{"current_steps": 227, "total_steps": 1230, "loss": 0.6218, "lr": 3.913519886394389e-05, "epoch": 0.9194936708860759, "percentage": 18.46, "elapsed_time": "2:49:21", "remaining_time": "12:28:17"}
|
228 |
+
{"current_steps": 228, "total_steps": 1230, "loss": 0.625, "lr": 3.911861194110225e-05, "epoch": 0.9235443037974683, "percentage": 18.54, "elapsed_time": "2:50:06", "remaining_time": "12:27:34"}
|
229 |
+
{"current_steps": 229, "total_steps": 1230, "loss": 0.6269, "lr": 3.910187103958837e-05, "epoch": 0.9275949367088607, "percentage": 18.62, "elapsed_time": "2:50:51", "remaining_time": "12:26:49"}
|
230 |
+
{"current_steps": 230, "total_steps": 1230, "loss": 0.6287, "lr": 3.908497629423117e-05, "epoch": 0.9316455696202531, "percentage": 18.7, "elapsed_time": "2:51:34", "remaining_time": "12:25:57"}
|
231 |
+
{"current_steps": 231, "total_steps": 1230, "loss": 0.6628, "lr": 3.9067927841098614e-05, "epoch": 0.9356962025316455, "percentage": 18.78, "elapsed_time": "2:52:19", "remaining_time": "12:25:13"}
|
232 |
+
{"current_steps": 232, "total_steps": 1230, "loss": 0.62, "lr": 3.9050725817496594e-05, "epoch": 0.9397468354430379, "percentage": 18.86, "elapsed_time": "2:53:03", "remaining_time": "12:24:26"}
|
233 |
+
{"current_steps": 233, "total_steps": 1230, "loss": 0.6264, "lr": 3.9033370361967844e-05, "epoch": 0.9437974683544303, "percentage": 18.94, "elapsed_time": "2:53:48", "remaining_time": "12:23:41"}
|
234 |
+
{"current_steps": 234, "total_steps": 1230, "loss": 0.6224, "lr": 3.901586161429081e-05, "epoch": 0.9478481012658228, "percentage": 19.02, "elapsed_time": "2:54:33", "remaining_time": "12:23:00"}
|
235 |
+
{"current_steps": 235, "total_steps": 1230, "loss": 0.629, "lr": 3.8998199715478545e-05, "epoch": 0.9518987341772152, "percentage": 19.11, "elapsed_time": "2:55:16", "remaining_time": "12:22:06"}
|
236 |
+
{"current_steps": 236, "total_steps": 1230, "loss": 0.6148, "lr": 3.8980384807777564e-05, "epoch": 0.9559493670886076, "percentage": 19.19, "elapsed_time": "2:56:01", "remaining_time": "12:21:22"}
|
237 |
+
{"current_steps": 237, "total_steps": 1230, "loss": 0.6222, "lr": 3.896241703466667e-05, "epoch": 0.96, "percentage": 19.27, "elapsed_time": "2:56:45", "remaining_time": "12:20:34"}
|
238 |
+
{"current_steps": 238, "total_steps": 1230, "loss": 0.6289, "lr": 3.894429654085585e-05, "epoch": 0.9640506329113924, "percentage": 19.35, "elapsed_time": "2:57:28", "remaining_time": "12:19:42"}
|
239 |
+
{"current_steps": 239, "total_steps": 1230, "loss": 0.607, "lr": 3.892602347228505e-05, "epoch": 0.9681012658227848, "percentage": 19.43, "elapsed_time": "2:58:14", "remaining_time": "12:19:04"}
|
240 |
+
{"current_steps": 240, "total_steps": 1230, "loss": 0.6115, "lr": 3.890759797612307e-05, "epoch": 0.9721518987341772, "percentage": 19.51, "elapsed_time": "2:59:00", "remaining_time": "12:18:23"}
|
241 |
+
{"current_steps": 241, "total_steps": 1230, "loss": 0.6073, "lr": 3.888902020076632e-05, "epoch": 0.9762025316455696, "percentage": 19.59, "elapsed_time": "2:59:45", "remaining_time": "12:17:39"}
|
242 |
+
{"current_steps": 242, "total_steps": 1230, "loss": 0.6317, "lr": 3.887029029583764e-05, "epoch": 0.980253164556962, "percentage": 19.67, "elapsed_time": "3:00:31", "remaining_time": "12:17:03"}
|
243 |
+
{"current_steps": 243, "total_steps": 1230, "loss": 0.6209, "lr": 3.8851408412185125e-05, "epoch": 0.9843037974683544, "percentage": 19.76, "elapsed_time": "3:01:18", "remaining_time": "12:16:26"}
|
244 |
+
{"current_steps": 244, "total_steps": 1230, "loss": 0.614, "lr": 3.8832374701880855e-05, "epoch": 0.9883544303797468, "percentage": 19.84, "elapsed_time": "3:02:04", "remaining_time": "12:15:45"}
|
245 |
+
{"current_steps": 245, "total_steps": 1230, "loss": 0.6133, "lr": 3.881318931821972e-05, "epoch": 0.9924050632911392, "percentage": 19.92, "elapsed_time": "3:02:49", "remaining_time": "12:15:01"}
|
246 |
+
{"current_steps": 246, "total_steps": 1230, "loss": 0.6184, "lr": 3.879385241571817e-05, "epoch": 0.9964556962025316, "percentage": 20.0, "elapsed_time": "3:03:33", "remaining_time": "12:14:13"}
|
247 |
+
{"current_steps": 247, "total_steps": 1230, "loss": 0.6026, "lr": 3.8774364150112955e-05, "epoch": 1.000506329113924, "percentage": 20.08, "elapsed_time": "3:06:42", "remaining_time": "12:23:01"}
|
248 |
+
{"current_steps": 248, "total_steps": 1230, "loss": 0.5537, "lr": 3.8754724678359884e-05, "epoch": 1.0045569620253165, "percentage": 20.16, "elapsed_time": "3:07:27", "remaining_time": "12:22:16"}
|
249 |
+
{"current_steps": 249, "total_steps": 1230, "loss": 0.5746, "lr": 3.873493415863256e-05, "epoch": 1.0086075949367088, "percentage": 20.24, "elapsed_time": "3:08:14", "remaining_time": "12:21:36"}
|
250 |
+
{"current_steps": 250, "total_steps": 1230, "loss": 0.6032, "lr": 3.871499275032111e-05, "epoch": 1.0126582278481013, "percentage": 20.33, "elapsed_time": "3:08:58", "remaining_time": "12:20:46"}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d213d3b532a6c285b998f5e9a8e89a82cb7d0a28ec915f0ecde85a0d70f48b90
|
3 |
+
size 7224
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|