KublaiKhan1 commited on
Commit
3dae3fb
·
verified ·
1 Parent(s): 5447c20

Add files using upload-large-folder tool

Browse files
Files changed (27) hide show
  1. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/added_tokens.json +24 -0
  2. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/chat_template.jinja +54 -0
  3. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/config.json +59 -0
  4. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/generation_config.json +6 -0
  5. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/merges.txt +0 -0
  6. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/model.safetensors.index.json +347 -0
  7. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/special_tokens_map.json +31 -0
  8. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/tokenizer_config.json +208 -0
  9. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/trainer_state.json +0 -0
  10. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/vocab.json +0 -0
  11. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/added_tokens.json +24 -0
  12. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/chat_template.jinja +54 -0
  13. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/config.json +59 -0
  14. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/generation_config.json +6 -0
  15. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/merges.txt +0 -0
  16. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/model.safetensors.index.json +347 -0
  17. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/special_tokens_map.json +31 -0
  18. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/tokenizer_config.json +208 -0
  19. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/trainer_state.json +2624 -0
  20. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/vocab.json +0 -0
  21. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-555/tokenizer_config.json +208 -0
  22. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-555/trainer_state.json +0 -0
  23. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-740/added_tokens.json +24 -0
  24. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-740/generation_config.json +6 -0
  25. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-740/merges.txt +0 -0
  26. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-740/tokenizer_config.json +208 -0
  27. qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-740/vocab.json +0 -0
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/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
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'Please reason step by step, and put your final answer within \\boxed{}.' }}
7
+ {%- endif %}
8
+ {{- "\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>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\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" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/config.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
7
+ "eos_token_id": 151643,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 3584,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 18944,
12
+ "layer_types": [
13
+ "full_attention",
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention"
41
+ ],
42
+ "max_position_embeddings": 4096,
43
+ "max_window_layers": 28,
44
+ "model_type": "qwen2",
45
+ "num_attention_heads": 28,
46
+ "num_hidden_layers": 28,
47
+ "num_key_value_heads": 4,
48
+ "rms_norm_eps": 1e-06,
49
+ "rope_scaling": null,
50
+ "rope_theta": 10000,
51
+ "sliding_window": null,
52
+ "tie_word_embeddings": false,
53
+ "torch_dtype": "float32",
54
+ "transformers_version": "4.55.0",
55
+ "use_cache": false,
56
+ "use_mrope": false,
57
+ "use_sliding_window": false,
58
+ "vocab_size": 152064
59
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.55.0"
6
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/model.safetensors.index.json ADDED
@@ -0,0 +1,347 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 1903904128,
4
+ "total_size": 30462466048
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00007-of-00007.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00007.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
14
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
17
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
19
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
20
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
21
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
22
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
23
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
24
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
25
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
26
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
27
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
28
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
29
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
30
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
31
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
32
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
33
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
34
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
35
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
36
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
37
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
38
+ "model.layers.10.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
39
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
40
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
41
+ "model.layers.10.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
42
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
43
+ "model.layers.10.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
44
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
45
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
46
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
47
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
48
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
49
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
50
+ "model.layers.11.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
51
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
52
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
53
+ "model.layers.11.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
54
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
55
+ "model.layers.11.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
56
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
57
+ "model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
58
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
59
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
60
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
61
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
62
+ "model.layers.12.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
63
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
64
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
65
+ "model.layers.12.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
66
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
67
+ "model.layers.12.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
68
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
69
+ "model.layers.13.input_layernorm.weight": "model-00004-of-00007.safetensors",
70
+ "model.layers.13.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
71
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
72
+ "model.layers.13.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
73
+ "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
74
+ "model.layers.13.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
75
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
76
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
77
+ "model.layers.13.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
78
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
79
+ "model.layers.13.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
80
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
81
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
82
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
83
+ "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
84
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
85
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
86
+ "model.layers.14.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
87
+ "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
88
+ "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
89
+ "model.layers.14.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
90
+ "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
91
+ "model.layers.14.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
92
+ "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
93
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
94
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
95
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
96
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
97
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
98
+ "model.layers.15.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
99
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
100
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
101
+ "model.layers.15.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
102
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
103
+ "model.layers.15.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
104
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
105
+ "model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
106
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
107
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
108
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
109
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
110
+ "model.layers.16.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
111
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
112
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
113
+ "model.layers.16.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
114
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
115
+ "model.layers.16.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
116
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
117
+ "model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
118
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
119
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
120
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
121
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
122
+ "model.layers.17.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
123
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
124
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
125
+ "model.layers.17.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
126
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
127
+ "model.layers.17.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
128
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
129
+ "model.layers.18.input_layernorm.weight": "model-00005-of-00007.safetensors",
130
+ "model.layers.18.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
131
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
132
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
133
+ "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
134
+ "model.layers.18.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
135
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
136
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
137
+ "model.layers.18.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
138
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
139
+ "model.layers.18.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
140
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
141
+ "model.layers.19.input_layernorm.weight": "model-00005-of-00007.safetensors",
142
+ "model.layers.19.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
143
+ "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
144
+ "model.layers.19.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
145
+ "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
146
+ "model.layers.19.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
147
+ "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
148
+ "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
149
+ "model.layers.19.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
150
+ "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
151
+ "model.layers.19.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
152
+ "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
153
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
154
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
155
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
156
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
157
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
158
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
159
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
160
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
161
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
162
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
163
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
164
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
165
+ "model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
166
+ "model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
167
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
168
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
169
+ "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
170
+ "model.layers.20.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
171
+ "model.layers.20.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
172
+ "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
173
+ "model.layers.20.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
174
+ "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
175
+ "model.layers.20.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
176
+ "model.layers.20.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
177
+ "model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
178
+ "model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
179
+ "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
180
+ "model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
181
+ "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
182
+ "model.layers.21.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
183
+ "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
184
+ "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
185
+ "model.layers.21.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
186
+ "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
187
+ "model.layers.21.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
188
+ "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
189
+ "model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
190
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
191
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
192
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
193
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
194
+ "model.layers.22.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
195
+ "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
196
+ "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
197
+ "model.layers.22.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
198
+ "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
199
+ "model.layers.22.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
200
+ "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
201
+ "model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
202
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
203
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
204
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
205
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
206
+ "model.layers.23.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
207
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
208
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
209
+ "model.layers.23.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
210
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
211
+ "model.layers.23.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
212
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
213
+ "model.layers.24.input_layernorm.weight": "model-00006-of-00007.safetensors",
214
+ "model.layers.24.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
215
+ "model.layers.24.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
216
+ "model.layers.24.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
217
+ "model.layers.24.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
218
+ "model.layers.24.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
219
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
220
+ "model.layers.24.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
221
+ "model.layers.24.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
222
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
223
+ "model.layers.24.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
224
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
225
+ "model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
226
+ "model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
227
+ "model.layers.25.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
228
+ "model.layers.25.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
229
+ "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
230
+ "model.layers.25.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
231
+ "model.layers.25.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
232
+ "model.layers.25.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
233
+ "model.layers.25.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
234
+ "model.layers.25.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
235
+ "model.layers.25.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
236
+ "model.layers.25.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
237
+ "model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
238
+ "model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
239
+ "model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
240
+ "model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
241
+ "model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
242
+ "model.layers.26.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
243
+ "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
244
+ "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
245
+ "model.layers.26.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
246
+ "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
247
+ "model.layers.26.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
248
+ "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
249
+ "model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
250
+ "model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
251
+ "model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
252
+ "model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
253
+ "model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
254
+ "model.layers.27.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
255
+ "model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
256
+ "model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
257
+ "model.layers.27.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
258
+ "model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
259
+ "model.layers.27.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
260
+ "model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
261
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
262
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
263
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
264
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
265
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
266
+ "model.layers.3.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
267
+ "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
268
+ "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
269
+ "model.layers.3.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
271
+ "model.layers.3.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
272
+ "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
273
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
274
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
275
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
276
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
277
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
278
+ "model.layers.4.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
279
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
280
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
281
+ "model.layers.4.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
282
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
283
+ "model.layers.4.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
284
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
285
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
286
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
287
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
288
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
289
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
290
+ "model.layers.5.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
291
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
292
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
293
+ "model.layers.5.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
294
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
295
+ "model.layers.5.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
296
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
297
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
298
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
299
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
300
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
301
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
302
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
303
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
304
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
305
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
306
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
307
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
308
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
309
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
310
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
311
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
312
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
313
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
314
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
315
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
316
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
317
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
318
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
319
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
320
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
321
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
322
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
323
+ "model.layers.8.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
324
+ "model.layers.8.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
325
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
326
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
327
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
328
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
329
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
330
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
331
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
332
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
333
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
334
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
335
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
336
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
337
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
338
+ "model.layers.9.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
339
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
340
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
341
+ "model.layers.9.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
342
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
343
+ "model.layers.9.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
344
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
345
+ "model.norm.weight": "model-00006-of-00007.safetensors"
346
+ }
347
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/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": "<|im_end|>",
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
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/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
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|im_end|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
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
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-1110/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/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
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'Please reason step by step, and put your final answer within \\boxed{}.' }}
7
+ {%- endif %}
8
+ {{- "\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>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\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" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/config.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
7
+ "eos_token_id": 151643,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 3584,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 18944,
12
+ "layer_types": [
13
+ "full_attention",
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention"
41
+ ],
42
+ "max_position_embeddings": 4096,
43
+ "max_window_layers": 28,
44
+ "model_type": "qwen2",
45
+ "num_attention_heads": 28,
46
+ "num_hidden_layers": 28,
47
+ "num_key_value_heads": 4,
48
+ "rms_norm_eps": 1e-06,
49
+ "rope_scaling": null,
50
+ "rope_theta": 10000,
51
+ "sliding_window": null,
52
+ "tie_word_embeddings": false,
53
+ "torch_dtype": "float32",
54
+ "transformers_version": "4.55.0",
55
+ "use_cache": false,
56
+ "use_mrope": false,
57
+ "use_sliding_window": false,
58
+ "vocab_size": 152064
59
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.55.0"
6
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/model.safetensors.index.json ADDED
@@ -0,0 +1,347 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 1903904128,
4
+ "total_size": 30462466048
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00007-of-00007.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00007.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
14
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
17
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
19
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
20
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
21
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
22
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
23
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
24
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
25
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
26
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
27
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
28
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
29
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
30
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
31
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
32
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
33
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
34
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
35
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
36
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
37
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
38
+ "model.layers.10.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
39
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
40
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
41
+ "model.layers.10.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
42
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
43
+ "model.layers.10.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
44
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
45
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
46
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
47
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
48
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
49
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
50
+ "model.layers.11.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
51
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
52
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
53
+ "model.layers.11.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
54
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
55
+ "model.layers.11.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
56
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
57
+ "model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
58
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
59
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
60
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
61
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
62
+ "model.layers.12.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
63
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
64
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
65
+ "model.layers.12.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
66
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
67
+ "model.layers.12.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
68
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
69
+ "model.layers.13.input_layernorm.weight": "model-00004-of-00007.safetensors",
70
+ "model.layers.13.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
71
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
72
+ "model.layers.13.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
73
+ "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
74
+ "model.layers.13.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
75
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
76
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
77
+ "model.layers.13.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
78
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
79
+ "model.layers.13.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
80
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
81
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
82
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
83
+ "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
84
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
85
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
86
+ "model.layers.14.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
87
+ "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
88
+ "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
89
+ "model.layers.14.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
90
+ "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
91
+ "model.layers.14.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
92
+ "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
93
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
94
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
95
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
96
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
97
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
98
+ "model.layers.15.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
99
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
100
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
101
+ "model.layers.15.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
102
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
103
+ "model.layers.15.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
104
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
105
+ "model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
106
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
107
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
108
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
109
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
110
+ "model.layers.16.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
111
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
112
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
113
+ "model.layers.16.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
114
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
115
+ "model.layers.16.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
116
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
117
+ "model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
118
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
119
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
120
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
121
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
122
+ "model.layers.17.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
123
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
124
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
125
+ "model.layers.17.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
126
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
127
+ "model.layers.17.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
128
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
129
+ "model.layers.18.input_layernorm.weight": "model-00005-of-00007.safetensors",
130
+ "model.layers.18.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
131
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
132
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
133
+ "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
134
+ "model.layers.18.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
135
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
136
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
137
+ "model.layers.18.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
138
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
139
+ "model.layers.18.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
140
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
141
+ "model.layers.19.input_layernorm.weight": "model-00005-of-00007.safetensors",
142
+ "model.layers.19.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
143
+ "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
144
+ "model.layers.19.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
145
+ "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
146
+ "model.layers.19.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
147
+ "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
148
+ "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
149
+ "model.layers.19.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
150
+ "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
151
+ "model.layers.19.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
152
+ "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
153
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
154
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
155
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
156
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
157
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
158
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
159
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
160
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
161
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
162
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
163
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
164
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
165
+ "model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
166
+ "model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
167
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
168
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
169
+ "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
170
+ "model.layers.20.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
171
+ "model.layers.20.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
172
+ "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
173
+ "model.layers.20.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
174
+ "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
175
+ "model.layers.20.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
176
+ "model.layers.20.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
177
+ "model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
178
+ "model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
179
+ "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
180
+ "model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
181
+ "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
182
+ "model.layers.21.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
183
+ "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
184
+ "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
185
+ "model.layers.21.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
186
+ "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
187
+ "model.layers.21.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
188
+ "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
189
+ "model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
190
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
191
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
192
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
193
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
194
+ "model.layers.22.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
195
+ "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
196
+ "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
197
+ "model.layers.22.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
198
+ "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
199
+ "model.layers.22.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
200
+ "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
201
+ "model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
202
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
203
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
204
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
205
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
206
+ "model.layers.23.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
207
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
208
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
209
+ "model.layers.23.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
210
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
211
+ "model.layers.23.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
212
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
213
+ "model.layers.24.input_layernorm.weight": "model-00006-of-00007.safetensors",
214
+ "model.layers.24.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
215
+ "model.layers.24.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
216
+ "model.layers.24.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
217
+ "model.layers.24.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
218
+ "model.layers.24.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
219
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
220
+ "model.layers.24.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
221
+ "model.layers.24.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
222
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
223
+ "model.layers.24.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
224
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
225
+ "model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
226
+ "model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
227
+ "model.layers.25.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
228
+ "model.layers.25.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
229
+ "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
230
+ "model.layers.25.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
231
+ "model.layers.25.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
232
+ "model.layers.25.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
233
+ "model.layers.25.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
234
+ "model.layers.25.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
235
+ "model.layers.25.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
236
+ "model.layers.25.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
237
+ "model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
238
+ "model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
239
+ "model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
240
+ "model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
241
+ "model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
242
+ "model.layers.26.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
243
+ "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
244
+ "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
245
+ "model.layers.26.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
246
+ "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
247
+ "model.layers.26.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
248
+ "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
249
+ "model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
250
+ "model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
251
+ "model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
252
+ "model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
253
+ "model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
254
+ "model.layers.27.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
255
+ "model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
256
+ "model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
257
+ "model.layers.27.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
258
+ "model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
259
+ "model.layers.27.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
260
+ "model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
261
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
262
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
263
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
264
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
265
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
266
+ "model.layers.3.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
267
+ "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
268
+ "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
269
+ "model.layers.3.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
271
+ "model.layers.3.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
272
+ "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
273
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
274
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
275
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
276
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
277
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
278
+ "model.layers.4.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
279
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
280
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
281
+ "model.layers.4.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
282
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
283
+ "model.layers.4.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
284
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
285
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
286
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
287
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
288
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
289
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
290
+ "model.layers.5.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
291
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
292
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
293
+ "model.layers.5.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
294
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
295
+ "model.layers.5.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
296
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
297
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
298
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
299
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
300
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
301
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
302
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
303
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
304
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
305
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
306
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
307
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
308
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
309
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
310
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
311
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
312
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
313
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
314
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
315
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
316
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
317
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
318
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
319
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
320
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
321
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
322
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
323
+ "model.layers.8.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
324
+ "model.layers.8.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
325
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
326
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
327
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
328
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
329
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
330
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
331
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
332
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
333
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
334
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
335
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
336
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
337
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
338
+ "model.layers.9.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
339
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
340
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
341
+ "model.layers.9.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
342
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
343
+ "model.layers.9.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
344
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
345
+ "model.norm.weight": "model-00006-of-00007.safetensors"
346
+ }
347
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/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": "<|im_end|>",
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
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/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
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|im_end|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
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
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/trainer_state.json ADDED
@@ -0,0 +1,2624 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.0,
6
+ "eval_steps": 500,
7
+ "global_step": 370,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.005405405405405406,
14
+ "grad_norm": 78.63217163085938,
15
+ "learning_rate": 5e-06,
16
+ "loss": 2.7635,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.010810810810810811,
21
+ "grad_norm": 27.708316802978516,
22
+ "learning_rate": 4.999996395324314e-06,
23
+ "loss": 2.7339,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.016216216216216217,
28
+ "grad_norm": 24.762720108032227,
29
+ "learning_rate": 4.99998558130765e-06,
30
+ "loss": 2.3952,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.021621621621621623,
35
+ "grad_norm": 26.583744049072266,
36
+ "learning_rate": 4.999967557981192e-06,
37
+ "loss": 1.4821,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.02702702702702703,
42
+ "grad_norm": 16.896203994750977,
43
+ "learning_rate": 4.999942325396917e-06,
44
+ "loss": 1.4242,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.032432432432432434,
49
+ "grad_norm": 13.155165672302246,
50
+ "learning_rate": 4.999909883627588e-06,
51
+ "loss": 2.4389,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.03783783783783784,
56
+ "grad_norm": 12.320788383483887,
57
+ "learning_rate": 4.999870232766757e-06,
58
+ "loss": 1.8709,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.043243243243243246,
63
+ "grad_norm": 7.270501613616943,
64
+ "learning_rate": 4.9998233729287696e-06,
65
+ "loss": 1.5871,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.04864864864864865,
70
+ "grad_norm": 5.697365760803223,
71
+ "learning_rate": 4.999769304248755e-06,
72
+ "loss": 1.0785,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.05405405405405406,
77
+ "grad_norm": 16.292892456054688,
78
+ "learning_rate": 4.9997080268826344e-06,
79
+ "loss": 1.6701,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.05945945945945946,
84
+ "grad_norm": 36.01885986328125,
85
+ "learning_rate": 4.9996395410071165e-06,
86
+ "loss": 1.8603,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.06486486486486487,
91
+ "grad_norm": 31.915246963500977,
92
+ "learning_rate": 4.999563846819696e-06,
93
+ "loss": 2.038,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.07027027027027027,
98
+ "grad_norm": 3.964094877243042,
99
+ "learning_rate": 4.999480944538655e-06,
100
+ "loss": 0.9312,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.07567567567567568,
105
+ "grad_norm": 23.320648193359375,
106
+ "learning_rate": 4.999390834403063e-06,
107
+ "loss": 1.9005,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.08108108108108109,
112
+ "grad_norm": 5.1429057121276855,
113
+ "learning_rate": 4.999293516672773e-06,
114
+ "loss": 0.9078,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.08648648648648649,
119
+ "grad_norm": 2.4826178550720215,
120
+ "learning_rate": 4.9991889916284255e-06,
121
+ "loss": 0.8057,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.0918918918918919,
126
+ "grad_norm": 3.98654842376709,
127
+ "learning_rate": 4.999077259571442e-06,
128
+ "loss": 0.9436,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.0972972972972973,
133
+ "grad_norm": 22.15365219116211,
134
+ "learning_rate": 4.998958320824031e-06,
135
+ "loss": 1.478,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.10270270270270271,
140
+ "grad_norm": 9.486699104309082,
141
+ "learning_rate": 4.998832175729179e-06,
142
+ "loss": 1.8966,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.10810810810810811,
147
+ "grad_norm": 9.013836860656738,
148
+ "learning_rate": 4.998698824650656e-06,
149
+ "loss": 1.8402,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.11351351351351352,
154
+ "grad_norm": 39.21315002441406,
155
+ "learning_rate": 4.998558267973014e-06,
156
+ "loss": 1.1227,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.11891891891891893,
161
+ "grad_norm": 20.890426635742188,
162
+ "learning_rate": 4.998410506101579e-06,
163
+ "loss": 0.9309,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.12432432432432433,
168
+ "grad_norm": 19.61101531982422,
169
+ "learning_rate": 4.9982555394624595e-06,
170
+ "loss": 1.8963,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.12972972972972974,
175
+ "grad_norm": 10.83933162689209,
176
+ "learning_rate": 4.998093368502539e-06,
177
+ "loss": 0.964,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.13513513513513514,
182
+ "grad_norm": 19.919424057006836,
183
+ "learning_rate": 4.9979239936894765e-06,
184
+ "loss": 1.4579,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.14054054054054055,
189
+ "grad_norm": 10.502922058105469,
190
+ "learning_rate": 4.997747415511705e-06,
191
+ "loss": 1.3954,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.14594594594594595,
196
+ "grad_norm": 15.285176277160645,
197
+ "learning_rate": 4.997563634478428e-06,
198
+ "loss": 1.0577,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.15135135135135136,
203
+ "grad_norm": 11.349671363830566,
204
+ "learning_rate": 4.997372651119626e-06,
205
+ "loss": 1.4808,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.15675675675675677,
210
+ "grad_norm": 15.758721351623535,
211
+ "learning_rate": 4.997174465986044e-06,
212
+ "loss": 1.1012,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.16216216216216217,
217
+ "grad_norm": 7.796172142028809,
218
+ "learning_rate": 4.996969079649196e-06,
219
+ "loss": 1.1064,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.16756756756756758,
224
+ "grad_norm": 2.869138717651367,
225
+ "learning_rate": 4.996756492701362e-06,
226
+ "loss": 0.6699,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.17297297297297298,
231
+ "grad_norm": 12.780915260314941,
232
+ "learning_rate": 4.996536705755591e-06,
233
+ "loss": 1.3504,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.1783783783783784,
238
+ "grad_norm": 2.2263433933258057,
239
+ "learning_rate": 4.996309719445687e-06,
240
+ "loss": 0.7585,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.1837837837837838,
245
+ "grad_norm": 3.9796619415283203,
246
+ "learning_rate": 4.996075534426223e-06,
247
+ "loss": 1.2611,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.1891891891891892,
252
+ "grad_norm": 5.736868858337402,
253
+ "learning_rate": 4.995834151372526e-06,
254
+ "loss": 1.3599,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.1945945945945946,
259
+ "grad_norm": 2.9812746047973633,
260
+ "learning_rate": 4.995585570980685e-06,
261
+ "loss": 1.1093,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.2,
266
+ "grad_norm": 1.6916205883026123,
267
+ "learning_rate": 4.995329793967537e-06,
268
+ "loss": 0.4889,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.20540540540540542,
273
+ "grad_norm": 2.769890546798706,
274
+ "learning_rate": 4.9950668210706795e-06,
275
+ "loss": 0.6824,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.21081081081081082,
280
+ "grad_norm": 5.050839424133301,
281
+ "learning_rate": 4.994796653048457e-06,
282
+ "loss": 1.2035,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.21621621621621623,
287
+ "grad_norm": 4.95888090133667,
288
+ "learning_rate": 4.994519290679965e-06,
289
+ "loss": 1.4668,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.22162162162162163,
294
+ "grad_norm": 6.040585517883301,
295
+ "learning_rate": 4.994234734765043e-06,
296
+ "loss": 1.6085,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.22702702702702704,
301
+ "grad_norm": 7.767123222351074,
302
+ "learning_rate": 4.993942986124278e-06,
303
+ "loss": 1.39,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.23243243243243245,
308
+ "grad_norm": 6.319382190704346,
309
+ "learning_rate": 4.9936440455989975e-06,
310
+ "loss": 1.0364,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.23783783783783785,
315
+ "grad_norm": 2.3983147144317627,
316
+ "learning_rate": 4.993337914051266e-06,
317
+ "loss": 0.737,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.24324324324324326,
322
+ "grad_norm": 4.674798488616943,
323
+ "learning_rate": 4.99302459236389e-06,
324
+ "loss": 1.2512,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.24864864864864866,
329
+ "grad_norm": 2.3627684116363525,
330
+ "learning_rate": 4.992704081440407e-06,
331
+ "loss": 0.6782,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.25405405405405407,
336
+ "grad_norm": 15.385477066040039,
337
+ "learning_rate": 4.992376382205088e-06,
338
+ "loss": 1.201,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.2594594594594595,
343
+ "grad_norm": 6.076968193054199,
344
+ "learning_rate": 4.992041495602932e-06,
345
+ "loss": 0.9149,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.2648648648648649,
350
+ "grad_norm": 7.318037509918213,
351
+ "learning_rate": 4.991699422599664e-06,
352
+ "loss": 1.0142,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.2702702702702703,
357
+ "grad_norm": 3.163944721221924,
358
+ "learning_rate": 4.991350164181735e-06,
359
+ "loss": 0.9923,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.2756756756756757,
364
+ "grad_norm": 2.2014901638031006,
365
+ "learning_rate": 4.990993721356317e-06,
366
+ "loss": 0.6446,
367
+ "step": 51
368
+ },
369
+ {
370
+ "epoch": 0.2810810810810811,
371
+ "grad_norm": 3.6509268283843994,
372
+ "learning_rate": 4.990630095151296e-06,
373
+ "loss": 0.7804,
374
+ "step": 52
375
+ },
376
+ {
377
+ "epoch": 0.2864864864864865,
378
+ "grad_norm": 4.066473960876465,
379
+ "learning_rate": 4.9902592866152765e-06,
380
+ "loss": 1.0884,
381
+ "step": 53
382
+ },
383
+ {
384
+ "epoch": 0.2918918918918919,
385
+ "grad_norm": 3.2463412284851074,
386
+ "learning_rate": 4.989881296817575e-06,
387
+ "loss": 0.5619,
388
+ "step": 54
389
+ },
390
+ {
391
+ "epoch": 0.2972972972972973,
392
+ "grad_norm": 6.820196151733398,
393
+ "learning_rate": 4.989496126848215e-06,
394
+ "loss": 0.6638,
395
+ "step": 55
396
+ },
397
+ {
398
+ "epoch": 0.3027027027027027,
399
+ "grad_norm": 6.08866024017334,
400
+ "learning_rate": 4.989103777817928e-06,
401
+ "loss": 1.2486,
402
+ "step": 56
403
+ },
404
+ {
405
+ "epoch": 0.3081081081081081,
406
+ "grad_norm": 2.7928466796875,
407
+ "learning_rate": 4.988704250858145e-06,
408
+ "loss": 0.802,
409
+ "step": 57
410
+ },
411
+ {
412
+ "epoch": 0.31351351351351353,
413
+ "grad_norm": 3.675384759902954,
414
+ "learning_rate": 4.988297547121e-06,
415
+ "loss": 0.7766,
416
+ "step": 58
417
+ },
418
+ {
419
+ "epoch": 0.31891891891891894,
420
+ "grad_norm": 1.9281094074249268,
421
+ "learning_rate": 4.98788366777932e-06,
422
+ "loss": 0.7413,
423
+ "step": 59
424
+ },
425
+ {
426
+ "epoch": 0.32432432432432434,
427
+ "grad_norm": 2.18445086479187,
428
+ "learning_rate": 4.987462614026625e-06,
429
+ "loss": 0.7119,
430
+ "step": 60
431
+ },
432
+ {
433
+ "epoch": 0.32972972972972975,
434
+ "grad_norm": 2.401505470275879,
435
+ "learning_rate": 4.987034387077126e-06,
436
+ "loss": 0.912,
437
+ "step": 61
438
+ },
439
+ {
440
+ "epoch": 0.33513513513513515,
441
+ "grad_norm": 1.9759217500686646,
442
+ "learning_rate": 4.986598988165718e-06,
443
+ "loss": 0.7033,
444
+ "step": 62
445
+ },
446
+ {
447
+ "epoch": 0.34054054054054056,
448
+ "grad_norm": 2.379051446914673,
449
+ "learning_rate": 4.9861564185479785e-06,
450
+ "loss": 1.0077,
451
+ "step": 63
452
+ },
453
+ {
454
+ "epoch": 0.34594594594594597,
455
+ "grad_norm": 2.2416727542877197,
456
+ "learning_rate": 4.985706679500163e-06,
457
+ "loss": 1.0596,
458
+ "step": 64
459
+ },
460
+ {
461
+ "epoch": 0.35135135135135137,
462
+ "grad_norm": 1.7597417831420898,
463
+ "learning_rate": 4.9852497723192025e-06,
464
+ "loss": 0.6992,
465
+ "step": 65
466
+ },
467
+ {
468
+ "epoch": 0.3567567567567568,
469
+ "grad_norm": 2.1375234127044678,
470
+ "learning_rate": 4.9847856983227e-06,
471
+ "loss": 0.8843,
472
+ "step": 66
473
+ },
474
+ {
475
+ "epoch": 0.3621621621621622,
476
+ "grad_norm": 2.3949384689331055,
477
+ "learning_rate": 4.984314458848923e-06,
478
+ "loss": 0.854,
479
+ "step": 67
480
+ },
481
+ {
482
+ "epoch": 0.3675675675675676,
483
+ "grad_norm": 2.4123735427856445,
484
+ "learning_rate": 4.983836055256804e-06,
485
+ "loss": 1.0356,
486
+ "step": 68
487
+ },
488
+ {
489
+ "epoch": 0.372972972972973,
490
+ "grad_norm": 1.8289475440979004,
491
+ "learning_rate": 4.983350488925935e-06,
492
+ "loss": 0.75,
493
+ "step": 69
494
+ },
495
+ {
496
+ "epoch": 0.3783783783783784,
497
+ "grad_norm": 2.1158368587493896,
498
+ "learning_rate": 4.982857761256564e-06,
499
+ "loss": 1.2026,
500
+ "step": 70
501
+ },
502
+ {
503
+ "epoch": 0.3837837837837838,
504
+ "grad_norm": 1.7453099489212036,
505
+ "learning_rate": 4.982357873669589e-06,
506
+ "loss": 0.6454,
507
+ "step": 71
508
+ },
509
+ {
510
+ "epoch": 0.3891891891891892,
511
+ "grad_norm": 2.037487506866455,
512
+ "learning_rate": 4.981850827606556e-06,
513
+ "loss": 0.5643,
514
+ "step": 72
515
+ },
516
+ {
517
+ "epoch": 0.3945945945945946,
518
+ "grad_norm": 2.228943347930908,
519
+ "learning_rate": 4.981336624529655e-06,
520
+ "loss": 0.903,
521
+ "step": 73
522
+ },
523
+ {
524
+ "epoch": 0.4,
525
+ "grad_norm": 2.1828980445861816,
526
+ "learning_rate": 4.980815265921714e-06,
527
+ "loss": 0.9792,
528
+ "step": 74
529
+ },
530
+ {
531
+ "epoch": 0.40540540540540543,
532
+ "grad_norm": 4.449514389038086,
533
+ "learning_rate": 4.980286753286196e-06,
534
+ "loss": 0.9531,
535
+ "step": 75
536
+ },
537
+ {
538
+ "epoch": 0.41081081081081083,
539
+ "grad_norm": 2.368612289428711,
540
+ "learning_rate": 4.979751088147192e-06,
541
+ "loss": 0.9634,
542
+ "step": 76
543
+ },
544
+ {
545
+ "epoch": 0.41621621621621624,
546
+ "grad_norm": 2.282456398010254,
547
+ "learning_rate": 4.979208272049425e-06,
548
+ "loss": 0.9235,
549
+ "step": 77
550
+ },
551
+ {
552
+ "epoch": 0.42162162162162165,
553
+ "grad_norm": 3.1332085132598877,
554
+ "learning_rate": 4.978658306558235e-06,
555
+ "loss": 1.2019,
556
+ "step": 78
557
+ },
558
+ {
559
+ "epoch": 0.42702702702702705,
560
+ "grad_norm": 1.516359567642212,
561
+ "learning_rate": 4.978101193259578e-06,
562
+ "loss": 0.6964,
563
+ "step": 79
564
+ },
565
+ {
566
+ "epoch": 0.43243243243243246,
567
+ "grad_norm": 1.8565927743911743,
568
+ "learning_rate": 4.977536933760025e-06,
569
+ "loss": 0.5298,
570
+ "step": 80
571
+ },
572
+ {
573
+ "epoch": 0.43783783783783786,
574
+ "grad_norm": 4.340814590454102,
575
+ "learning_rate": 4.976965529686755e-06,
576
+ "loss": 0.9392,
577
+ "step": 81
578
+ },
579
+ {
580
+ "epoch": 0.44324324324324327,
581
+ "grad_norm": 2.269435405731201,
582
+ "learning_rate": 4.976386982687548e-06,
583
+ "loss": 0.7797,
584
+ "step": 82
585
+ },
586
+ {
587
+ "epoch": 0.4486486486486487,
588
+ "grad_norm": 4.28403377532959,
589
+ "learning_rate": 4.9758012944307845e-06,
590
+ "loss": 1.0735,
591
+ "step": 83
592
+ },
593
+ {
594
+ "epoch": 0.4540540540540541,
595
+ "grad_norm": 2.3271920680999756,
596
+ "learning_rate": 4.975208466605436e-06,
597
+ "loss": 1.1424,
598
+ "step": 84
599
+ },
600
+ {
601
+ "epoch": 0.4594594594594595,
602
+ "grad_norm": 1.7080214023590088,
603
+ "learning_rate": 4.974608500921064e-06,
604
+ "loss": 0.7765,
605
+ "step": 85
606
+ },
607
+ {
608
+ "epoch": 0.4648648648648649,
609
+ "grad_norm": 2.293596029281616,
610
+ "learning_rate": 4.974001399107816e-06,
611
+ "loss": 0.5781,
612
+ "step": 86
613
+ },
614
+ {
615
+ "epoch": 0.4702702702702703,
616
+ "grad_norm": 5.8280158042907715,
617
+ "learning_rate": 4.973387162916415e-06,
618
+ "loss": 0.7371,
619
+ "step": 87
620
+ },
621
+ {
622
+ "epoch": 0.4756756756756757,
623
+ "grad_norm": 1.8450292348861694,
624
+ "learning_rate": 4.972765794118158e-06,
625
+ "loss": 0.4283,
626
+ "step": 88
627
+ },
628
+ {
629
+ "epoch": 0.4810810810810811,
630
+ "grad_norm": 3.9483025074005127,
631
+ "learning_rate": 4.9721372945049114e-06,
632
+ "loss": 0.8419,
633
+ "step": 89
634
+ },
635
+ {
636
+ "epoch": 0.4864864864864865,
637
+ "grad_norm": 5.969606876373291,
638
+ "learning_rate": 4.971501665889107e-06,
639
+ "loss": 0.7859,
640
+ "step": 90
641
+ },
642
+ {
643
+ "epoch": 0.4918918918918919,
644
+ "grad_norm": 3.228818893432617,
645
+ "learning_rate": 4.9708589101037306e-06,
646
+ "loss": 0.4999,
647
+ "step": 91
648
+ },
649
+ {
650
+ "epoch": 0.4972972972972973,
651
+ "grad_norm": 5.162187576293945,
652
+ "learning_rate": 4.970209029002325e-06,
653
+ "loss": 0.912,
654
+ "step": 92
655
+ },
656
+ {
657
+ "epoch": 0.5027027027027027,
658
+ "grad_norm": 2.6580851078033447,
659
+ "learning_rate": 4.969552024458977e-06,
660
+ "loss": 0.9615,
661
+ "step": 93
662
+ },
663
+ {
664
+ "epoch": 0.5081081081081081,
665
+ "grad_norm": 2.4078314304351807,
666
+ "learning_rate": 4.968887898368318e-06,
667
+ "loss": 0.8795,
668
+ "step": 94
669
+ },
670
+ {
671
+ "epoch": 0.5135135135135135,
672
+ "grad_norm": 2.6411783695220947,
673
+ "learning_rate": 4.968216652645515e-06,
674
+ "loss": 0.7923,
675
+ "step": 95
676
+ },
677
+ {
678
+ "epoch": 0.518918918918919,
679
+ "grad_norm": 7.462233543395996,
680
+ "learning_rate": 4.967538289226268e-06,
681
+ "loss": 0.8507,
682
+ "step": 96
683
+ },
684
+ {
685
+ "epoch": 0.5243243243243243,
686
+ "grad_norm": 4.059110641479492,
687
+ "learning_rate": 4.966852810066798e-06,
688
+ "loss": 0.6454,
689
+ "step": 97
690
+ },
691
+ {
692
+ "epoch": 0.5297297297297298,
693
+ "grad_norm": 1.8168342113494873,
694
+ "learning_rate": 4.9661602171438524e-06,
695
+ "loss": 0.576,
696
+ "step": 98
697
+ },
698
+ {
699
+ "epoch": 0.5351351351351351,
700
+ "grad_norm": 1.478033423423767,
701
+ "learning_rate": 4.965460512454687e-06,
702
+ "loss": 0.6958,
703
+ "step": 99
704
+ },
705
+ {
706
+ "epoch": 0.5405405405405406,
707
+ "grad_norm": 1.698659896850586,
708
+ "learning_rate": 4.964753698017071e-06,
709
+ "loss": 0.787,
710
+ "step": 100
711
+ },
712
+ {
713
+ "epoch": 0.5459459459459459,
714
+ "grad_norm": 1.7375941276550293,
715
+ "learning_rate": 4.964039775869271e-06,
716
+ "loss": 0.5149,
717
+ "step": 101
718
+ },
719
+ {
720
+ "epoch": 0.5513513513513514,
721
+ "grad_norm": 2.0877439975738525,
722
+ "learning_rate": 4.963318748070056e-06,
723
+ "loss": 0.6927,
724
+ "step": 102
725
+ },
726
+ {
727
+ "epoch": 0.5567567567567567,
728
+ "grad_norm": 5.282774925231934,
729
+ "learning_rate": 4.9625906166986815e-06,
730
+ "loss": 0.8658,
731
+ "step": 103
732
+ },
733
+ {
734
+ "epoch": 0.5621621621621622,
735
+ "grad_norm": 1.9460411071777344,
736
+ "learning_rate": 4.961855383854889e-06,
737
+ "loss": 0.6703,
738
+ "step": 104
739
+ },
740
+ {
741
+ "epoch": 0.5675675675675675,
742
+ "grad_norm": 1.5056818723678589,
743
+ "learning_rate": 4.961113051658901e-06,
744
+ "loss": 0.4554,
745
+ "step": 105
746
+ },
747
+ {
748
+ "epoch": 0.572972972972973,
749
+ "grad_norm": 1.437719464302063,
750
+ "learning_rate": 4.96036362225141e-06,
751
+ "loss": 0.6334,
752
+ "step": 106
753
+ },
754
+ {
755
+ "epoch": 0.5783783783783784,
756
+ "grad_norm": 1.4771314859390259,
757
+ "learning_rate": 4.959607097793575e-06,
758
+ "loss": 0.5528,
759
+ "step": 107
760
+ },
761
+ {
762
+ "epoch": 0.5837837837837838,
763
+ "grad_norm": 7.920324325561523,
764
+ "learning_rate": 4.9588434804670176e-06,
765
+ "loss": 0.9336,
766
+ "step": 108
767
+ },
768
+ {
769
+ "epoch": 0.5891891891891892,
770
+ "grad_norm": 1.5517553091049194,
771
+ "learning_rate": 4.958072772473812e-06,
772
+ "loss": 0.789,
773
+ "step": 109
774
+ },
775
+ {
776
+ "epoch": 0.5945945945945946,
777
+ "grad_norm": 1.3858040571212769,
778
+ "learning_rate": 4.9572949760364795e-06,
779
+ "loss": 0.4324,
780
+ "step": 110
781
+ },
782
+ {
783
+ "epoch": 0.6,
784
+ "grad_norm": 1.6594784259796143,
785
+ "learning_rate": 4.9565100933979835e-06,
786
+ "loss": 0.5292,
787
+ "step": 111
788
+ },
789
+ {
790
+ "epoch": 0.6054054054054054,
791
+ "grad_norm": 1.6573512554168701,
792
+ "learning_rate": 4.9557181268217225e-06,
793
+ "loss": 0.8743,
794
+ "step": 112
795
+ },
796
+ {
797
+ "epoch": 0.6108108108108108,
798
+ "grad_norm": 1.6770830154418945,
799
+ "learning_rate": 4.954919078591521e-06,
800
+ "loss": 0.7404,
801
+ "step": 113
802
+ },
803
+ {
804
+ "epoch": 0.6162162162162163,
805
+ "grad_norm": 1.6126660108566284,
806
+ "learning_rate": 4.954112951011628e-06,
807
+ "loss": 0.6362,
808
+ "step": 114
809
+ },
810
+ {
811
+ "epoch": 0.6216216216216216,
812
+ "grad_norm": 2.074232816696167,
813
+ "learning_rate": 4.9532997464067065e-06,
814
+ "loss": 0.7641,
815
+ "step": 115
816
+ },
817
+ {
818
+ "epoch": 0.6270270270270271,
819
+ "grad_norm": 1.5597734451293945,
820
+ "learning_rate": 4.952479467121828e-06,
821
+ "loss": 0.8644,
822
+ "step": 116
823
+ },
824
+ {
825
+ "epoch": 0.6324324324324324,
826
+ "grad_norm": 2.000659704208374,
827
+ "learning_rate": 4.951652115522463e-06,
828
+ "loss": 1.0053,
829
+ "step": 117
830
+ },
831
+ {
832
+ "epoch": 0.6378378378378379,
833
+ "grad_norm": 2.8377368450164795,
834
+ "learning_rate": 4.950817693994481e-06,
835
+ "loss": 0.5995,
836
+ "step": 118
837
+ },
838
+ {
839
+ "epoch": 0.6432432432432432,
840
+ "grad_norm": 1.5014081001281738,
841
+ "learning_rate": 4.949976204944135e-06,
842
+ "loss": 0.5928,
843
+ "step": 119
844
+ },
845
+ {
846
+ "epoch": 0.6486486486486487,
847
+ "grad_norm": 1.7785449028015137,
848
+ "learning_rate": 4.949127650798063e-06,
849
+ "loss": 0.7382,
850
+ "step": 120
851
+ },
852
+ {
853
+ "epoch": 0.654054054054054,
854
+ "grad_norm": 1.3782838582992554,
855
+ "learning_rate": 4.948272034003275e-06,
856
+ "loss": 0.5388,
857
+ "step": 121
858
+ },
859
+ {
860
+ "epoch": 0.6594594594594595,
861
+ "grad_norm": 1.560390830039978,
862
+ "learning_rate": 4.947409357027148e-06,
863
+ "loss": 0.4066,
864
+ "step": 122
865
+ },
866
+ {
867
+ "epoch": 0.6648648648648648,
868
+ "grad_norm": 2.134943723678589,
869
+ "learning_rate": 4.9465396223574165e-06,
870
+ "loss": 0.9613,
871
+ "step": 123
872
+ },
873
+ {
874
+ "epoch": 0.6702702702702703,
875
+ "grad_norm": 2.2987451553344727,
876
+ "learning_rate": 4.945662832502172e-06,
877
+ "loss": 0.9508,
878
+ "step": 124
879
+ },
880
+ {
881
+ "epoch": 0.6756756756756757,
882
+ "grad_norm": 1.6348789930343628,
883
+ "learning_rate": 4.944778989989847e-06,
884
+ "loss": 0.9035,
885
+ "step": 125
886
+ },
887
+ {
888
+ "epoch": 0.6810810810810811,
889
+ "grad_norm": 1.6138966083526611,
890
+ "learning_rate": 4.943888097369216e-06,
891
+ "loss": 0.598,
892
+ "step": 126
893
+ },
894
+ {
895
+ "epoch": 0.6864864864864865,
896
+ "grad_norm": 1.228419542312622,
897
+ "learning_rate": 4.942990157209381e-06,
898
+ "loss": 0.5522,
899
+ "step": 127
900
+ },
901
+ {
902
+ "epoch": 0.6918918918918919,
903
+ "grad_norm": 1.8366758823394775,
904
+ "learning_rate": 4.9420851720997674e-06,
905
+ "loss": 0.7214,
906
+ "step": 128
907
+ },
908
+ {
909
+ "epoch": 0.6972972972972973,
910
+ "grad_norm": 1.8308454751968384,
911
+ "learning_rate": 4.94117314465012e-06,
912
+ "loss": 1.1496,
913
+ "step": 129
914
+ },
915
+ {
916
+ "epoch": 0.7027027027027027,
917
+ "grad_norm": 1.6276111602783203,
918
+ "learning_rate": 4.940254077490487e-06,
919
+ "loss": 0.5939,
920
+ "step": 130
921
+ },
922
+ {
923
+ "epoch": 0.7081081081081081,
924
+ "grad_norm": 1.2009947299957275,
925
+ "learning_rate": 4.939327973271222e-06,
926
+ "loss": 0.4729,
927
+ "step": 131
928
+ },
929
+ {
930
+ "epoch": 0.7135135135135136,
931
+ "grad_norm": 1.3389908075332642,
932
+ "learning_rate": 4.9383948346629665e-06,
933
+ "loss": 0.4856,
934
+ "step": 132
935
+ },
936
+ {
937
+ "epoch": 0.7189189189189189,
938
+ "grad_norm": 1.1946738958358765,
939
+ "learning_rate": 4.937454664356652e-06,
940
+ "loss": 0.6242,
941
+ "step": 133
942
+ },
943
+ {
944
+ "epoch": 0.7243243243243244,
945
+ "grad_norm": 1.4497710466384888,
946
+ "learning_rate": 4.9365074650634855e-06,
947
+ "loss": 0.571,
948
+ "step": 134
949
+ },
950
+ {
951
+ "epoch": 0.7297297297297297,
952
+ "grad_norm": 1.9280076026916504,
953
+ "learning_rate": 4.9355532395149445e-06,
954
+ "loss": 0.9208,
955
+ "step": 135
956
+ },
957
+ {
958
+ "epoch": 0.7351351351351352,
959
+ "grad_norm": 1.5937215089797974,
960
+ "learning_rate": 4.9345919904627655e-06,
961
+ "loss": 0.6167,
962
+ "step": 136
963
+ },
964
+ {
965
+ "epoch": 0.7405405405405405,
966
+ "grad_norm": 1.5637091398239136,
967
+ "learning_rate": 4.933623720678944e-06,
968
+ "loss": 0.5904,
969
+ "step": 137
970
+ },
971
+ {
972
+ "epoch": 0.745945945945946,
973
+ "grad_norm": 2.061098098754883,
974
+ "learning_rate": 4.932648432955718e-06,
975
+ "loss": 0.7665,
976
+ "step": 138
977
+ },
978
+ {
979
+ "epoch": 0.7513513513513513,
980
+ "grad_norm": 1.408953070640564,
981
+ "learning_rate": 4.931666130105564e-06,
982
+ "loss": 0.5753,
983
+ "step": 139
984
+ },
985
+ {
986
+ "epoch": 0.7567567567567568,
987
+ "grad_norm": 1.587388277053833,
988
+ "learning_rate": 4.930676814961189e-06,
989
+ "loss": 0.6025,
990
+ "step": 140
991
+ },
992
+ {
993
+ "epoch": 0.7621621621621621,
994
+ "grad_norm": 1.8407951593399048,
995
+ "learning_rate": 4.92968049037552e-06,
996
+ "loss": 0.5458,
997
+ "step": 141
998
+ },
999
+ {
1000
+ "epoch": 0.7675675675675676,
1001
+ "grad_norm": 1.453813076019287,
1002
+ "learning_rate": 4.9286771592217005e-06,
1003
+ "loss": 0.6279,
1004
+ "step": 142
1005
+ },
1006
+ {
1007
+ "epoch": 0.772972972972973,
1008
+ "grad_norm": 2.7878520488739014,
1009
+ "learning_rate": 4.927666824393076e-06,
1010
+ "loss": 0.8547,
1011
+ "step": 143
1012
+ },
1013
+ {
1014
+ "epoch": 0.7783783783783784,
1015
+ "grad_norm": 1.8180932998657227,
1016
+ "learning_rate": 4.926649488803191e-06,
1017
+ "loss": 0.7856,
1018
+ "step": 144
1019
+ },
1020
+ {
1021
+ "epoch": 0.7837837837837838,
1022
+ "grad_norm": 1.6957378387451172,
1023
+ "learning_rate": 4.925625155385776e-06,
1024
+ "loss": 0.3739,
1025
+ "step": 145
1026
+ },
1027
+ {
1028
+ "epoch": 0.7891891891891892,
1029
+ "grad_norm": 1.479246735572815,
1030
+ "learning_rate": 4.924593827094743e-06,
1031
+ "loss": 0.7423,
1032
+ "step": 146
1033
+ },
1034
+ {
1035
+ "epoch": 0.7945945945945946,
1036
+ "grad_norm": 1.6540454626083374,
1037
+ "learning_rate": 4.923555506904176e-06,
1038
+ "loss": 0.6265,
1039
+ "step": 147
1040
+ },
1041
+ {
1042
+ "epoch": 0.8,
1043
+ "grad_norm": 1.9455894231796265,
1044
+ "learning_rate": 4.922510197808321e-06,
1045
+ "loss": 1.0022,
1046
+ "step": 148
1047
+ },
1048
+ {
1049
+ "epoch": 0.8054054054054054,
1050
+ "grad_norm": 1.4136521816253662,
1051
+ "learning_rate": 4.921457902821578e-06,
1052
+ "loss": 0.6089,
1053
+ "step": 149
1054
+ },
1055
+ {
1056
+ "epoch": 0.8108108108108109,
1057
+ "grad_norm": 1.5175873041152954,
1058
+ "learning_rate": 4.920398624978493e-06,
1059
+ "loss": 1.0393,
1060
+ "step": 150
1061
+ },
1062
+ {
1063
+ "epoch": 0.8162162162162162,
1064
+ "grad_norm": 1.4155280590057373,
1065
+ "learning_rate": 4.919332367333748e-06,
1066
+ "loss": 0.6207,
1067
+ "step": 151
1068
+ },
1069
+ {
1070
+ "epoch": 0.8216216216216217,
1071
+ "grad_norm": 1.451080322265625,
1072
+ "learning_rate": 4.918259132962154e-06,
1073
+ "loss": 0.5504,
1074
+ "step": 152
1075
+ },
1076
+ {
1077
+ "epoch": 0.827027027027027,
1078
+ "grad_norm": 1.4435138702392578,
1079
+ "learning_rate": 4.917178924958638e-06,
1080
+ "loss": 0.585,
1081
+ "step": 153
1082
+ },
1083
+ {
1084
+ "epoch": 0.8324324324324325,
1085
+ "grad_norm": 1.368687391281128,
1086
+ "learning_rate": 4.916091746438243e-06,
1087
+ "loss": 0.6832,
1088
+ "step": 154
1089
+ },
1090
+ {
1091
+ "epoch": 0.8378378378378378,
1092
+ "grad_norm": 2.4902706146240234,
1093
+ "learning_rate": 4.9149976005361085e-06,
1094
+ "loss": 0.6932,
1095
+ "step": 155
1096
+ },
1097
+ {
1098
+ "epoch": 0.8432432432432433,
1099
+ "grad_norm": 1.8085652589797974,
1100
+ "learning_rate": 4.913896490407467e-06,
1101
+ "loss": 1.0224,
1102
+ "step": 156
1103
+ },
1104
+ {
1105
+ "epoch": 0.8486486486486486,
1106
+ "grad_norm": 1.2914624214172363,
1107
+ "learning_rate": 4.912788419227635e-06,
1108
+ "loss": 0.6484,
1109
+ "step": 157
1110
+ },
1111
+ {
1112
+ "epoch": 0.8540540540540541,
1113
+ "grad_norm": 1.5309317111968994,
1114
+ "learning_rate": 4.911673390192002e-06,
1115
+ "loss": 0.7786,
1116
+ "step": 158
1117
+ },
1118
+ {
1119
+ "epoch": 0.8594594594594595,
1120
+ "grad_norm": 1.483669638633728,
1121
+ "learning_rate": 4.910551406516023e-06,
1122
+ "loss": 0.7141,
1123
+ "step": 159
1124
+ },
1125
+ {
1126
+ "epoch": 0.8648648648648649,
1127
+ "grad_norm": 1.4227954149246216,
1128
+ "learning_rate": 4.909422471435207e-06,
1129
+ "loss": 0.899,
1130
+ "step": 160
1131
+ },
1132
+ {
1133
+ "epoch": 0.8702702702702703,
1134
+ "grad_norm": 1.3709925413131714,
1135
+ "learning_rate": 4.90828658820511e-06,
1136
+ "loss": 0.4481,
1137
+ "step": 161
1138
+ },
1139
+ {
1140
+ "epoch": 0.8756756756756757,
1141
+ "grad_norm": 1.1728129386901855,
1142
+ "learning_rate": 4.907143760101325e-06,
1143
+ "loss": 0.4109,
1144
+ "step": 162
1145
+ },
1146
+ {
1147
+ "epoch": 0.8810810810810811,
1148
+ "grad_norm": 1.5056915283203125,
1149
+ "learning_rate": 4.905993990419472e-06,
1150
+ "loss": 0.6837,
1151
+ "step": 163
1152
+ },
1153
+ {
1154
+ "epoch": 0.8864864864864865,
1155
+ "grad_norm": 1.4208317995071411,
1156
+ "learning_rate": 4.904837282475187e-06,
1157
+ "loss": 0.518,
1158
+ "step": 164
1159
+ },
1160
+ {
1161
+ "epoch": 0.8918918918918919,
1162
+ "grad_norm": 1.4804638624191284,
1163
+ "learning_rate": 4.9036736396041165e-06,
1164
+ "loss": 0.8612,
1165
+ "step": 165
1166
+ },
1167
+ {
1168
+ "epoch": 0.8972972972972973,
1169
+ "grad_norm": 2.0513720512390137,
1170
+ "learning_rate": 4.902503065161905e-06,
1171
+ "loss": 0.6837,
1172
+ "step": 166
1173
+ },
1174
+ {
1175
+ "epoch": 0.9027027027027027,
1176
+ "grad_norm": 1.5739083290100098,
1177
+ "learning_rate": 4.901325562524185e-06,
1178
+ "loss": 0.851,
1179
+ "step": 167
1180
+ },
1181
+ {
1182
+ "epoch": 0.9081081081081082,
1183
+ "grad_norm": 1.9349701404571533,
1184
+ "learning_rate": 4.900141135086569e-06,
1185
+ "loss": 0.6675,
1186
+ "step": 168
1187
+ },
1188
+ {
1189
+ "epoch": 0.9135135135135135,
1190
+ "grad_norm": 1.563302993774414,
1191
+ "learning_rate": 4.898949786264638e-06,
1192
+ "loss": 0.581,
1193
+ "step": 169
1194
+ },
1195
+ {
1196
+ "epoch": 0.918918918918919,
1197
+ "grad_norm": 3.459235906600952,
1198
+ "learning_rate": 4.897751519493933e-06,
1199
+ "loss": 0.6256,
1200
+ "step": 170
1201
+ },
1202
+ {
1203
+ "epoch": 0.9243243243243243,
1204
+ "grad_norm": 1.6352131366729736,
1205
+ "learning_rate": 4.896546338229945e-06,
1206
+ "loss": 0.6289,
1207
+ "step": 171
1208
+ },
1209
+ {
1210
+ "epoch": 0.9297297297297298,
1211
+ "grad_norm": 1.5300105810165405,
1212
+ "learning_rate": 4.8953342459481034e-06,
1213
+ "loss": 0.5438,
1214
+ "step": 172
1215
+ },
1216
+ {
1217
+ "epoch": 0.9351351351351351,
1218
+ "grad_norm": 1.6437793970108032,
1219
+ "learning_rate": 4.894115246143768e-06,
1220
+ "loss": 0.6853,
1221
+ "step": 173
1222
+ },
1223
+ {
1224
+ "epoch": 0.9405405405405406,
1225
+ "grad_norm": 1.364875316619873,
1226
+ "learning_rate": 4.892889342332218e-06,
1227
+ "loss": 0.5561,
1228
+ "step": 174
1229
+ },
1230
+ {
1231
+ "epoch": 0.9459459459459459,
1232
+ "grad_norm": 1.9152064323425293,
1233
+ "learning_rate": 4.891656538048642e-06,
1234
+ "loss": 0.8916,
1235
+ "step": 175
1236
+ },
1237
+ {
1238
+ "epoch": 0.9513513513513514,
1239
+ "grad_norm": 1.4539505243301392,
1240
+ "learning_rate": 4.890416836848128e-06,
1241
+ "loss": 0.7008,
1242
+ "step": 176
1243
+ },
1244
+ {
1245
+ "epoch": 0.9567567567567568,
1246
+ "grad_norm": 1.479102373123169,
1247
+ "learning_rate": 4.889170242305652e-06,
1248
+ "loss": 0.541,
1249
+ "step": 177
1250
+ },
1251
+ {
1252
+ "epoch": 0.9621621621621622,
1253
+ "grad_norm": 1.3016072511672974,
1254
+ "learning_rate": 4.887916758016069e-06,
1255
+ "loss": 0.7985,
1256
+ "step": 178
1257
+ },
1258
+ {
1259
+ "epoch": 0.9675675675675676,
1260
+ "grad_norm": 1.856482744216919,
1261
+ "learning_rate": 4.886656387594104e-06,
1262
+ "loss": 0.965,
1263
+ "step": 179
1264
+ },
1265
+ {
1266
+ "epoch": 0.972972972972973,
1267
+ "grad_norm": 1.8836162090301514,
1268
+ "learning_rate": 4.885389134674338e-06,
1269
+ "loss": 0.6575,
1270
+ "step": 180
1271
+ },
1272
+ {
1273
+ "epoch": 0.9783783783783784,
1274
+ "grad_norm": 1.5031898021697998,
1275
+ "learning_rate": 4.884115002911197e-06,
1276
+ "loss": 0.4896,
1277
+ "step": 181
1278
+ },
1279
+ {
1280
+ "epoch": 0.9837837837837838,
1281
+ "grad_norm": 1.478468418121338,
1282
+ "learning_rate": 4.88283399597895e-06,
1283
+ "loss": 0.7711,
1284
+ "step": 182
1285
+ },
1286
+ {
1287
+ "epoch": 0.9891891891891892,
1288
+ "grad_norm": 1.5407146215438843,
1289
+ "learning_rate": 4.881546117571686e-06,
1290
+ "loss": 0.5593,
1291
+ "step": 183
1292
+ },
1293
+ {
1294
+ "epoch": 0.9945945945945946,
1295
+ "grad_norm": 1.73698890209198,
1296
+ "learning_rate": 4.8802513714033135e-06,
1297
+ "loss": 0.5868,
1298
+ "step": 184
1299
+ },
1300
+ {
1301
+ "epoch": 1.0,
1302
+ "grad_norm": 1.5788382291793823,
1303
+ "learning_rate": 4.878949761207545e-06,
1304
+ "loss": 0.844,
1305
+ "step": 185
1306
+ },
1307
+ {
1308
+ "epoch": 1.0054054054054054,
1309
+ "grad_norm": 1.3397678136825562,
1310
+ "learning_rate": 4.8776412907378845e-06,
1311
+ "loss": 0.6271,
1312
+ "step": 186
1313
+ },
1314
+ {
1315
+ "epoch": 1.0108108108108107,
1316
+ "grad_norm": 1.4531461000442505,
1317
+ "learning_rate": 4.876325963767623e-06,
1318
+ "loss": 0.5711,
1319
+ "step": 187
1320
+ },
1321
+ {
1322
+ "epoch": 1.0162162162162163,
1323
+ "grad_norm": 1.1585415601730347,
1324
+ "learning_rate": 4.875003784089822e-06,
1325
+ "loss": 0.5945,
1326
+ "step": 188
1327
+ },
1328
+ {
1329
+ "epoch": 1.0216216216216216,
1330
+ "grad_norm": 1.3621349334716797,
1331
+ "learning_rate": 4.873674755517305e-06,
1332
+ "loss": 0.6144,
1333
+ "step": 189
1334
+ },
1335
+ {
1336
+ "epoch": 1.027027027027027,
1337
+ "grad_norm": 1.2452881336212158,
1338
+ "learning_rate": 4.872338881882645e-06,
1339
+ "loss": 0.7082,
1340
+ "step": 190
1341
+ },
1342
+ {
1343
+ "epoch": 1.0324324324324325,
1344
+ "grad_norm": 1.4508976936340332,
1345
+ "learning_rate": 4.870996167038154e-06,
1346
+ "loss": 0.5387,
1347
+ "step": 191
1348
+ },
1349
+ {
1350
+ "epoch": 1.037837837837838,
1351
+ "grad_norm": 1.2773476839065552,
1352
+ "learning_rate": 4.869646614855877e-06,
1353
+ "loss": 0.3655,
1354
+ "step": 192
1355
+ },
1356
+ {
1357
+ "epoch": 1.0432432432432432,
1358
+ "grad_norm": 1.7777947187423706,
1359
+ "learning_rate": 4.868290229227567e-06,
1360
+ "loss": 0.7866,
1361
+ "step": 193
1362
+ },
1363
+ {
1364
+ "epoch": 1.0486486486486486,
1365
+ "grad_norm": 1.180887222290039,
1366
+ "learning_rate": 4.866927014064692e-06,
1367
+ "loss": 0.3089,
1368
+ "step": 194
1369
+ },
1370
+ {
1371
+ "epoch": 1.054054054054054,
1372
+ "grad_norm": 1.665440320968628,
1373
+ "learning_rate": 4.86555697329841e-06,
1374
+ "loss": 0.8459,
1375
+ "step": 195
1376
+ },
1377
+ {
1378
+ "epoch": 1.0594594594594595,
1379
+ "grad_norm": 2.011904239654541,
1380
+ "learning_rate": 4.864180110879562e-06,
1381
+ "loss": 0.7435,
1382
+ "step": 196
1383
+ },
1384
+ {
1385
+ "epoch": 1.0648648648648649,
1386
+ "grad_norm": 1.0975934267044067,
1387
+ "learning_rate": 4.862796430778663e-06,
1388
+ "loss": 0.3509,
1389
+ "step": 197
1390
+ },
1391
+ {
1392
+ "epoch": 1.0702702702702702,
1393
+ "grad_norm": 2.8494436740875244,
1394
+ "learning_rate": 4.861405936985889e-06,
1395
+ "loss": 0.6601,
1396
+ "step": 198
1397
+ },
1398
+ {
1399
+ "epoch": 1.0756756756756758,
1400
+ "grad_norm": 1.3506245613098145,
1401
+ "learning_rate": 4.860008633511059e-06,
1402
+ "loss": 0.6829,
1403
+ "step": 199
1404
+ },
1405
+ {
1406
+ "epoch": 1.0810810810810811,
1407
+ "grad_norm": 1.372811198234558,
1408
+ "learning_rate": 4.8586045243836384e-06,
1409
+ "loss": 0.4516,
1410
+ "step": 200
1411
+ },
1412
+ {
1413
+ "epoch": 1.0864864864864865,
1414
+ "grad_norm": 1.9643627405166626,
1415
+ "learning_rate": 4.857193613652711e-06,
1416
+ "loss": 0.6955,
1417
+ "step": 201
1418
+ },
1419
+ {
1420
+ "epoch": 1.0918918918918918,
1421
+ "grad_norm": 1.2992147207260132,
1422
+ "learning_rate": 4.8557759053869775e-06,
1423
+ "loss": 0.5928,
1424
+ "step": 202
1425
+ },
1426
+ {
1427
+ "epoch": 1.0972972972972972,
1428
+ "grad_norm": 1.0684137344360352,
1429
+ "learning_rate": 4.854351403674741e-06,
1430
+ "loss": 0.4391,
1431
+ "step": 203
1432
+ },
1433
+ {
1434
+ "epoch": 1.1027027027027028,
1435
+ "grad_norm": 1.6756342649459839,
1436
+ "learning_rate": 4.852920112623895e-06,
1437
+ "loss": 0.553,
1438
+ "step": 204
1439
+ },
1440
+ {
1441
+ "epoch": 1.1081081081081081,
1442
+ "grad_norm": 1.4580910205841064,
1443
+ "learning_rate": 4.851482036361912e-06,
1444
+ "loss": 0.6693,
1445
+ "step": 205
1446
+ },
1447
+ {
1448
+ "epoch": 1.1135135135135135,
1449
+ "grad_norm": 1.340636968612671,
1450
+ "learning_rate": 4.850037179035829e-06,
1451
+ "loss": 0.4959,
1452
+ "step": 206
1453
+ },
1454
+ {
1455
+ "epoch": 1.118918918918919,
1456
+ "grad_norm": 1.3293588161468506,
1457
+ "learning_rate": 4.8485855448122425e-06,
1458
+ "loss": 0.5316,
1459
+ "step": 207
1460
+ },
1461
+ {
1462
+ "epoch": 1.1243243243243244,
1463
+ "grad_norm": 1.144441843032837,
1464
+ "learning_rate": 4.847127137877286e-06,
1465
+ "loss": 0.367,
1466
+ "step": 208
1467
+ },
1468
+ {
1469
+ "epoch": 1.1297297297297297,
1470
+ "grad_norm": 1.2157750129699707,
1471
+ "learning_rate": 4.8456619624366285e-06,
1472
+ "loss": 0.714,
1473
+ "step": 209
1474
+ },
1475
+ {
1476
+ "epoch": 1.135135135135135,
1477
+ "grad_norm": 1.385451078414917,
1478
+ "learning_rate": 4.844190022715456e-06,
1479
+ "loss": 0.6213,
1480
+ "step": 210
1481
+ },
1482
+ {
1483
+ "epoch": 1.1405405405405404,
1484
+ "grad_norm": 1.4030694961547852,
1485
+ "learning_rate": 4.84271132295846e-06,
1486
+ "loss": 0.3404,
1487
+ "step": 211
1488
+ },
1489
+ {
1490
+ "epoch": 1.145945945945946,
1491
+ "grad_norm": 1.4046175479888916,
1492
+ "learning_rate": 4.841225867429826e-06,
1493
+ "loss": 0.558,
1494
+ "step": 212
1495
+ },
1496
+ {
1497
+ "epoch": 1.1513513513513514,
1498
+ "grad_norm": 1.3591229915618896,
1499
+ "learning_rate": 4.839733660413224e-06,
1500
+ "loss": 0.7839,
1501
+ "step": 213
1502
+ },
1503
+ {
1504
+ "epoch": 1.1567567567567567,
1505
+ "grad_norm": 1.6660821437835693,
1506
+ "learning_rate": 4.838234706211792e-06,
1507
+ "loss": 0.6311,
1508
+ "step": 214
1509
+ },
1510
+ {
1511
+ "epoch": 1.1621621621621623,
1512
+ "grad_norm": 1.2875845432281494,
1513
+ "learning_rate": 4.836729009148124e-06,
1514
+ "loss": 0.4286,
1515
+ "step": 215
1516
+ },
1517
+ {
1518
+ "epoch": 1.1675675675675676,
1519
+ "grad_norm": 1.1617827415466309,
1520
+ "learning_rate": 4.835216573564261e-06,
1521
+ "loss": 0.328,
1522
+ "step": 216
1523
+ },
1524
+ {
1525
+ "epoch": 1.172972972972973,
1526
+ "grad_norm": 1.9180679321289062,
1527
+ "learning_rate": 4.833697403821672e-06,
1528
+ "loss": 0.6377,
1529
+ "step": 217
1530
+ },
1531
+ {
1532
+ "epoch": 1.1783783783783783,
1533
+ "grad_norm": 1.2474026679992676,
1534
+ "learning_rate": 4.8321715043012516e-06,
1535
+ "loss": 0.6262,
1536
+ "step": 218
1537
+ },
1538
+ {
1539
+ "epoch": 1.1837837837837837,
1540
+ "grad_norm": 1.2245597839355469,
1541
+ "learning_rate": 4.830638879403296e-06,
1542
+ "loss": 0.3518,
1543
+ "step": 219
1544
+ },
1545
+ {
1546
+ "epoch": 1.1891891891891893,
1547
+ "grad_norm": 1.5926570892333984,
1548
+ "learning_rate": 4.8290995335475e-06,
1549
+ "loss": 0.4639,
1550
+ "step": 220
1551
+ },
1552
+ {
1553
+ "epoch": 1.1945945945945946,
1554
+ "grad_norm": 1.2763904333114624,
1555
+ "learning_rate": 4.827553471172935e-06,
1556
+ "loss": 0.3853,
1557
+ "step": 221
1558
+ },
1559
+ {
1560
+ "epoch": 1.2,
1561
+ "grad_norm": 1.4549741744995117,
1562
+ "learning_rate": 4.826000696738045e-06,
1563
+ "loss": 0.4299,
1564
+ "step": 222
1565
+ },
1566
+ {
1567
+ "epoch": 1.2054054054054055,
1568
+ "grad_norm": 1.2561891078948975,
1569
+ "learning_rate": 4.824441214720629e-06,
1570
+ "loss": 0.7467,
1571
+ "step": 223
1572
+ },
1573
+ {
1574
+ "epoch": 1.2108108108108109,
1575
+ "grad_norm": 2.0324487686157227,
1576
+ "learning_rate": 4.8228750296178275e-06,
1577
+ "loss": 0.4942,
1578
+ "step": 224
1579
+ },
1580
+ {
1581
+ "epoch": 1.2162162162162162,
1582
+ "grad_norm": 1.200749158859253,
1583
+ "learning_rate": 4.821302145946113e-06,
1584
+ "loss": 0.4484,
1585
+ "step": 225
1586
+ },
1587
+ {
1588
+ "epoch": 1.2216216216216216,
1589
+ "grad_norm": 1.5410007238388062,
1590
+ "learning_rate": 4.819722568241274e-06,
1591
+ "loss": 0.5762,
1592
+ "step": 226
1593
+ },
1594
+ {
1595
+ "epoch": 1.227027027027027,
1596
+ "grad_norm": 1.0582488775253296,
1597
+ "learning_rate": 4.818136301058401e-06,
1598
+ "loss": 0.3918,
1599
+ "step": 227
1600
+ },
1601
+ {
1602
+ "epoch": 1.2324324324324325,
1603
+ "grad_norm": 1.740899920463562,
1604
+ "learning_rate": 4.816543348971879e-06,
1605
+ "loss": 0.6429,
1606
+ "step": 228
1607
+ },
1608
+ {
1609
+ "epoch": 1.2378378378378379,
1610
+ "grad_norm": 1.9297678470611572,
1611
+ "learning_rate": 4.814943716575368e-06,
1612
+ "loss": 0.6014,
1613
+ "step": 229
1614
+ },
1615
+ {
1616
+ "epoch": 1.2432432432432432,
1617
+ "grad_norm": 1.4900671243667603,
1618
+ "learning_rate": 4.813337408481793e-06,
1619
+ "loss": 0.843,
1620
+ "step": 230
1621
+ },
1622
+ {
1623
+ "epoch": 1.2486486486486488,
1624
+ "grad_norm": 1.4248167276382446,
1625
+ "learning_rate": 4.811724429323329e-06,
1626
+ "loss": 0.8405,
1627
+ "step": 231
1628
+ },
1629
+ {
1630
+ "epoch": 1.2540540540540541,
1631
+ "grad_norm": 1.7808220386505127,
1632
+ "learning_rate": 4.810104783751389e-06,
1633
+ "loss": 0.5169,
1634
+ "step": 232
1635
+ },
1636
+ {
1637
+ "epoch": 1.2594594594594595,
1638
+ "grad_norm": 1.3239902257919312,
1639
+ "learning_rate": 4.8084784764366125e-06,
1640
+ "loss": 0.4331,
1641
+ "step": 233
1642
+ },
1643
+ {
1644
+ "epoch": 1.2648648648648648,
1645
+ "grad_norm": 1.2848410606384277,
1646
+ "learning_rate": 4.806845512068846e-06,
1647
+ "loss": 0.4776,
1648
+ "step": 234
1649
+ },
1650
+ {
1651
+ "epoch": 1.2702702702702702,
1652
+ "grad_norm": 1.3786102533340454,
1653
+ "learning_rate": 4.805205895357137e-06,
1654
+ "loss": 0.5769,
1655
+ "step": 235
1656
+ },
1657
+ {
1658
+ "epoch": 1.2756756756756757,
1659
+ "grad_norm": 1.2326008081436157,
1660
+ "learning_rate": 4.803559631029713e-06,
1661
+ "loss": 0.5914,
1662
+ "step": 236
1663
+ },
1664
+ {
1665
+ "epoch": 1.281081081081081,
1666
+ "grad_norm": 1.073604941368103,
1667
+ "learning_rate": 4.801906723833973e-06,
1668
+ "loss": 0.413,
1669
+ "step": 237
1670
+ },
1671
+ {
1672
+ "epoch": 1.2864864864864864,
1673
+ "grad_norm": 1.2083159685134888,
1674
+ "learning_rate": 4.8002471785364734e-06,
1675
+ "loss": 0.4591,
1676
+ "step": 238
1677
+ },
1678
+ {
1679
+ "epoch": 1.291891891891892,
1680
+ "grad_norm": 1.2016311883926392,
1681
+ "learning_rate": 4.798580999922913e-06,
1682
+ "loss": 0.5701,
1683
+ "step": 239
1684
+ },
1685
+ {
1686
+ "epoch": 1.2972972972972974,
1687
+ "grad_norm": 1.5450735092163086,
1688
+ "learning_rate": 4.796908192798117e-06,
1689
+ "loss": 0.5289,
1690
+ "step": 240
1691
+ },
1692
+ {
1693
+ "epoch": 1.3027027027027027,
1694
+ "grad_norm": 1.1884366273880005,
1695
+ "learning_rate": 4.7952287619860276e-06,
1696
+ "loss": 0.5236,
1697
+ "step": 241
1698
+ },
1699
+ {
1700
+ "epoch": 1.308108108108108,
1701
+ "grad_norm": 1.5780479907989502,
1702
+ "learning_rate": 4.793542712329689e-06,
1703
+ "loss": 0.9311,
1704
+ "step": 242
1705
+ },
1706
+ {
1707
+ "epoch": 1.3135135135135134,
1708
+ "grad_norm": 1.1875817775726318,
1709
+ "learning_rate": 4.791850048691228e-06,
1710
+ "loss": 0.5469,
1711
+ "step": 243
1712
+ },
1713
+ {
1714
+ "epoch": 1.318918918918919,
1715
+ "grad_norm": 1.6719521284103394,
1716
+ "learning_rate": 4.79015077595185e-06,
1717
+ "loss": 0.7005,
1718
+ "step": 244
1719
+ },
1720
+ {
1721
+ "epoch": 1.3243243243243243,
1722
+ "grad_norm": 1.638806700706482,
1723
+ "learning_rate": 4.788444899011816e-06,
1724
+ "loss": 0.4989,
1725
+ "step": 245
1726
+ },
1727
+ {
1728
+ "epoch": 1.3297297297297297,
1729
+ "grad_norm": 1.2825144529342651,
1730
+ "learning_rate": 4.786732422790432e-06,
1731
+ "loss": 0.4646,
1732
+ "step": 246
1733
+ },
1734
+ {
1735
+ "epoch": 1.3351351351351353,
1736
+ "grad_norm": 1.6913565397262573,
1737
+ "learning_rate": 4.785013352226036e-06,
1738
+ "loss": 0.5436,
1739
+ "step": 247
1740
+ },
1741
+ {
1742
+ "epoch": 1.3405405405405406,
1743
+ "grad_norm": 0.9610883593559265,
1744
+ "learning_rate": 4.7832876922759805e-06,
1745
+ "loss": 0.312,
1746
+ "step": 248
1747
+ },
1748
+ {
1749
+ "epoch": 1.345945945945946,
1750
+ "grad_norm": 1.8593261241912842,
1751
+ "learning_rate": 4.781555447916622e-06,
1752
+ "loss": 0.6682,
1753
+ "step": 249
1754
+ },
1755
+ {
1756
+ "epoch": 1.3513513513513513,
1757
+ "grad_norm": 1.153238296508789,
1758
+ "learning_rate": 4.779816624143302e-06,
1759
+ "loss": 0.3905,
1760
+ "step": 250
1761
+ },
1762
+ {
1763
+ "epoch": 1.3567567567567567,
1764
+ "grad_norm": 2.1419355869293213,
1765
+ "learning_rate": 4.77807122597034e-06,
1766
+ "loss": 0.7274,
1767
+ "step": 251
1768
+ },
1769
+ {
1770
+ "epoch": 1.3621621621621622,
1771
+ "grad_norm": 1.0724537372589111,
1772
+ "learning_rate": 4.776319258431009e-06,
1773
+ "loss": 0.4766,
1774
+ "step": 252
1775
+ },
1776
+ {
1777
+ "epoch": 1.3675675675675676,
1778
+ "grad_norm": 1.168109655380249,
1779
+ "learning_rate": 4.77456072657753e-06,
1780
+ "loss": 0.4067,
1781
+ "step": 253
1782
+ },
1783
+ {
1784
+ "epoch": 1.372972972972973,
1785
+ "grad_norm": 1.267990231513977,
1786
+ "learning_rate": 4.772795635481053e-06,
1787
+ "loss": 0.482,
1788
+ "step": 254
1789
+ },
1790
+ {
1791
+ "epoch": 1.3783783783783785,
1792
+ "grad_norm": 1.5796809196472168,
1793
+ "learning_rate": 4.77102399023164e-06,
1794
+ "loss": 0.9423,
1795
+ "step": 255
1796
+ },
1797
+ {
1798
+ "epoch": 1.3837837837837839,
1799
+ "grad_norm": 1.2880598306655884,
1800
+ "learning_rate": 4.769245795938261e-06,
1801
+ "loss": 0.4537,
1802
+ "step": 256
1803
+ },
1804
+ {
1805
+ "epoch": 1.3891891891891892,
1806
+ "grad_norm": 1.1290082931518555,
1807
+ "learning_rate": 4.767461057728763e-06,
1808
+ "loss": 0.4714,
1809
+ "step": 257
1810
+ },
1811
+ {
1812
+ "epoch": 1.3945945945945946,
1813
+ "grad_norm": 1.8791805505752563,
1814
+ "learning_rate": 4.76566978074987e-06,
1815
+ "loss": 0.6956,
1816
+ "step": 258
1817
+ },
1818
+ {
1819
+ "epoch": 1.4,
1820
+ "grad_norm": 1.525825023651123,
1821
+ "learning_rate": 4.7638719701671586e-06,
1822
+ "loss": 0.653,
1823
+ "step": 259
1824
+ },
1825
+ {
1826
+ "epoch": 1.4054054054054055,
1827
+ "grad_norm": 1.5739421844482422,
1828
+ "learning_rate": 4.762067631165049e-06,
1829
+ "loss": 0.7987,
1830
+ "step": 260
1831
+ },
1832
+ {
1833
+ "epoch": 1.4108108108108108,
1834
+ "grad_norm": 1.3621995449066162,
1835
+ "learning_rate": 4.760256768946787e-06,
1836
+ "loss": 0.4626,
1837
+ "step": 261
1838
+ },
1839
+ {
1840
+ "epoch": 1.4162162162162162,
1841
+ "grad_norm": 1.2688299417495728,
1842
+ "learning_rate": 4.758439388734429e-06,
1843
+ "loss": 0.7365,
1844
+ "step": 262
1845
+ },
1846
+ {
1847
+ "epoch": 1.4216216216216218,
1848
+ "grad_norm": 1.5742356777191162,
1849
+ "learning_rate": 4.7566154957688276e-06,
1850
+ "loss": 0.9721,
1851
+ "step": 263
1852
+ },
1853
+ {
1854
+ "epoch": 1.427027027027027,
1855
+ "grad_norm": 1.246647596359253,
1856
+ "learning_rate": 4.754785095309617e-06,
1857
+ "loss": 0.5968,
1858
+ "step": 264
1859
+ },
1860
+ {
1861
+ "epoch": 1.4324324324324325,
1862
+ "grad_norm": 1.205913782119751,
1863
+ "learning_rate": 4.752948192635199e-06,
1864
+ "loss": 0.4595,
1865
+ "step": 265
1866
+ },
1867
+ {
1868
+ "epoch": 1.4378378378378378,
1869
+ "grad_norm": 1.3996696472167969,
1870
+ "learning_rate": 4.751104793042722e-06,
1871
+ "loss": 0.837,
1872
+ "step": 266
1873
+ },
1874
+ {
1875
+ "epoch": 1.4432432432432432,
1876
+ "grad_norm": 1.049208402633667,
1877
+ "learning_rate": 4.7492549018480725e-06,
1878
+ "loss": 0.5352,
1879
+ "step": 267
1880
+ },
1881
+ {
1882
+ "epoch": 1.4486486486486487,
1883
+ "grad_norm": 1.4224534034729004,
1884
+ "learning_rate": 4.747398524385858e-06,
1885
+ "loss": 0.8857,
1886
+ "step": 268
1887
+ },
1888
+ {
1889
+ "epoch": 1.454054054054054,
1890
+ "grad_norm": 1.989590048789978,
1891
+ "learning_rate": 4.745535666009389e-06,
1892
+ "loss": 0.5727,
1893
+ "step": 269
1894
+ },
1895
+ {
1896
+ "epoch": 1.4594594594594594,
1897
+ "grad_norm": 1.1345244646072388,
1898
+ "learning_rate": 4.743666332090664e-06,
1899
+ "loss": 0.3826,
1900
+ "step": 270
1901
+ },
1902
+ {
1903
+ "epoch": 1.464864864864865,
1904
+ "grad_norm": 1.185560941696167,
1905
+ "learning_rate": 4.74179052802036e-06,
1906
+ "loss": 0.5702,
1907
+ "step": 271
1908
+ },
1909
+ {
1910
+ "epoch": 1.4702702702702704,
1911
+ "grad_norm": 1.2633764743804932,
1912
+ "learning_rate": 4.739908259207807e-06,
1913
+ "loss": 0.7085,
1914
+ "step": 272
1915
+ },
1916
+ {
1917
+ "epoch": 1.4756756756756757,
1918
+ "grad_norm": 1.2948144674301147,
1919
+ "learning_rate": 4.738019531080981e-06,
1920
+ "loss": 0.5646,
1921
+ "step": 273
1922
+ },
1923
+ {
1924
+ "epoch": 1.481081081081081,
1925
+ "grad_norm": 2.3876469135284424,
1926
+ "learning_rate": 4.7361243490864825e-06,
1927
+ "loss": 0.7329,
1928
+ "step": 274
1929
+ },
1930
+ {
1931
+ "epoch": 1.4864864864864864,
1932
+ "grad_norm": 1.3248780965805054,
1933
+ "learning_rate": 4.734222718689527e-06,
1934
+ "loss": 0.725,
1935
+ "step": 275
1936
+ },
1937
+ {
1938
+ "epoch": 1.491891891891892,
1939
+ "grad_norm": 1.1309552192687988,
1940
+ "learning_rate": 4.732314645373922e-06,
1941
+ "loss": 0.528,
1942
+ "step": 276
1943
+ },
1944
+ {
1945
+ "epoch": 1.4972972972972973,
1946
+ "grad_norm": 1.2555019855499268,
1947
+ "learning_rate": 4.730400134642055e-06,
1948
+ "loss": 0.6709,
1949
+ "step": 277
1950
+ },
1951
+ {
1952
+ "epoch": 1.5027027027027027,
1953
+ "grad_norm": 1.7555198669433594,
1954
+ "learning_rate": 4.728479192014879e-06,
1955
+ "loss": 0.8908,
1956
+ "step": 278
1957
+ },
1958
+ {
1959
+ "epoch": 1.5081081081081082,
1960
+ "grad_norm": 1.3300278186798096,
1961
+ "learning_rate": 4.726551823031895e-06,
1962
+ "loss": 0.6004,
1963
+ "step": 279
1964
+ },
1965
+ {
1966
+ "epoch": 1.5135135135135136,
1967
+ "grad_norm": 1.2033137083053589,
1968
+ "learning_rate": 4.7246180332511335e-06,
1969
+ "loss": 0.4787,
1970
+ "step": 280
1971
+ },
1972
+ {
1973
+ "epoch": 1.518918918918919,
1974
+ "grad_norm": 1.872157096862793,
1975
+ "learning_rate": 4.722677828249142e-06,
1976
+ "loss": 1.0758,
1977
+ "step": 281
1978
+ },
1979
+ {
1980
+ "epoch": 1.5243243243243243,
1981
+ "grad_norm": 1.8279941082000732,
1982
+ "learning_rate": 4.720731213620972e-06,
1983
+ "loss": 0.9075,
1984
+ "step": 282
1985
+ },
1986
+ {
1987
+ "epoch": 1.5297297297297296,
1988
+ "grad_norm": 1.7639377117156982,
1989
+ "learning_rate": 4.718778194980152e-06,
1990
+ "loss": 0.5633,
1991
+ "step": 283
1992
+ },
1993
+ {
1994
+ "epoch": 1.535135135135135,
1995
+ "grad_norm": 1.6155503988265991,
1996
+ "learning_rate": 4.7168187779586805e-06,
1997
+ "loss": 0.7207,
1998
+ "step": 284
1999
+ },
2000
+ {
2001
+ "epoch": 1.5405405405405406,
2002
+ "grad_norm": 1.489876389503479,
2003
+ "learning_rate": 4.71485296820701e-06,
2004
+ "loss": 0.5849,
2005
+ "step": 285
2006
+ },
2007
+ {
2008
+ "epoch": 1.545945945945946,
2009
+ "grad_norm": 1.0583961009979248,
2010
+ "learning_rate": 4.7128807713940245e-06,
2011
+ "loss": 0.4676,
2012
+ "step": 286
2013
+ },
2014
+ {
2015
+ "epoch": 1.5513513513513515,
2016
+ "grad_norm": 1.334418773651123,
2017
+ "learning_rate": 4.710902193207028e-06,
2018
+ "loss": 0.5563,
2019
+ "step": 287
2020
+ },
2021
+ {
2022
+ "epoch": 1.5567567567567568,
2023
+ "grad_norm": 1.4231315851211548,
2024
+ "learning_rate": 4.708917239351727e-06,
2025
+ "loss": 0.5223,
2026
+ "step": 288
2027
+ },
2028
+ {
2029
+ "epoch": 1.5621621621621622,
2030
+ "grad_norm": 1.6082526445388794,
2031
+ "learning_rate": 4.706925915552214e-06,
2032
+ "loss": 0.8345,
2033
+ "step": 289
2034
+ },
2035
+ {
2036
+ "epoch": 1.5675675675675675,
2037
+ "grad_norm": 1.4032248258590698,
2038
+ "learning_rate": 4.704928227550949e-06,
2039
+ "loss": 0.6494,
2040
+ "step": 290
2041
+ },
2042
+ {
2043
+ "epoch": 1.572972972972973,
2044
+ "grad_norm": 1.222618579864502,
2045
+ "learning_rate": 4.702924181108745e-06,
2046
+ "loss": 0.4307,
2047
+ "step": 291
2048
+ },
2049
+ {
2050
+ "epoch": 1.5783783783783782,
2051
+ "grad_norm": 1.067906379699707,
2052
+ "learning_rate": 4.700913782004755e-06,
2053
+ "loss": 0.4119,
2054
+ "step": 292
2055
+ },
2056
+ {
2057
+ "epoch": 1.5837837837837838,
2058
+ "grad_norm": 1.129477858543396,
2059
+ "learning_rate": 4.698897036036446e-06,
2060
+ "loss": 0.5509,
2061
+ "step": 293
2062
+ },
2063
+ {
2064
+ "epoch": 1.5891891891891892,
2065
+ "grad_norm": 1.4165019989013672,
2066
+ "learning_rate": 4.696873949019591e-06,
2067
+ "loss": 0.8256,
2068
+ "step": 294
2069
+ },
2070
+ {
2071
+ "epoch": 1.5945945945945947,
2072
+ "grad_norm": 1.0644030570983887,
2073
+ "learning_rate": 4.694844526788248e-06,
2074
+ "loss": 0.4359,
2075
+ "step": 295
2076
+ },
2077
+ {
2078
+ "epoch": 1.6,
2079
+ "grad_norm": 1.8361538648605347,
2080
+ "learning_rate": 4.692808775194745e-06,
2081
+ "loss": 0.4552,
2082
+ "step": 296
2083
+ },
2084
+ {
2085
+ "epoch": 1.6054054054054054,
2086
+ "grad_norm": 1.444913625717163,
2087
+ "learning_rate": 4.690766700109659e-06,
2088
+ "loss": 0.4292,
2089
+ "step": 297
2090
+ },
2091
+ {
2092
+ "epoch": 1.6108108108108108,
2093
+ "grad_norm": 2.089372396469116,
2094
+ "learning_rate": 4.688718307421807e-06,
2095
+ "loss": 0.816,
2096
+ "step": 298
2097
+ },
2098
+ {
2099
+ "epoch": 1.6162162162162161,
2100
+ "grad_norm": 1.5878456830978394,
2101
+ "learning_rate": 4.686663603038222e-06,
2102
+ "loss": 0.6136,
2103
+ "step": 299
2104
+ },
2105
+ {
2106
+ "epoch": 1.6216216216216215,
2107
+ "grad_norm": 1.5576132535934448,
2108
+ "learning_rate": 4.6846025928841365e-06,
2109
+ "loss": 0.7934,
2110
+ "step": 300
2111
+ },
2112
+ {
2113
+ "epoch": 1.627027027027027,
2114
+ "grad_norm": 1.2024751901626587,
2115
+ "learning_rate": 4.6825352829029705e-06,
2116
+ "loss": 0.483,
2117
+ "step": 301
2118
+ },
2119
+ {
2120
+ "epoch": 1.6324324324324324,
2121
+ "grad_norm": 1.245315432548523,
2122
+ "learning_rate": 4.68046167905631e-06,
2123
+ "loss": 0.4934,
2124
+ "step": 302
2125
+ },
2126
+ {
2127
+ "epoch": 1.637837837837838,
2128
+ "grad_norm": 5.609968185424805,
2129
+ "learning_rate": 4.678381787323889e-06,
2130
+ "loss": 0.7772,
2131
+ "step": 303
2132
+ },
2133
+ {
2134
+ "epoch": 1.6432432432432433,
2135
+ "grad_norm": 1.0703761577606201,
2136
+ "learning_rate": 4.676295613703577e-06,
2137
+ "loss": 0.7,
2138
+ "step": 304
2139
+ },
2140
+ {
2141
+ "epoch": 1.6486486486486487,
2142
+ "grad_norm": 1.2151726484298706,
2143
+ "learning_rate": 4.674203164211357e-06,
2144
+ "loss": 0.6555,
2145
+ "step": 305
2146
+ },
2147
+ {
2148
+ "epoch": 1.654054054054054,
2149
+ "grad_norm": 1.219373345375061,
2150
+ "learning_rate": 4.67210444488131e-06,
2151
+ "loss": 0.6336,
2152
+ "step": 306
2153
+ },
2154
+ {
2155
+ "epoch": 1.6594594594594594,
2156
+ "grad_norm": 1.2169171571731567,
2157
+ "learning_rate": 4.669999461765599e-06,
2158
+ "loss": 0.6469,
2159
+ "step": 307
2160
+ },
2161
+ {
2162
+ "epoch": 1.6648648648648647,
2163
+ "grad_norm": 1.4916467666625977,
2164
+ "learning_rate": 4.6678882209344474e-06,
2165
+ "loss": 0.7103,
2166
+ "step": 308
2167
+ },
2168
+ {
2169
+ "epoch": 1.6702702702702703,
2170
+ "grad_norm": 1.3828811645507812,
2171
+ "learning_rate": 4.665770728476127e-06,
2172
+ "loss": 0.6581,
2173
+ "step": 309
2174
+ },
2175
+ {
2176
+ "epoch": 1.6756756756756757,
2177
+ "grad_norm": 1.3913428783416748,
2178
+ "learning_rate": 4.663646990496939e-06,
2179
+ "loss": 0.6282,
2180
+ "step": 310
2181
+ },
2182
+ {
2183
+ "epoch": 1.6810810810810812,
2184
+ "grad_norm": 1.3026301860809326,
2185
+ "learning_rate": 4.661517013121189e-06,
2186
+ "loss": 0.8534,
2187
+ "step": 311
2188
+ },
2189
+ {
2190
+ "epoch": 1.6864864864864866,
2191
+ "grad_norm": 1.5348095893859863,
2192
+ "learning_rate": 4.659380802491181e-06,
2193
+ "loss": 0.623,
2194
+ "step": 312
2195
+ },
2196
+ {
2197
+ "epoch": 1.691891891891892,
2198
+ "grad_norm": 1.123472809791565,
2199
+ "learning_rate": 4.6572383647671915e-06,
2200
+ "loss": 0.3379,
2201
+ "step": 313
2202
+ },
2203
+ {
2204
+ "epoch": 1.6972972972972973,
2205
+ "grad_norm": 1.369256615638733,
2206
+ "learning_rate": 4.655089706127457e-06,
2207
+ "loss": 0.508,
2208
+ "step": 314
2209
+ },
2210
+ {
2211
+ "epoch": 1.7027027027027026,
2212
+ "grad_norm": 1.2412577867507935,
2213
+ "learning_rate": 4.652934832768148e-06,
2214
+ "loss": 0.4962,
2215
+ "step": 315
2216
+ },
2217
+ {
2218
+ "epoch": 1.708108108108108,
2219
+ "grad_norm": 1.0186675786972046,
2220
+ "learning_rate": 4.650773750903363e-06,
2221
+ "loss": 0.6075,
2222
+ "step": 316
2223
+ },
2224
+ {
2225
+ "epoch": 1.7135135135135136,
2226
+ "grad_norm": 1.147227168083191,
2227
+ "learning_rate": 4.6486064667651005e-06,
2228
+ "loss": 0.5862,
2229
+ "step": 317
2230
+ },
2231
+ {
2232
+ "epoch": 1.718918918918919,
2233
+ "grad_norm": 1.4134764671325684,
2234
+ "learning_rate": 4.646432986603245e-06,
2235
+ "loss": 0.7206,
2236
+ "step": 318
2237
+ },
2238
+ {
2239
+ "epoch": 1.7243243243243245,
2240
+ "grad_norm": 1.3340667486190796,
2241
+ "learning_rate": 4.644253316685552e-06,
2242
+ "loss": 0.6342,
2243
+ "step": 319
2244
+ },
2245
+ {
2246
+ "epoch": 1.7297297297297298,
2247
+ "grad_norm": 1.5757800340652466,
2248
+ "learning_rate": 4.6420674632976205e-06,
2249
+ "loss": 0.6304,
2250
+ "step": 320
2251
+ },
2252
+ {
2253
+ "epoch": 1.7351351351351352,
2254
+ "grad_norm": 1.1534565687179565,
2255
+ "learning_rate": 4.639875432742886e-06,
2256
+ "loss": 0.4819,
2257
+ "step": 321
2258
+ },
2259
+ {
2260
+ "epoch": 1.7405405405405405,
2261
+ "grad_norm": 1.6023612022399902,
2262
+ "learning_rate": 4.6376772313425975e-06,
2263
+ "loss": 0.6276,
2264
+ "step": 322
2265
+ },
2266
+ {
2267
+ "epoch": 1.7459459459459459,
2268
+ "grad_norm": 1.3401589393615723,
2269
+ "learning_rate": 4.635472865435795e-06,
2270
+ "loss": 0.7032,
2271
+ "step": 323
2272
+ },
2273
+ {
2274
+ "epoch": 1.7513513513513512,
2275
+ "grad_norm": 1.2210731506347656,
2276
+ "learning_rate": 4.6332623413792995e-06,
2277
+ "loss": 0.7097,
2278
+ "step": 324
2279
+ },
2280
+ {
2281
+ "epoch": 1.7567567567567568,
2282
+ "grad_norm": 1.0871502161026,
2283
+ "learning_rate": 4.6310456655476874e-06,
2284
+ "loss": 0.4096,
2285
+ "step": 325
2286
+ },
2287
+ {
2288
+ "epoch": 1.7621621621621621,
2289
+ "grad_norm": 1.2474088668823242,
2290
+ "learning_rate": 4.6288228443332786e-06,
2291
+ "loss": 0.477,
2292
+ "step": 326
2293
+ },
2294
+ {
2295
+ "epoch": 1.7675675675675677,
2296
+ "grad_norm": 1.584403157234192,
2297
+ "learning_rate": 4.626593884146111e-06,
2298
+ "loss": 0.7131,
2299
+ "step": 327
2300
+ },
2301
+ {
2302
+ "epoch": 1.772972972972973,
2303
+ "grad_norm": 1.2145472764968872,
2304
+ "learning_rate": 4.624358791413928e-06,
2305
+ "loss": 0.5804,
2306
+ "step": 328
2307
+ },
2308
+ {
2309
+ "epoch": 1.7783783783783784,
2310
+ "grad_norm": 1.5959826707839966,
2311
+ "learning_rate": 4.622117572582159e-06,
2312
+ "loss": 0.6566,
2313
+ "step": 329
2314
+ },
2315
+ {
2316
+ "epoch": 1.7837837837837838,
2317
+ "grad_norm": 1.5860193967819214,
2318
+ "learning_rate": 4.619870234113894e-06,
2319
+ "loss": 0.8559,
2320
+ "step": 330
2321
+ },
2322
+ {
2323
+ "epoch": 1.7891891891891891,
2324
+ "grad_norm": 1.2256473302841187,
2325
+ "learning_rate": 4.617616782489878e-06,
2326
+ "loss": 0.689,
2327
+ "step": 331
2328
+ },
2329
+ {
2330
+ "epoch": 1.7945945945945945,
2331
+ "grad_norm": 1.225199580192566,
2332
+ "learning_rate": 4.615357224208477e-06,
2333
+ "loss": 0.4402,
2334
+ "step": 332
2335
+ },
2336
+ {
2337
+ "epoch": 1.8,
2338
+ "grad_norm": 1.1491672992706299,
2339
+ "learning_rate": 4.613091565785674e-06,
2340
+ "loss": 0.7824,
2341
+ "step": 333
2342
+ },
2343
+ {
2344
+ "epoch": 1.8054054054054054,
2345
+ "grad_norm": 1.3914119005203247,
2346
+ "learning_rate": 4.610819813755038e-06,
2347
+ "loss": 0.5638,
2348
+ "step": 334
2349
+ },
2350
+ {
2351
+ "epoch": 1.810810810810811,
2352
+ "grad_norm": 1.3506330251693726,
2353
+ "learning_rate": 4.608541974667714e-06,
2354
+ "loss": 0.5044,
2355
+ "step": 335
2356
+ },
2357
+ {
2358
+ "epoch": 1.8162162162162163,
2359
+ "grad_norm": 1.0127602815628052,
2360
+ "learning_rate": 4.606258055092397e-06,
2361
+ "loss": 0.4999,
2362
+ "step": 336
2363
+ },
2364
+ {
2365
+ "epoch": 1.8216216216216217,
2366
+ "grad_norm": 1.0241906642913818,
2367
+ "learning_rate": 4.603968061615321e-06,
2368
+ "loss": 0.5348,
2369
+ "step": 337
2370
+ },
2371
+ {
2372
+ "epoch": 1.827027027027027,
2373
+ "grad_norm": 1.7195829153060913,
2374
+ "learning_rate": 4.601672000840231e-06,
2375
+ "loss": 0.9052,
2376
+ "step": 338
2377
+ },
2378
+ {
2379
+ "epoch": 1.8324324324324324,
2380
+ "grad_norm": 1.050235390663147,
2381
+ "learning_rate": 4.5993698793883715e-06,
2382
+ "loss": 0.3359,
2383
+ "step": 339
2384
+ },
2385
+ {
2386
+ "epoch": 1.8378378378378377,
2387
+ "grad_norm": 1.6477211713790894,
2388
+ "learning_rate": 4.597061703898462e-06,
2389
+ "loss": 0.884,
2390
+ "step": 340
2391
+ },
2392
+ {
2393
+ "epoch": 1.8432432432432433,
2394
+ "grad_norm": 1.1777819395065308,
2395
+ "learning_rate": 4.594747481026685e-06,
2396
+ "loss": 0.4623,
2397
+ "step": 341
2398
+ },
2399
+ {
2400
+ "epoch": 1.8486486486486486,
2401
+ "grad_norm": 1.1773953437805176,
2402
+ "learning_rate": 4.592427217446656e-06,
2403
+ "loss": 0.3919,
2404
+ "step": 342
2405
+ },
2406
+ {
2407
+ "epoch": 1.8540540540540542,
2408
+ "grad_norm": 1.306343674659729,
2409
+ "learning_rate": 4.590100919849413e-06,
2410
+ "loss": 0.8952,
2411
+ "step": 343
2412
+ },
2413
+ {
2414
+ "epoch": 1.8594594594594596,
2415
+ "grad_norm": 1.1577644348144531,
2416
+ "learning_rate": 4.587768594943396e-06,
2417
+ "loss": 0.6141,
2418
+ "step": 344
2419
+ },
2420
+ {
2421
+ "epoch": 1.864864864864865,
2422
+ "grad_norm": 1.2712492942810059,
2423
+ "learning_rate": 4.585430249454426e-06,
2424
+ "loss": 0.466,
2425
+ "step": 345
2426
+ },
2427
+ {
2428
+ "epoch": 1.8702702702702703,
2429
+ "grad_norm": 1.167790174484253,
2430
+ "learning_rate": 4.583085890125682e-06,
2431
+ "loss": 0.5936,
2432
+ "step": 346
2433
+ },
2434
+ {
2435
+ "epoch": 1.8756756756756756,
2436
+ "grad_norm": 1.1331733465194702,
2437
+ "learning_rate": 4.5807355237176896e-06,
2438
+ "loss": 0.6178,
2439
+ "step": 347
2440
+ },
2441
+ {
2442
+ "epoch": 1.881081081081081,
2443
+ "grad_norm": 1.7203991413116455,
2444
+ "learning_rate": 4.578379157008296e-06,
2445
+ "loss": 0.4501,
2446
+ "step": 348
2447
+ },
2448
+ {
2449
+ "epoch": 1.8864864864864865,
2450
+ "grad_norm": 1.278934359550476,
2451
+ "learning_rate": 4.57601679679265e-06,
2452
+ "loss": 0.5316,
2453
+ "step": 349
2454
+ },
2455
+ {
2456
+ "epoch": 1.8918918918918919,
2457
+ "grad_norm": 1.6801364421844482,
2458
+ "learning_rate": 4.573648449883188e-06,
2459
+ "loss": 0.6921,
2460
+ "step": 350
2461
+ },
2462
+ {
2463
+ "epoch": 1.8972972972972975,
2464
+ "grad_norm": 1.206931710243225,
2465
+ "learning_rate": 4.571274123109606e-06,
2466
+ "loss": 0.3769,
2467
+ "step": 351
2468
+ },
2469
+ {
2470
+ "epoch": 1.9027027027027028,
2471
+ "grad_norm": 1.2402894496917725,
2472
+ "learning_rate": 4.568893823318847e-06,
2473
+ "loss": 0.6402,
2474
+ "step": 352
2475
+ },
2476
+ {
2477
+ "epoch": 1.9081081081081082,
2478
+ "grad_norm": 1.080445408821106,
2479
+ "learning_rate": 4.566507557375077e-06,
2480
+ "loss": 0.566,
2481
+ "step": 353
2482
+ },
2483
+ {
2484
+ "epoch": 1.9135135135135135,
2485
+ "grad_norm": 1.348665714263916,
2486
+ "learning_rate": 4.5641153321596684e-06,
2487
+ "loss": 0.4279,
2488
+ "step": 354
2489
+ },
2490
+ {
2491
+ "epoch": 1.9189189189189189,
2492
+ "grad_norm": 1.4226737022399902,
2493
+ "learning_rate": 4.56171715457118e-06,
2494
+ "loss": 0.8447,
2495
+ "step": 355
2496
+ },
2497
+ {
2498
+ "epoch": 1.9243243243243242,
2499
+ "grad_norm": 1.2292863130569458,
2500
+ "learning_rate": 4.559313031525331e-06,
2501
+ "loss": 0.4845,
2502
+ "step": 356
2503
+ },
2504
+ {
2505
+ "epoch": 1.9297297297297298,
2506
+ "grad_norm": 1.283419132232666,
2507
+ "learning_rate": 4.55690296995499e-06,
2508
+ "loss": 0.5727,
2509
+ "step": 357
2510
+ },
2511
+ {
2512
+ "epoch": 1.9351351351351351,
2513
+ "grad_norm": 1.5438536405563354,
2514
+ "learning_rate": 4.554486976810149e-06,
2515
+ "loss": 0.9613,
2516
+ "step": 358
2517
+ },
2518
+ {
2519
+ "epoch": 1.9405405405405407,
2520
+ "grad_norm": 1.3380683660507202,
2521
+ "learning_rate": 4.552065059057906e-06,
2522
+ "loss": 0.6487,
2523
+ "step": 359
2524
+ },
2525
+ {
2526
+ "epoch": 1.945945945945946,
2527
+ "grad_norm": 1.5532201528549194,
2528
+ "learning_rate": 4.549637223682441e-06,
2529
+ "loss": 1.0415,
2530
+ "step": 360
2531
+ },
2532
+ {
2533
+ "epoch": 1.9513513513513514,
2534
+ "grad_norm": 1.449385643005371,
2535
+ "learning_rate": 4.547203477685005e-06,
2536
+ "loss": 0.7341,
2537
+ "step": 361
2538
+ },
2539
+ {
2540
+ "epoch": 1.9567567567567568,
2541
+ "grad_norm": 1.1266181468963623,
2542
+ "learning_rate": 4.544763828083888e-06,
2543
+ "loss": 0.5195,
2544
+ "step": 362
2545
+ },
2546
+ {
2547
+ "epoch": 1.962162162162162,
2548
+ "grad_norm": 1.336837649345398,
2549
+ "learning_rate": 4.542318281914405e-06,
2550
+ "loss": 0.7062,
2551
+ "step": 363
2552
+ },
2553
+ {
2554
+ "epoch": 1.9675675675675675,
2555
+ "grad_norm": 1.5888166427612305,
2556
+ "learning_rate": 4.53986684622888e-06,
2557
+ "loss": 0.7589,
2558
+ "step": 364
2559
+ },
2560
+ {
2561
+ "epoch": 1.972972972972973,
2562
+ "grad_norm": 1.2040711641311646,
2563
+ "learning_rate": 4.537409528096615e-06,
2564
+ "loss": 0.5315,
2565
+ "step": 365
2566
+ },
2567
+ {
2568
+ "epoch": 1.9783783783783784,
2569
+ "grad_norm": 1.4700770378112793,
2570
+ "learning_rate": 4.534946334603879e-06,
2571
+ "loss": 0.4812,
2572
+ "step": 366
2573
+ },
2574
+ {
2575
+ "epoch": 1.983783783783784,
2576
+ "grad_norm": 1.3596259355545044,
2577
+ "learning_rate": 4.532477272853882e-06,
2578
+ "loss": 0.4959,
2579
+ "step": 367
2580
+ },
2581
+ {
2582
+ "epoch": 1.9891891891891893,
2583
+ "grad_norm": 1.2517650127410889,
2584
+ "learning_rate": 4.530002349966759e-06,
2585
+ "loss": 0.3696,
2586
+ "step": 368
2587
+ },
2588
+ {
2589
+ "epoch": 1.9945945945945946,
2590
+ "grad_norm": 2.6605710983276367,
2591
+ "learning_rate": 4.5275215730795445e-06,
2592
+ "loss": 0.5731,
2593
+ "step": 369
2594
+ },
2595
+ {
2596
+ "epoch": 2.0,
2597
+ "grad_norm": 1.7627352476119995,
2598
+ "learning_rate": 4.525034949346156e-06,
2599
+ "loss": 0.5182,
2600
+ "step": 370
2601
+ }
2602
+ ],
2603
+ "logging_steps": 1,
2604
+ "max_steps": 1850,
2605
+ "num_input_tokens_seen": 0,
2606
+ "num_train_epochs": 10,
2607
+ "save_steps": 500,
2608
+ "stateful_callbacks": {
2609
+ "TrainerControl": {
2610
+ "args": {
2611
+ "should_epoch_stop": false,
2612
+ "should_evaluate": false,
2613
+ "should_log": false,
2614
+ "should_save": true,
2615
+ "should_training_stop": false
2616
+ },
2617
+ "attributes": {}
2618
+ }
2619
+ },
2620
+ "total_flos": 1.0251101581973914e+17,
2621
+ "train_batch_size": 1,
2622
+ "trial_name": null,
2623
+ "trial_params": null
2624
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-370/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-555/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
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|im_end|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
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
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-555/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-740/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
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-740/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.55.0"
6
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-740/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-740/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
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|im_end|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
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
+ }
qwen2_5_math_7b/limo_filtered_incorrect/checkpoint-740/vocab.json ADDED
The diff for this file is too large to render. See raw diff