zhuoranyang commited on
Commit
7dc55d5
·
verified ·
1 Parent(s): b59a491

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
chat_template.jinja ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {{- messages[0].content + '\n\n' }}
5
+ {%- endif %}
6
+ {{- "# 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>" }}
7
+ {%- for tool in tools %}
8
+ {{- "\n" }}
9
+ {{- tool | tojson }}
10
+ {%- endfor %}
11
+ {{- "\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" }}
12
+ {%- else %}
13
+ {%- if messages[0].role == 'system' %}
14
+ {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
15
+ {%- endif %}
16
+ {%- endif %}
17
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
18
+ {%- for message in messages[::-1] %}
19
+ {%- set index = (messages|length - 1) - loop.index0 %}
20
+ {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
21
+ {%- set ns.multi_step_tool = false %}
22
+ {%- set ns.last_query_index = index %}
23
+ {%- endif %}
24
+ {%- endfor %}
25
+ {%- for message in messages %}
26
+ {%- if message.content is string %}
27
+ {%- set content = message.content %}
28
+ {%- else %}
29
+ {%- set content = '' %}
30
+ {%- endif %}
31
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
32
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
33
+ {%- elif message.role == "assistant" %}
34
+ {%- set reasoning_content = '' %}
35
+ {%- if message.reasoning_content is string %}
36
+ {%- set reasoning_content = message.reasoning_content %}
37
+ {%- else %}
38
+ {%- if '</think>' in content %}
39
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
40
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
41
+ {%- endif %}
42
+ {%- endif %}
43
+ {%- if loop.index0 > ns.last_query_index %}
44
+ {%- if loop.last or (not loop.last and reasoning_content) %}
45
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
46
+ {%- else %}
47
+ {{- '<|im_start|>' + message.role + '\n' + content }}
48
+ {%- endif %}
49
+ {%- else %}
50
+ {{- '<|im_start|>' + message.role + '\n' + content }}
51
+ {%- endif %}
52
+ {%- if message.tool_calls %}
53
+ {%- for tool_call in message.tool_calls %}
54
+ {%- if (loop.first and content) or (not loop.first) %}
55
+ {{- '\n' }}
56
+ {%- endif %}
57
+ {%- if tool_call.function %}
58
+ {%- set tool_call = tool_call.function %}
59
+ {%- endif %}
60
+ {{- '<tool_call>\n{"name": "' }}
61
+ {{- tool_call.name }}
62
+ {{- '", "arguments": ' }}
63
+ {%- if tool_call.arguments is string %}
64
+ {{- tool_call.arguments }}
65
+ {%- else %}
66
+ {{- tool_call.arguments | tojson }}
67
+ {%- endif %}
68
+ {{- '}\n</tool_call>' }}
69
+ {%- endfor %}
70
+ {%- endif %}
71
+ {{- '<|im_end|>\n' }}
72
+ {%- elif message.role == "tool" %}
73
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
74
+ {{- '<|im_start|>user' }}
75
+ {%- endif %}
76
+ {{- '\n<tool_response>\n' }}
77
+ {{- content }}
78
+ {{- '\n</tool_response>' }}
79
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
80
+ {{- '<|im_end|>\n' }}
81
+ {%- endif %}
82
+ {%- endif %}
83
+ {%- endfor %}
84
+ {%- if add_generation_prompt %}
85
+ {{- '<|im_start|>assistant\n' }}
86
+ {%- if enable_thinking is defined and enable_thinking is false %}
87
+ {{- '<think>\n\n</think>\n\n' }}
88
+ {%- endif %}
89
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "dtype": "bfloat16",
9
+ "eos_token_id": 151645,
10
+ "head_dim": 128,
11
+ "hidden_act": "silu",
12
+ "hidden_size": 4096,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 12288,
15
+ "layer_types": [
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
+ "full_attention",
42
+ "full_attention",
43
+ "full_attention",
44
+ "full_attention",
45
+ "full_attention",
46
+ "full_attention",
47
+ "full_attention",
48
+ "full_attention",
49
+ "full_attention",
50
+ "full_attention",
51
+ "full_attention"
52
+ ],
53
+ "max_position_embeddings": 40960,
54
+ "max_window_layers": 36,
55
+ "model_type": "qwen3",
56
+ "num_attention_heads": 32,
57
+ "num_hidden_layers": 36,
58
+ "num_key_value_heads": 8,
59
+ "rms_norm_eps": 1e-06,
60
+ "rope_scaling": null,
61
+ "rope_theta": 1000000,
62
+ "sliding_window": null,
63
+ "tie_word_embeddings": false,
64
+ "transformers_version": "4.56.2",
65
+ "use_cache": true,
66
+ "use_sliding_window": false,
67
+ "vocab_size": 151936
68
+ }
conversion_info.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model": "Qwen/Qwen3-8B",
3
+ "lora_checkpoint": "/home/zhuoran-nebius/repos/price_bargaining_agent/storage/bargaining/8B_seller_20250927_140329_completed/checkpoint-60",
4
+ "lora_rank": 64,
5
+ "lora_alpha": 128,
6
+ "conversion_note": "Merged LoRA adapter into base model"
7
+ }
generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "temperature": 0.6,
10
+ "top_k": 20,
11
+ "top_p": 0.95,
12
+ "transformers_version": "4.56.2"
13
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0d7eef59149586d2c22520880858c74b6047b6b556bb8429d43c6a7e1aaed5b6
3
+ size 4902257696
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f46d6fe177c0f4168738fbb789dd8f15f88c48e9c444dbc12a64277b9c5f35db
3
+ size 4915960368
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bf254bcaa49e44d0758061c770660d5468cbbdab3128476acb6ed7bbd61831a9
3
+ size 4983068496
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2649ee0ca088bc26e3748c9d1009d7b95fa73d286b59b42a613e878002782c8e
3
+ size 1580230264
model.safetensors.index.json ADDED
@@ -0,0 +1,407 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 8190735360,
4
+ "total_size": 16381470720
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00004-of-00004.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
31
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
32
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.15.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.16.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
110
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.17.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
122
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.18.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
125
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.layers.18.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
129
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
130
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
134
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.19.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
137
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.19.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
139
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
141
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
142
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
143
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
144
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
145
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
146
+ "model.layers.2.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
147
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
148
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
149
+ "model.layers.2.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
150
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
151
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
152
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00004.safetensors",
153
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
154
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
155
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
156
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
157
+ "model.layers.20.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
158
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
159
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
160
+ "model.layers.20.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
161
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
162
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
163
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00004.safetensors",
164
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
165
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
166
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
167
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
168
+ "model.layers.21.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
169
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
170
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
171
+ "model.layers.21.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
172
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
173
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
174
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.22.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
180
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
181
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
182
+ "model.layers.22.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
183
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
184
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
185
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.23.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.23.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.24.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.24.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.25.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.25.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
218
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
221
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
223
+ "model.layers.26.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.26.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.27.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.27.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
242
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
245
+ "model.layers.28.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
247
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.28.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
254
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.29.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
257
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
259
+ "model.layers.29.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
261
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
262
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
274
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
275
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
276
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
277
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
278
+ "model.layers.30.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
279
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
280
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
281
+ "model.layers.30.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
282
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
283
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
284
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
285
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
286
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
287
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
288
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
289
+ "model.layers.31.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
290
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
291
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
292
+ "model.layers.31.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
293
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
294
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
295
+ "model.layers.32.input_layernorm.weight": "model-00003-of-00004.safetensors",
296
+ "model.layers.32.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
297
+ "model.layers.32.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
298
+ "model.layers.32.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
299
+ "model.layers.32.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
300
+ "model.layers.32.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
301
+ "model.layers.32.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
302
+ "model.layers.32.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
303
+ "model.layers.32.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
304
+ "model.layers.32.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
305
+ "model.layers.32.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
306
+ "model.layers.33.input_layernorm.weight": "model-00003-of-00004.safetensors",
307
+ "model.layers.33.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
308
+ "model.layers.33.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
309
+ "model.layers.33.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
310
+ "model.layers.33.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
311
+ "model.layers.33.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
312
+ "model.layers.33.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
313
+ "model.layers.33.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
314
+ "model.layers.33.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
315
+ "model.layers.33.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
316
+ "model.layers.33.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
317
+ "model.layers.34.input_layernorm.weight": "model-00003-of-00004.safetensors",
318
+ "model.layers.34.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
319
+ "model.layers.34.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
320
+ "model.layers.34.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
321
+ "model.layers.34.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
322
+ "model.layers.34.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
323
+ "model.layers.34.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
324
+ "model.layers.34.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
325
+ "model.layers.34.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
326
+ "model.layers.34.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
327
+ "model.layers.34.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
328
+ "model.layers.35.input_layernorm.weight": "model-00004-of-00004.safetensors",
329
+ "model.layers.35.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
330
+ "model.layers.35.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
331
+ "model.layers.35.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
332
+ "model.layers.35.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
333
+ "model.layers.35.self_attn.k_norm.weight": "model-00004-of-00004.safetensors",
334
+ "model.layers.35.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
335
+ "model.layers.35.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
336
+ "model.layers.35.self_attn.q_norm.weight": "model-00004-of-00004.safetensors",
337
+ "model.layers.35.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
338
+ "model.layers.35.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
339
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
340
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
341
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
342
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
343
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
344
+ "model.layers.4.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
345
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
346
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
347
+ "model.layers.4.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
348
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
349
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
350
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
351
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
352
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
353
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
354
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
355
+ "model.layers.5.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
356
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
357
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
358
+ "model.layers.5.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
359
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
360
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
361
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
362
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
363
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
364
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
365
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
366
+ "model.layers.6.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
367
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
368
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
369
+ "model.layers.6.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
370
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
371
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
372
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
373
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
374
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
375
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
376
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
377
+ "model.layers.7.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
378
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
379
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
380
+ "model.layers.7.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
381
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
382
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
383
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
384
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
385
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
386
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
387
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
388
+ "model.layers.8.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
389
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
390
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
391
+ "model.layers.8.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
392
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
393
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
394
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
395
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
396
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
397
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
398
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
399
+ "model.layers.9.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
400
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
401
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
402
+ "model.layers.9.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
403
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
404
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
405
+ "model.norm.weight": "model-00004-of-00004.safetensors"
406
+ }
407
+ }
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
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
3
+ size 11422654
tokenizer_config.json ADDED
@@ -0,0 +1,239 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "clean_up_tokenization_spaces": false,
231
+ "eos_token": "<|im_end|>",
232
+ "errors": "replace",
233
+ "extra_special_tokens": {},
234
+ "model_max_length": 131072,
235
+ "pad_token": "<|endoftext|>",
236
+ "split_special_tokens": false,
237
+ "tokenizer_class": "Qwen2Tokenizer",
238
+ "unk_token": null
239
+ }
trainer_state.json ADDED
@@ -0,0 +1,1714 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.1282051282051282,
6
+ "eval_steps": 500,
7
+ "global_step": 60,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "clip_ratio/high_max": 0.0,
14
+ "clip_ratio/high_mean": 0.0,
15
+ "clip_ratio/low_mean": 0.0,
16
+ "clip_ratio/low_min": 0.0,
17
+ "clip_ratio/region_mean": 0.0,
18
+ "completions/clipped_ratio": 0.0,
19
+ "completions/max_length": 8692.0,
20
+ "completions/max_terminated_length": 8692.0,
21
+ "completions/mean_length": 5263.90625,
22
+ "completions/mean_terminated_length": 5263.90625,
23
+ "completions/min_length": 2046.0,
24
+ "completions/min_terminated_length": 2046.0,
25
+ "epoch": 0.002136752136752137,
26
+ "grad_norm": 0.13524121910390705,
27
+ "kl": 0.0,
28
+ "learning_rate": 0.0,
29
+ "loss": 0.0183,
30
+ "num_tokens": 321111.0,
31
+ "reward": 13.089506149291992,
32
+ "reward_std": 5.828127861022949,
33
+ "rewards/constraint_satisfaction_reward_func": 1.0,
34
+ "rewards/successful_code_execution_reward_func": 0.8307911157608032,
35
+ "rewards/successful_no_deal_reward_func": 0.453125,
36
+ "rewards/successful_parsing_reward_func": 0.8847842216491699,
37
+ "rewards/utility_reward_func": 0.398827463388443,
38
+ "step": 1
39
+ },
40
+ {
41
+ "clip_ratio/high_max": 0.0,
42
+ "clip_ratio/high_mean": 0.0,
43
+ "clip_ratio/low_mean": 0.0,
44
+ "clip_ratio/low_min": 0.0,
45
+ "clip_ratio/region_mean": 0.0,
46
+ "completions/clipped_ratio": 0.03125,
47
+ "completions/max_length": 8858.0,
48
+ "completions/max_terminated_length": 8858.0,
49
+ "completions/mean_length": 5393.53125,
50
+ "completions/mean_terminated_length": 5567.5161290322585,
51
+ "completions/min_length": 0.0,
52
+ "completions/min_terminated_length": 2933.0,
53
+ "epoch": 0.004273504273504274,
54
+ "grad_norm": 0.14125326998143348,
55
+ "kl": 0.0,
56
+ "learning_rate": 4.000000000000001e-06,
57
+ "loss": 0.0127,
58
+ "num_tokens": 681435.0,
59
+ "reward": 10.29290771484375,
60
+ "reward_std": 9.241214752197266,
61
+ "rewards/constraint_satisfaction_reward_func": 1.0,
62
+ "rewards/successful_code_execution_reward_func": 0.7181423306465149,
63
+ "rewards/successful_no_deal_reward_func": 0.34375,
64
+ "rewards/successful_parsing_reward_func": 0.7481849789619446,
65
+ "rewards/utility_reward_func": 0.31008416414260864,
66
+ "step": 2
67
+ },
68
+ {
69
+ "clip_ratio/high_max": 0.0,
70
+ "clip_ratio/high_mean": 0.0,
71
+ "clip_ratio/low_mean": 0.0,
72
+ "clip_ratio/low_min": 0.0,
73
+ "clip_ratio/region_mean": 0.0,
74
+ "completions/clipped_ratio": 0.03125,
75
+ "completions/max_length": 10108.0,
76
+ "completions/max_terminated_length": 10108.0,
77
+ "completions/mean_length": 5457.53125,
78
+ "completions/mean_terminated_length": 5633.580645161291,
79
+ "completions/min_length": 0.0,
80
+ "completions/min_terminated_length": 2403.0,
81
+ "epoch": 0.00641025641025641,
82
+ "grad_norm": 0.12193342337851935,
83
+ "kl": 0.003643035888671875,
84
+ "learning_rate": 8.000000000000001e-06,
85
+ "loss": -0.0081,
86
+ "num_tokens": 1012660.0,
87
+ "reward": 13.357504844665527,
88
+ "reward_std": 5.522988796234131,
89
+ "rewards/constraint_satisfaction_reward_func": 1.0,
90
+ "rewards/successful_code_execution_reward_func": 0.8510912656784058,
91
+ "rewards/successful_no_deal_reward_func": 0.421875,
92
+ "rewards/successful_parsing_reward_func": 0.9299927949905396,
93
+ "rewards/utility_reward_func": 0.40858402848243713,
94
+ "step": 3
95
+ },
96
+ {
97
+ "clip_ratio/high_max": 0.0,
98
+ "clip_ratio/high_mean": 0.0,
99
+ "clip_ratio/low_mean": 0.0,
100
+ "clip_ratio/low_min": 0.0,
101
+ "clip_ratio/region_mean": 0.0,
102
+ "completions/clipped_ratio": 0.03125,
103
+ "completions/max_length": 10325.0,
104
+ "completions/max_terminated_length": 10325.0,
105
+ "completions/mean_length": 5183.53125,
106
+ "completions/mean_terminated_length": 5350.741935483871,
107
+ "completions/min_length": 0.0,
108
+ "completions/min_terminated_length": 2541.0,
109
+ "epoch": 0.008547008547008548,
110
+ "grad_norm": 0.09992499424145265,
111
+ "kl": 0.0036802291870117188,
112
+ "learning_rate": 1.2e-05,
113
+ "loss": -0.0117,
114
+ "num_tokens": 1352107.0,
115
+ "reward": 11.811685562133789,
116
+ "reward_std": 5.946799278259277,
117
+ "rewards/constraint_satisfaction_reward_func": 1.0,
118
+ "rewards/successful_code_execution_reward_func": 0.8307291865348816,
119
+ "rewards/successful_no_deal_reward_func": 0.390625,
120
+ "rewards/successful_parsing_reward_func": 0.8160351514816284,
121
+ "rewards/utility_reward_func": 0.35854610800743103,
122
+ "step": 4
123
+ },
124
+ {
125
+ "clip_ratio/high_max": 0.0,
126
+ "clip_ratio/high_mean": 0.0,
127
+ "clip_ratio/low_mean": 0.0,
128
+ "clip_ratio/low_min": 0.0,
129
+ "clip_ratio/region_mean": 0.0,
130
+ "completions/clipped_ratio": 0.03125,
131
+ "completions/max_length": 10002.0,
132
+ "completions/max_terminated_length": 10002.0,
133
+ "completions/mean_length": 6005.25,
134
+ "completions/mean_terminated_length": 6198.967741935484,
135
+ "completions/min_length": 0.0,
136
+ "completions/min_terminated_length": 2885.0,
137
+ "epoch": 0.010683760683760684,
138
+ "grad_norm": 0.09868345069469578,
139
+ "kl": 0.0058193206787109375,
140
+ "learning_rate": 1.6000000000000003e-05,
141
+ "loss": 0.0168,
142
+ "num_tokens": 1706933.0,
143
+ "reward": 6.7459492683410645,
144
+ "reward_std": 3.5795390605926514,
145
+ "rewards/constraint_satisfaction_reward_func": 1.0,
146
+ "rewards/successful_code_execution_reward_func": 0.8775534629821777,
147
+ "rewards/successful_no_deal_reward_func": 0.578125,
148
+ "rewards/successful_parsing_reward_func": 0.9091060161590576,
149
+ "rewards/utility_reward_func": 0.18297193944454193,
150
+ "step": 5
151
+ },
152
+ {
153
+ "clip_ratio/high_max": 0.0,
154
+ "clip_ratio/high_mean": 0.0,
155
+ "clip_ratio/low_mean": 0.0,
156
+ "clip_ratio/low_min": 0.0,
157
+ "clip_ratio/region_mean": 0.0,
158
+ "completions/clipped_ratio": 0.03125,
159
+ "completions/max_length": 10113.0,
160
+ "completions/max_terminated_length": 10113.0,
161
+ "completions/mean_length": 5148.71875,
162
+ "completions/mean_terminated_length": 5314.806451612903,
163
+ "completions/min_length": 0.0,
164
+ "completions/min_terminated_length": 2663.0,
165
+ "epoch": 0.01282051282051282,
166
+ "grad_norm": 0.07418858759257596,
167
+ "kl": 0.014812469482421875,
168
+ "learning_rate": 2e-05,
169
+ "loss": 0.019,
170
+ "num_tokens": 2024143.0,
171
+ "reward": 7.305600643157959,
172
+ "reward_std": 2.82883358001709,
173
+ "rewards/constraint_satisfaction_reward_func": 1.0,
174
+ "rewards/successful_code_execution_reward_func": 0.8985738754272461,
175
+ "rewards/successful_no_deal_reward_func": 0.5625,
176
+ "rewards/successful_parsing_reward_func": 0.8988806009292603,
177
+ "rewards/utility_reward_func": 0.2021118402481079,
178
+ "step": 6
179
+ },
180
+ {
181
+ "clip_ratio/high_max": 0.0,
182
+ "clip_ratio/high_mean": 0.0,
183
+ "clip_ratio/low_mean": 0.0,
184
+ "clip_ratio/low_min": 0.0,
185
+ "clip_ratio/region_mean": 0.0,
186
+ "completions/clipped_ratio": 0.0625,
187
+ "completions/max_length": 9059.0,
188
+ "completions/max_terminated_length": 9059.0,
189
+ "completions/mean_length": 5224.0625,
190
+ "completions/mean_terminated_length": 5572.333333333333,
191
+ "completions/min_length": 0.0,
192
+ "completions/min_terminated_length": 2033.0,
193
+ "epoch": 0.014957264957264958,
194
+ "grad_norm": 0.0770740966039767,
195
+ "kl": 0.023563385009765625,
196
+ "learning_rate": 2e-05,
197
+ "loss": -0.0037,
198
+ "num_tokens": 2368266.0,
199
+ "reward": 7.440418243408203,
200
+ "reward_std": 3.8883907794952393,
201
+ "rewards/constraint_satisfaction_reward_func": 0.984375,
202
+ "rewards/successful_code_execution_reward_func": 0.7994791865348816,
203
+ "rewards/successful_no_deal_reward_func": 0.53125,
204
+ "rewards/successful_parsing_reward_func": 0.8668774366378784,
205
+ "rewards/utility_reward_func": 0.20834481716156006,
206
+ "step": 7
207
+ },
208
+ {
209
+ "clip_ratio/high_max": 0.0,
210
+ "clip_ratio/high_mean": 0.0,
211
+ "clip_ratio/low_mean": 0.0,
212
+ "clip_ratio/low_min": 0.0,
213
+ "clip_ratio/region_mean": 0.0,
214
+ "completions/clipped_ratio": 0.0,
215
+ "completions/max_length": 10161.0,
216
+ "completions/max_terminated_length": 10161.0,
217
+ "completions/mean_length": 6345.90625,
218
+ "completions/mean_terminated_length": 6345.90625,
219
+ "completions/min_length": 3192.0,
220
+ "completions/min_terminated_length": 3192.0,
221
+ "epoch": 0.017094017094017096,
222
+ "grad_norm": 0.13080769358982583,
223
+ "kl": 0.03223419189453125,
224
+ "learning_rate": 2e-05,
225
+ "loss": 0.0234,
226
+ "num_tokens": 2727219.0,
227
+ "reward": 6.599692344665527,
228
+ "reward_std": 3.7256505489349365,
229
+ "rewards/constraint_satisfaction_reward_func": 1.0,
230
+ "rewards/successful_code_execution_reward_func": 0.8149601221084595,
231
+ "rewards/successful_no_deal_reward_func": 0.59375,
232
+ "rewards/successful_parsing_reward_func": 0.8814631700515747,
233
+ "rewards/utility_reward_func": 0.17787665128707886,
234
+ "step": 8
235
+ },
236
+ {
237
+ "clip_ratio/high_max": 0.0,
238
+ "clip_ratio/high_mean": 0.0,
239
+ "clip_ratio/low_mean": 0.0,
240
+ "clip_ratio/low_min": 0.0,
241
+ "clip_ratio/region_mean": 0.0,
242
+ "completions/clipped_ratio": 0.0,
243
+ "completions/max_length": 8574.0,
244
+ "completions/max_terminated_length": 8574.0,
245
+ "completions/mean_length": 5724.71875,
246
+ "completions/mean_terminated_length": 5724.71875,
247
+ "completions/min_length": 3321.0,
248
+ "completions/min_terminated_length": 3321.0,
249
+ "epoch": 0.019230769230769232,
250
+ "grad_norm": 0.2718145594331439,
251
+ "kl": 0.06011962890625,
252
+ "learning_rate": 2e-05,
253
+ "loss": 0.0504,
254
+ "num_tokens": 3052863.0,
255
+ "reward": 2.8698644638061523,
256
+ "reward_std": 1.5825773477554321,
257
+ "rewards/constraint_satisfaction_reward_func": 1.0,
258
+ "rewards/successful_code_execution_reward_func": 0.9517256021499634,
259
+ "rewards/successful_no_deal_reward_func": 0.84375,
260
+ "rewards/successful_parsing_reward_func": 0.946114182472229,
261
+ "rewards/utility_reward_func": 0.04454435780644417,
262
+ "step": 9
263
+ },
264
+ {
265
+ "clip_ratio/high_max": 0.0,
266
+ "clip_ratio/high_mean": 0.0,
267
+ "clip_ratio/low_mean": 0.0,
268
+ "clip_ratio/low_min": 0.0,
269
+ "clip_ratio/region_mean": 0.0,
270
+ "completions/clipped_ratio": 0.0,
271
+ "completions/max_length": 9763.0,
272
+ "completions/max_terminated_length": 9763.0,
273
+ "completions/mean_length": 5663.1875,
274
+ "completions/mean_terminated_length": 5663.1875,
275
+ "completions/min_length": 2606.0,
276
+ "completions/min_terminated_length": 2606.0,
277
+ "epoch": 0.021367521367521368,
278
+ "grad_norm": 0.1574477673918289,
279
+ "kl": 0.047687530517578125,
280
+ "learning_rate": 2e-05,
281
+ "loss": -0.0117,
282
+ "num_tokens": 3387072.0,
283
+ "reward": 2.5430192947387695,
284
+ "reward_std": 1.3082820177078247,
285
+ "rewards/constraint_satisfaction_reward_func": 1.0,
286
+ "rewards/successful_code_execution_reward_func": 0.9754464626312256,
287
+ "rewards/successful_no_deal_reward_func": 0.8125,
288
+ "rewards/successful_parsing_reward_func": 0.9150803089141846,
289
+ "rewards/utility_reward_func": 0.034715551882982254,
290
+ "step": 10
291
+ },
292
+ {
293
+ "clip_ratio/high_max": 0.0,
294
+ "clip_ratio/high_mean": 0.0,
295
+ "clip_ratio/low_mean": 0.0,
296
+ "clip_ratio/low_min": 0.0,
297
+ "clip_ratio/region_mean": 0.0,
298
+ "completions/clipped_ratio": 0.0625,
299
+ "completions/max_length": 9994.0,
300
+ "completions/max_terminated_length": 9994.0,
301
+ "completions/mean_length": 5518.375,
302
+ "completions/mean_terminated_length": 5886.266666666666,
303
+ "completions/min_length": 0.0,
304
+ "completions/min_terminated_length": 3232.0,
305
+ "epoch": 0.023504273504273504,
306
+ "grad_norm": 0.14592223795177592,
307
+ "kl": 0.050079345703125,
308
+ "learning_rate": 2e-05,
309
+ "loss": -0.0075,
310
+ "num_tokens": 3740116.0,
311
+ "reward": 2.410231828689575,
312
+ "reward_std": 0.9183810949325562,
313
+ "rewards/constraint_satisfaction_reward_func": 1.0,
314
+ "rewards/successful_code_execution_reward_func": 0.9459468126296997,
315
+ "rewards/successful_no_deal_reward_func": 0.828125,
316
+ "rewards/successful_parsing_reward_func": 0.8924851417541504,
317
+ "rewards/utility_reward_func": 0.029942119494080544,
318
+ "step": 11
319
+ },
320
+ {
321
+ "clip_ratio/high_max": 0.0,
322
+ "clip_ratio/high_mean": 0.0,
323
+ "clip_ratio/low_mean": 0.0,
324
+ "clip_ratio/low_min": 0.0,
325
+ "clip_ratio/region_mean": 0.0,
326
+ "completions/clipped_ratio": 0.0,
327
+ "completions/max_length": 9545.0,
328
+ "completions/max_terminated_length": 9545.0,
329
+ "completions/mean_length": 6346.125,
330
+ "completions/mean_terminated_length": 6346.125,
331
+ "completions/min_length": 3742.0,
332
+ "completions/min_terminated_length": 3742.0,
333
+ "epoch": 0.02564102564102564,
334
+ "grad_norm": 3.311026969817496,
335
+ "kl": 0.34075927734375,
336
+ "learning_rate": 2e-05,
337
+ "loss": 0.0373,
338
+ "num_tokens": 4094936.0,
339
+ "reward": 2.6738317012786865,
340
+ "reward_std": 0.92072594165802,
341
+ "rewards/constraint_satisfaction_reward_func": 1.0,
342
+ "rewards/successful_code_execution_reward_func": 0.8866342306137085,
343
+ "rewards/successful_no_deal_reward_func": 0.84375,
344
+ "rewards/successful_parsing_reward_func": 0.9354434013366699,
345
+ "rewards/utility_reward_func": 0.038262464106082916,
346
+ "step": 12
347
+ },
348
+ {
349
+ "clip_ratio/high_max": 0.0,
350
+ "clip_ratio/high_mean": 0.0,
351
+ "clip_ratio/low_mean": 0.0,
352
+ "clip_ratio/low_min": 0.0,
353
+ "clip_ratio/region_mean": 0.0,
354
+ "completions/clipped_ratio": 0.0,
355
+ "completions/max_length": 10170.0,
356
+ "completions/max_terminated_length": 10170.0,
357
+ "completions/mean_length": 5580.75,
358
+ "completions/mean_terminated_length": 5580.75,
359
+ "completions/min_length": 1848.0,
360
+ "completions/min_terminated_length": 1848.0,
361
+ "epoch": 0.027777777777777776,
362
+ "grad_norm": 18.64484255853941,
363
+ "kl": 0.9246597290039062,
364
+ "learning_rate": 2e-05,
365
+ "loss": 0.0331,
366
+ "num_tokens": 4433282.0,
367
+ "reward": 12.720104217529297,
368
+ "reward_std": 8.21227741241455,
369
+ "rewards/constraint_satisfaction_reward_func": 1.0,
370
+ "rewards/successful_code_execution_reward_func": 0.7824472188949585,
371
+ "rewards/successful_no_deal_reward_func": 0.40625,
372
+ "rewards/successful_parsing_reward_func": 0.8727678060531616,
373
+ "rewards/utility_reward_func": 0.38827773928642273,
374
+ "step": 13
375
+ },
376
+ {
377
+ "clip_ratio/high_max": 0.0,
378
+ "clip_ratio/high_mean": 0.0,
379
+ "clip_ratio/low_mean": 0.0,
380
+ "clip_ratio/low_min": 0.0,
381
+ "clip_ratio/region_mean": 0.0,
382
+ "completions/clipped_ratio": 0.0,
383
+ "completions/max_length": 9335.0,
384
+ "completions/max_terminated_length": 9335.0,
385
+ "completions/mean_length": 5595.25,
386
+ "completions/mean_terminated_length": 5595.25,
387
+ "completions/min_length": 2111.0,
388
+ "completions/min_terminated_length": 2111.0,
389
+ "epoch": 0.029914529914529916,
390
+ "grad_norm": 0.07969555942261197,
391
+ "kl": 0.0496368408203125,
392
+ "learning_rate": 2e-05,
393
+ "loss": 0.0091,
394
+ "num_tokens": 4779367.0,
395
+ "reward": 13.972558975219727,
396
+ "reward_std": 6.738990306854248,
397
+ "rewards/constraint_satisfaction_reward_func": 0.984375,
398
+ "rewards/successful_code_execution_reward_func": 0.8297809958457947,
399
+ "rewards/successful_no_deal_reward_func": 0.421875,
400
+ "rewards/successful_parsing_reward_func": 0.8079355955123901,
401
+ "rewards/utility_reward_func": 0.4298241138458252,
402
+ "step": 14
403
+ },
404
+ {
405
+ "clip_ratio/high_max": 0.0,
406
+ "clip_ratio/high_mean": 0.0,
407
+ "clip_ratio/low_mean": 0.0,
408
+ "clip_ratio/low_min": 0.0,
409
+ "clip_ratio/region_mean": 0.0,
410
+ "completions/clipped_ratio": 0.03125,
411
+ "completions/max_length": 8997.0,
412
+ "completions/max_terminated_length": 8997.0,
413
+ "completions/mean_length": 5286.6875,
414
+ "completions/mean_terminated_length": 5457.225806451613,
415
+ "completions/min_length": 0.0,
416
+ "completions/min_terminated_length": 2698.0,
417
+ "epoch": 0.03205128205128205,
418
+ "grad_norm": 0.06101731197561454,
419
+ "kl": 0.05796051025390625,
420
+ "learning_rate": 2e-05,
421
+ "loss": 0.0022,
422
+ "num_tokens": 5122315.0,
423
+ "reward": 15.198302268981934,
424
+ "reward_std": 7.127710342407227,
425
+ "rewards/constraint_satisfaction_reward_func": 1.0,
426
+ "rewards/successful_code_execution_reward_func": 0.8440600633621216,
427
+ "rewards/successful_no_deal_reward_func": 0.4375,
428
+ "rewards/successful_parsing_reward_func": 0.8397558331489563,
429
+ "rewards/utility_reward_func": 0.4697473347187042,
430
+ "step": 15
431
+ },
432
+ {
433
+ "clip_ratio/high_max": 0.0,
434
+ "clip_ratio/high_mean": 0.0,
435
+ "clip_ratio/low_mean": 0.0,
436
+ "clip_ratio/low_min": 0.0,
437
+ "clip_ratio/region_mean": 0.0,
438
+ "completions/clipped_ratio": 0.03125,
439
+ "completions/max_length": 9528.0,
440
+ "completions/max_terminated_length": 9528.0,
441
+ "completions/mean_length": 5658.65625,
442
+ "completions/mean_terminated_length": 5841.193548387097,
443
+ "completions/min_length": 0.0,
444
+ "completions/min_terminated_length": 2804.0,
445
+ "epoch": 0.03418803418803419,
446
+ "grad_norm": 0.1035264599440814,
447
+ "kl": 0.056243896484375,
448
+ "learning_rate": 2e-05,
449
+ "loss": 0.0203,
450
+ "num_tokens": 5477111.0,
451
+ "reward": 12.287153244018555,
452
+ "reward_std": 6.766469955444336,
453
+ "rewards/constraint_satisfaction_reward_func": 1.0,
454
+ "rewards/successful_code_execution_reward_func": 0.7561259865760803,
455
+ "rewards/successful_no_deal_reward_func": 0.390625,
456
+ "rewards/successful_parsing_reward_func": 0.8038890957832336,
457
+ "rewards/utility_reward_func": 0.37468421459198,
458
+ "step": 16
459
+ },
460
+ {
461
+ "clip_ratio/high_max": 0.0,
462
+ "clip_ratio/high_mean": 0.0,
463
+ "clip_ratio/low_mean": 0.0,
464
+ "clip_ratio/low_min": 0.0,
465
+ "clip_ratio/region_mean": 0.0,
466
+ "completions/clipped_ratio": 0.0625,
467
+ "completions/max_length": 9185.0,
468
+ "completions/max_terminated_length": 9185.0,
469
+ "completions/mean_length": 4713.1875,
470
+ "completions/mean_terminated_length": 5027.4,
471
+ "completions/min_length": 0.0,
472
+ "completions/min_terminated_length": 2639.0,
473
+ "epoch": 0.03632478632478633,
474
+ "grad_norm": 0.0433494341400444,
475
+ "kl": 0.070892333984375,
476
+ "learning_rate": 2e-05,
477
+ "loss": -0.0119,
478
+ "num_tokens": 5795811.0,
479
+ "reward": 8.16100788116455,
480
+ "reward_std": 2.8902506828308105,
481
+ "rewards/constraint_satisfaction_reward_func": 1.0,
482
+ "rewards/successful_code_execution_reward_func": 0.9079613089561462,
483
+ "rewards/successful_no_deal_reward_func": 0.453125,
484
+ "rewards/successful_parsing_reward_func": 0.8510779142379761,
485
+ "rewards/utility_reward_func": 0.23439928889274597,
486
+ "step": 17
487
+ },
488
+ {
489
+ "clip_ratio/high_max": 0.0,
490
+ "clip_ratio/high_mean": 0.0,
491
+ "clip_ratio/low_mean": 0.0,
492
+ "clip_ratio/low_min": 0.0,
493
+ "clip_ratio/region_mean": 0.0,
494
+ "completions/clipped_ratio": 0.03125,
495
+ "completions/max_length": 9330.0,
496
+ "completions/max_terminated_length": 9330.0,
497
+ "completions/mean_length": 5696.59375,
498
+ "completions/mean_terminated_length": 5880.354838709677,
499
+ "completions/min_length": 0.0,
500
+ "completions/min_terminated_length": 2147.0,
501
+ "epoch": 0.038461538461538464,
502
+ "grad_norm": 0.07053711116404891,
503
+ "kl": 0.065277099609375,
504
+ "learning_rate": 2e-05,
505
+ "loss": 0.0277,
506
+ "num_tokens": 6150385.0,
507
+ "reward": 7.081500053405762,
508
+ "reward_std": 4.265430927276611,
509
+ "rewards/constraint_satisfaction_reward_func": 0.96875,
510
+ "rewards/successful_code_execution_reward_func": 0.7555555701255798,
511
+ "rewards/successful_no_deal_reward_func": 0.375,
512
+ "rewards/successful_parsing_reward_func": 0.862622857093811,
513
+ "rewards/utility_reward_func": 0.20201024413108826,
514
+ "step": 18
515
+ },
516
+ {
517
+ "clip_ratio/high_max": 0.0,
518
+ "clip_ratio/high_mean": 0.0,
519
+ "clip_ratio/low_mean": 0.0,
520
+ "clip_ratio/low_min": 0.0,
521
+ "clip_ratio/region_mean": 0.0,
522
+ "completions/clipped_ratio": 0.0,
523
+ "completions/max_length": 10173.0,
524
+ "completions/max_terminated_length": 10173.0,
525
+ "completions/mean_length": 6548.21875,
526
+ "completions/mean_terminated_length": 6548.21875,
527
+ "completions/min_length": 2994.0,
528
+ "completions/min_terminated_length": 2994.0,
529
+ "epoch": 0.0405982905982906,
530
+ "grad_norm": 0.09672399682608723,
531
+ "kl": 0.069854736328125,
532
+ "learning_rate": 2e-05,
533
+ "loss": 0.0237,
534
+ "num_tokens": 6513232.0,
535
+ "reward": 7.472269058227539,
536
+ "reward_std": 3.3596060276031494,
537
+ "rewards/constraint_satisfaction_reward_func": 1.0,
538
+ "rewards/successful_code_execution_reward_func": 0.8278397917747498,
539
+ "rewards/successful_no_deal_reward_func": 0.4375,
540
+ "rewards/successful_parsing_reward_func": 0.9014575481414795,
541
+ "rewards/utility_reward_func": 0.2120613008737564,
542
+ "step": 19
543
+ },
544
+ {
545
+ "clip_ratio/high_max": 0.0,
546
+ "clip_ratio/high_mean": 0.0,
547
+ "clip_ratio/low_mean": 0.0,
548
+ "clip_ratio/low_min": 0.0,
549
+ "clip_ratio/region_mean": 0.0,
550
+ "completions/clipped_ratio": 0.03125,
551
+ "completions/max_length": 10364.0,
552
+ "completions/max_terminated_length": 10364.0,
553
+ "completions/mean_length": 5375.28125,
554
+ "completions/mean_terminated_length": 5548.677419354839,
555
+ "completions/min_length": 0.0,
556
+ "completions/min_terminated_length": 2140.0,
557
+ "epoch": 0.042735042735042736,
558
+ "grad_norm": 0.04520712883700852,
559
+ "kl": 0.0749664306640625,
560
+ "learning_rate": 2e-05,
561
+ "loss": -0.0097,
562
+ "num_tokens": 6855140.0,
563
+ "reward": 9.597513198852539,
564
+ "reward_std": 3.5805306434631348,
565
+ "rewards/constraint_satisfaction_reward_func": 0.984375,
566
+ "rewards/successful_code_execution_reward_func": 0.8538690805435181,
567
+ "rewards/successful_no_deal_reward_func": 0.453125,
568
+ "rewards/successful_parsing_reward_func": 0.8160218596458435,
569
+ "rewards/utility_reward_func": 0.28284043073654175,
570
+ "step": 20
571
+ },
572
+ {
573
+ "clip_ratio/high_max": 0.0,
574
+ "clip_ratio/high_mean": 0.0,
575
+ "clip_ratio/low_mean": 0.0,
576
+ "clip_ratio/low_min": 0.0,
577
+ "clip_ratio/region_mean": 0.0,
578
+ "completions/clipped_ratio": 0.0625,
579
+ "completions/max_length": 9343.0,
580
+ "completions/max_terminated_length": 9343.0,
581
+ "completions/mean_length": 5354.9375,
582
+ "completions/mean_terminated_length": 5711.933333333333,
583
+ "completions/min_length": 0.0,
584
+ "completions/min_terminated_length": 2588.0,
585
+ "epoch": 0.04487179487179487,
586
+ "grad_norm": 0.13324734003119365,
587
+ "kl": 0.07419586181640625,
588
+ "learning_rate": 2e-05,
589
+ "loss": 0.0278,
590
+ "num_tokens": 7204532.0,
591
+ "reward": 8.765981674194336,
592
+ "reward_std": 5.346878528594971,
593
+ "rewards/constraint_satisfaction_reward_func": 0.984375,
594
+ "rewards/successful_code_execution_reward_func": 0.7741690874099731,
595
+ "rewards/successful_no_deal_reward_func": 0.515625,
596
+ "rewards/successful_parsing_reward_func": 0.8718490600585938,
597
+ "rewards/utility_reward_func": 0.25311893224716187,
598
+ "step": 21
599
+ },
600
+ {
601
+ "clip_ratio/high_max": 0.0,
602
+ "clip_ratio/high_mean": 0.0,
603
+ "clip_ratio/low_mean": 0.0,
604
+ "clip_ratio/low_min": 0.0,
605
+ "clip_ratio/region_mean": 0.0,
606
+ "completions/clipped_ratio": 0.0,
607
+ "completions/max_length": 8788.0,
608
+ "completions/max_terminated_length": 8788.0,
609
+ "completions/mean_length": 5734.65625,
610
+ "completions/mean_terminated_length": 5734.65625,
611
+ "completions/min_length": 3138.0,
612
+ "completions/min_terminated_length": 3138.0,
613
+ "epoch": 0.04700854700854701,
614
+ "grad_norm": 0.04722558093607279,
615
+ "kl": 0.0833892822265625,
616
+ "learning_rate": 2e-05,
617
+ "loss": 0.0062,
618
+ "num_tokens": 7540679.0,
619
+ "reward": 10.483989715576172,
620
+ "reward_std": 2.554959297180176,
621
+ "rewards/constraint_satisfaction_reward_func": 0.984375,
622
+ "rewards/successful_code_execution_reward_func": 0.8787944912910461,
623
+ "rewards/successful_no_deal_reward_func": 0.546875,
624
+ "rewards/successful_parsing_reward_func": 0.898411750793457,
625
+ "rewards/utility_reward_func": 0.3089068531990051,
626
+ "step": 22
627
+ },
628
+ {
629
+ "clip_ratio/high_max": 0.0,
630
+ "clip_ratio/high_mean": 0.0,
631
+ "clip_ratio/low_mean": 0.0,
632
+ "clip_ratio/low_min": 0.0,
633
+ "clip_ratio/region_mean": 0.0,
634
+ "completions/clipped_ratio": 0.0,
635
+ "completions/max_length": 8693.0,
636
+ "completions/max_terminated_length": 8693.0,
637
+ "completions/mean_length": 5031.03125,
638
+ "completions/mean_terminated_length": 5031.03125,
639
+ "completions/min_length": 2639.0,
640
+ "completions/min_terminated_length": 2639.0,
641
+ "epoch": 0.049145299145299144,
642
+ "grad_norm": 0.07640969114726487,
643
+ "kl": 0.08179473876953125,
644
+ "learning_rate": 2e-05,
645
+ "loss": 0.0515,
646
+ "num_tokens": 7855954.0,
647
+ "reward": 10.10434341430664,
648
+ "reward_std": 2.6132378578186035,
649
+ "rewards/constraint_satisfaction_reward_func": 1.0,
650
+ "rewards/successful_code_execution_reward_func": 0.8531621694564819,
651
+ "rewards/successful_no_deal_reward_func": 0.609375,
652
+ "rewards/successful_parsing_reward_func": 0.864062488079071,
653
+ "rewards/utility_reward_func": 0.29410821199417114,
654
+ "step": 23
655
+ },
656
+ {
657
+ "clip_ratio/high_max": 0.0,
658
+ "clip_ratio/high_mean": 0.0,
659
+ "clip_ratio/low_mean": 0.0,
660
+ "clip_ratio/low_min": 0.0,
661
+ "clip_ratio/region_mean": 0.0,
662
+ "completions/clipped_ratio": 0.0,
663
+ "completions/max_length": 9740.0,
664
+ "completions/max_terminated_length": 9740.0,
665
+ "completions/mean_length": 6291.0625,
666
+ "completions/mean_terminated_length": 6291.0625,
667
+ "completions/min_length": 2627.0,
668
+ "completions/min_terminated_length": 2627.0,
669
+ "epoch": 0.05128205128205128,
670
+ "grad_norm": 0.0976001686813385,
671
+ "kl": 0.0815277099609375,
672
+ "learning_rate": 2e-05,
673
+ "loss": -0.0036,
674
+ "num_tokens": 8217282.0,
675
+ "reward": 10.006271362304688,
676
+ "reward_std": 4.209831237792969,
677
+ "rewards/constraint_satisfaction_reward_func": 1.0,
678
+ "rewards/successful_code_execution_reward_func": 0.779737114906311,
679
+ "rewards/successful_no_deal_reward_func": 0.578125,
680
+ "rewards/successful_parsing_reward_func": 0.8936668634414673,
681
+ "rewards/utility_reward_func": 0.2920268774032593,
682
+ "step": 24
683
+ },
684
+ {
685
+ "clip_ratio/high_max": 0.0,
686
+ "clip_ratio/high_mean": 0.0,
687
+ "clip_ratio/low_mean": 0.0,
688
+ "clip_ratio/low_min": 0.0,
689
+ "clip_ratio/region_mean": 0.0,
690
+ "completions/clipped_ratio": 0.0,
691
+ "completions/max_length": 8830.0,
692
+ "completions/max_terminated_length": 8830.0,
693
+ "completions/mean_length": 6104.3125,
694
+ "completions/mean_terminated_length": 6104.3125,
695
+ "completions/min_length": 3625.0,
696
+ "completions/min_terminated_length": 3625.0,
697
+ "epoch": 0.053418803418803416,
698
+ "grad_norm": 0.0874243589318564,
699
+ "kl": 0.082855224609375,
700
+ "learning_rate": 2e-05,
701
+ "loss": 0.0239,
702
+ "num_tokens": 8576582.0,
703
+ "reward": 3.0176899433135986,
704
+ "reward_std": 1.4519190788269043,
705
+ "rewards/constraint_satisfaction_reward_func": 1.0,
706
+ "rewards/successful_code_execution_reward_func": 0.7582464814186096,
707
+ "rewards/successful_no_deal_reward_func": 0.625,
708
+ "rewards/successful_parsing_reward_func": 0.893723726272583,
709
+ "rewards/utility_reward_func": 0.05758309364318848,
710
+ "step": 25
711
+ },
712
+ {
713
+ "clip_ratio/high_max": 0.0,
714
+ "clip_ratio/high_mean": 0.0,
715
+ "clip_ratio/low_mean": 0.0,
716
+ "clip_ratio/low_min": 0.0,
717
+ "clip_ratio/region_mean": 0.0,
718
+ "completions/clipped_ratio": 0.09375,
719
+ "completions/max_length": 8970.0,
720
+ "completions/max_terminated_length": 8970.0,
721
+ "completions/mean_length": 5440.53125,
722
+ "completions/mean_terminated_length": 6003.3448275862065,
723
+ "completions/min_length": 0.0,
724
+ "completions/min_terminated_length": 3231.0,
725
+ "epoch": 0.05555555555555555,
726
+ "grad_norm": 0.19827483452745304,
727
+ "kl": 0.111328125,
728
+ "learning_rate": 2e-05,
729
+ "loss": -0.0174,
730
+ "num_tokens": 8944229.0,
731
+ "reward": 2.325728178024292,
732
+ "reward_std": 1.4577386379241943,
733
+ "rewards/constraint_satisfaction_reward_func": 1.0,
734
+ "rewards/successful_code_execution_reward_func": 0.791290819644928,
735
+ "rewards/successful_no_deal_reward_func": 0.59375,
736
+ "rewards/successful_parsing_reward_func": 0.888812243938446,
737
+ "rewards/utility_reward_func": 0.03546559810638428,
738
+ "step": 26
739
+ },
740
+ {
741
+ "clip_ratio/high_max": 0.0,
742
+ "clip_ratio/high_mean": 0.0,
743
+ "clip_ratio/low_mean": 0.0,
744
+ "clip_ratio/low_min": 0.0,
745
+ "clip_ratio/region_mean": 0.0,
746
+ "completions/clipped_ratio": 0.0,
747
+ "completions/max_length": 10391.0,
748
+ "completions/max_terminated_length": 10391.0,
749
+ "completions/mean_length": 5703.25,
750
+ "completions/mean_terminated_length": 5703.25,
751
+ "completions/min_length": 2291.0,
752
+ "completions/min_terminated_length": 2291.0,
753
+ "epoch": 0.057692307692307696,
754
+ "grad_norm": 0.07807090906536783,
755
+ "kl": 0.07916259765625,
756
+ "learning_rate": 2e-05,
757
+ "loss": -0.0036,
758
+ "num_tokens": 9298581.0,
759
+ "reward": 2.7880592346191406,
760
+ "reward_std": 1.5752832889556885,
761
+ "rewards/constraint_satisfaction_reward_func": 1.0,
762
+ "rewards/successful_code_execution_reward_func": 0.8456540703773499,
763
+ "rewards/successful_no_deal_reward_func": 0.65625,
764
+ "rewards/successful_parsing_reward_func": 0.8798115253448486,
765
+ "rewards/utility_reward_func": 0.04864208400249481,
766
+ "step": 27
767
+ },
768
+ {
769
+ "clip_ratio/high_max": 0.0,
770
+ "clip_ratio/high_mean": 0.0,
771
+ "clip_ratio/low_mean": 0.0,
772
+ "clip_ratio/low_min": 0.0,
773
+ "clip_ratio/region_mean": 0.0,
774
+ "completions/clipped_ratio": 0.03125,
775
+ "completions/max_length": 9834.0,
776
+ "completions/max_terminated_length": 9834.0,
777
+ "completions/mean_length": 5653.6875,
778
+ "completions/mean_terminated_length": 5836.064516129032,
779
+ "completions/min_length": 0.0,
780
+ "completions/min_terminated_length": 2561.0,
781
+ "epoch": 0.05982905982905983,
782
+ "grad_norm": 0.04981913139295697,
783
+ "kl": 0.0860748291015625,
784
+ "learning_rate": 2e-05,
785
+ "loss": -0.0036,
786
+ "num_tokens": 9645929.0,
787
+ "reward": 2.931215763092041,
788
+ "reward_std": 2.0780129432678223,
789
+ "rewards/constraint_satisfaction_reward_func": 1.0,
790
+ "rewards/successful_code_execution_reward_func": 0.9096354246139526,
791
+ "rewards/successful_no_deal_reward_func": 0.65625,
792
+ "rewards/successful_parsing_reward_func": 0.9329229593276978,
793
+ "rewards/utility_reward_func": 0.05302366986870766,
794
+ "step": 28
795
+ },
796
+ {
797
+ "clip_ratio/high_max": 0.0,
798
+ "clip_ratio/high_mean": 0.0,
799
+ "clip_ratio/low_mean": 0.0,
800
+ "clip_ratio/low_min": 0.0,
801
+ "clip_ratio/region_mean": 0.0,
802
+ "completions/clipped_ratio": 0.0,
803
+ "completions/max_length": 10930.0,
804
+ "completions/max_terminated_length": 10930.0,
805
+ "completions/mean_length": 5840.9375,
806
+ "completions/mean_terminated_length": 5840.9375,
807
+ "completions/min_length": 2371.0,
808
+ "completions/min_terminated_length": 2371.0,
809
+ "epoch": 0.06196581196581197,
810
+ "grad_norm": 0.43603578566490725,
811
+ "kl": 0.163726806640625,
812
+ "learning_rate": 2e-05,
813
+ "loss": 0.0195,
814
+ "num_tokens": 10014133.0,
815
+ "reward": 11.773115158081055,
816
+ "reward_std": 6.266353607177734,
817
+ "rewards/constraint_satisfaction_reward_func": 1.0,
818
+ "rewards/successful_code_execution_reward_func": 0.724196195602417,
819
+ "rewards/successful_no_deal_reward_func": 0.359375,
820
+ "rewards/successful_parsing_reward_func": 0.7893494367599487,
821
+ "rewards/utility_reward_func": 0.35874617099761963,
822
+ "step": 29
823
+ },
824
+ {
825
+ "clip_ratio/high_max": 0.0,
826
+ "clip_ratio/high_mean": 0.0,
827
+ "clip_ratio/low_mean": 0.0,
828
+ "clip_ratio/low_min": 0.0,
829
+ "clip_ratio/region_mean": 0.0,
830
+ "completions/clipped_ratio": 0.0,
831
+ "completions/max_length": 9489.0,
832
+ "completions/max_terminated_length": 9489.0,
833
+ "completions/mean_length": 5918.46875,
834
+ "completions/mean_terminated_length": 5918.46875,
835
+ "completions/min_length": 2629.0,
836
+ "completions/min_terminated_length": 2629.0,
837
+ "epoch": 0.0641025641025641,
838
+ "grad_norm": 1.5094761839926756,
839
+ "kl": 0.1993255615234375,
840
+ "learning_rate": 2e-05,
841
+ "loss": -0.0006,
842
+ "num_tokens": 10389894.0,
843
+ "reward": 10.936625480651855,
844
+ "reward_std": 4.752138137817383,
845
+ "rewards/constraint_satisfaction_reward_func": 1.0,
846
+ "rewards/successful_code_execution_reward_func": 0.7032060623168945,
847
+ "rewards/successful_no_deal_reward_func": 0.359375,
848
+ "rewards/successful_parsing_reward_func": 0.7675862312316895,
849
+ "rewards/utility_reward_func": 0.331005722284317,
850
+ "step": 30
851
+ },
852
+ {
853
+ "clip_ratio/high_max": 0.0,
854
+ "clip_ratio/high_mean": 0.0,
855
+ "clip_ratio/low_mean": 0.0,
856
+ "clip_ratio/low_min": 0.0,
857
+ "clip_ratio/region_mean": 0.0,
858
+ "completions/clipped_ratio": 0.03125,
859
+ "completions/max_length": 11193.0,
860
+ "completions/max_terminated_length": 11193.0,
861
+ "completions/mean_length": 5057.46875,
862
+ "completions/mean_terminated_length": 5220.612903225807,
863
+ "completions/min_length": 0.0,
864
+ "completions/min_terminated_length": 1654.0,
865
+ "epoch": 0.06623931623931624,
866
+ "grad_norm": 0.045208953033285613,
867
+ "kl": 0.082183837890625,
868
+ "learning_rate": 2e-05,
869
+ "loss": -0.0222,
870
+ "num_tokens": 10722626.0,
871
+ "reward": 12.012799263000488,
872
+ "reward_std": 5.420868873596191,
873
+ "rewards/constraint_satisfaction_reward_func": 1.0,
874
+ "rewards/successful_code_execution_reward_func": 0.9069940447807312,
875
+ "rewards/successful_no_deal_reward_func": 0.4375,
876
+ "rewards/successful_parsing_reward_func": 0.7996008992195129,
877
+ "rewards/utility_reward_func": 0.36348801851272583,
878
+ "step": 31
879
+ },
880
+ {
881
+ "clip_ratio/high_max": 0.0,
882
+ "clip_ratio/high_mean": 0.0,
883
+ "clip_ratio/low_mean": 0.0,
884
+ "clip_ratio/low_min": 0.0,
885
+ "clip_ratio/region_mean": 0.0,
886
+ "completions/clipped_ratio": 0.03125,
887
+ "completions/max_length": 10599.0,
888
+ "completions/max_terminated_length": 10599.0,
889
+ "completions/mean_length": 5630.34375,
890
+ "completions/mean_terminated_length": 5811.967741935484,
891
+ "completions/min_length": 0.0,
892
+ "completions/min_terminated_length": 2850.0,
893
+ "epoch": 0.06837606837606838,
894
+ "grad_norm": 0.045623682683562025,
895
+ "kl": 0.0789337158203125,
896
+ "learning_rate": 2e-05,
897
+ "loss": -0.0068,
898
+ "num_tokens": 11085010.0,
899
+ "reward": 10.26258659362793,
900
+ "reward_std": 7.012184143066406,
901
+ "rewards/constraint_satisfaction_reward_func": 1.0,
902
+ "rewards/successful_code_execution_reward_func": 0.8258308172225952,
903
+ "rewards/successful_no_deal_reward_func": 0.375,
904
+ "rewards/successful_parsing_reward_func": 0.8364831209182739,
905
+ "rewards/utility_reward_func": 0.30737853050231934,
906
+ "step": 32
907
+ },
908
+ {
909
+ "clip_ratio/high_max": 0.0,
910
+ "clip_ratio/high_mean": 0.0,
911
+ "clip_ratio/low_mean": 0.0,
912
+ "clip_ratio/low_min": 0.0,
913
+ "clip_ratio/region_mean": 0.0,
914
+ "completions/clipped_ratio": 0.03125,
915
+ "completions/max_length": 8891.0,
916
+ "completions/max_terminated_length": 8891.0,
917
+ "completions/mean_length": 4892.84375,
918
+ "completions/mean_terminated_length": 5050.677419354839,
919
+ "completions/min_length": 0.0,
920
+ "completions/min_terminated_length": 2852.0,
921
+ "epoch": 0.07051282051282051,
922
+ "grad_norm": 0.05892387943921885,
923
+ "kl": 0.0875091552734375,
924
+ "learning_rate": 2e-05,
925
+ "loss": 0.0001,
926
+ "num_tokens": 11423845.0,
927
+ "reward": 9.62917423248291,
928
+ "reward_std": 4.717038631439209,
929
+ "rewards/constraint_satisfaction_reward_func": 0.984375,
930
+ "rewards/successful_code_execution_reward_func": 0.8024696111679077,
931
+ "rewards/successful_no_deal_reward_func": 0.4375,
932
+ "rewards/successful_parsing_reward_func": 0.809061586856842,
933
+ "rewards/utility_reward_func": 0.2846111059188843,
934
+ "step": 33
935
+ },
936
+ {
937
+ "clip_ratio/high_max": 0.0,
938
+ "clip_ratio/high_mean": 0.0,
939
+ "clip_ratio/low_mean": 0.0,
940
+ "clip_ratio/low_min": 0.0,
941
+ "clip_ratio/region_mean": 0.0,
942
+ "completions/clipped_ratio": 0.0,
943
+ "completions/max_length": 9959.0,
944
+ "completions/max_terminated_length": 9959.0,
945
+ "completions/mean_length": 5024.46875,
946
+ "completions/mean_terminated_length": 5024.46875,
947
+ "completions/min_length": 2542.0,
948
+ "completions/min_terminated_length": 2542.0,
949
+ "epoch": 0.07264957264957266,
950
+ "grad_norm": 0.04089145594446082,
951
+ "kl": 0.084930419921875,
952
+ "learning_rate": 2e-05,
953
+ "loss": -0.0046,
954
+ "num_tokens": 11749425.0,
955
+ "reward": 9.058746337890625,
956
+ "reward_std": 3.817065715789795,
957
+ "rewards/constraint_satisfaction_reward_func": 0.984375,
958
+ "rewards/successful_code_execution_reward_func": 0.8897197246551514,
959
+ "rewards/successful_no_deal_reward_func": 0.46875,
960
+ "rewards/successful_parsing_reward_func": 0.8192257285118103,
961
+ "rewards/utility_reward_func": 0.26423048973083496,
962
+ "step": 34
963
+ },
964
+ {
965
+ "clip_ratio/high_max": 0.0,
966
+ "clip_ratio/high_mean": 0.0,
967
+ "clip_ratio/low_mean": 0.0,
968
+ "clip_ratio/low_min": 0.0,
969
+ "clip_ratio/region_mean": 0.0,
970
+ "completions/clipped_ratio": 0.0,
971
+ "completions/max_length": 9616.0,
972
+ "completions/max_terminated_length": 9616.0,
973
+ "completions/mean_length": 5304.84375,
974
+ "completions/mean_terminated_length": 5304.84375,
975
+ "completions/min_length": 2674.0,
976
+ "completions/min_terminated_length": 2674.0,
977
+ "epoch": 0.07478632478632478,
978
+ "grad_norm": 0.31033660874854463,
979
+ "kl": 0.0949249267578125,
980
+ "learning_rate": 2e-05,
981
+ "loss": -0.006,
982
+ "num_tokens": 12101010.0,
983
+ "reward": 9.125823974609375,
984
+ "reward_std": 3.129967212677002,
985
+ "rewards/constraint_satisfaction_reward_func": 1.0,
986
+ "rewards/successful_code_execution_reward_func": 0.8177951574325562,
987
+ "rewards/successful_no_deal_reward_func": 0.40625,
988
+ "rewards/successful_parsing_reward_func": 0.7546502351760864,
989
+ "rewards/utility_reward_func": 0.2687443196773529,
990
+ "step": 35
991
+ },
992
+ {
993
+ "clip_ratio/high_max": 0.0,
994
+ "clip_ratio/high_mean": 0.0,
995
+ "clip_ratio/low_mean": 0.0,
996
+ "clip_ratio/low_min": 0.0,
997
+ "clip_ratio/region_mean": 0.0,
998
+ "completions/clipped_ratio": 0.0625,
999
+ "completions/max_length": 9969.0,
1000
+ "completions/max_terminated_length": 9969.0,
1001
+ "completions/mean_length": 5238.09375,
1002
+ "completions/mean_terminated_length": 5587.3,
1003
+ "completions/min_length": 0.0,
1004
+ "completions/min_terminated_length": 3429.0,
1005
+ "epoch": 0.07692307692307693,
1006
+ "grad_norm": 0.03256188449171459,
1007
+ "kl": 0.0983734130859375,
1008
+ "learning_rate": 2e-05,
1009
+ "loss": 0.0206,
1010
+ "num_tokens": 12461361.0,
1011
+ "reward": 8.622406959533691,
1012
+ "reward_std": 3.5288777351379395,
1013
+ "rewards/constraint_satisfaction_reward_func": 0.953125,
1014
+ "rewards/successful_code_execution_reward_func": 0.9133804440498352,
1015
+ "rewards/successful_no_deal_reward_func": 0.421875,
1016
+ "rewards/successful_parsing_reward_func": 0.8293843865394592,
1017
+ "rewards/utility_reward_func": 0.2516564726829529,
1018
+ "step": 36
1019
+ },
1020
+ {
1021
+ "clip_ratio/high_max": 0.0,
1022
+ "clip_ratio/high_mean": 0.0,
1023
+ "clip_ratio/low_mean": 0.0,
1024
+ "clip_ratio/low_min": 0.0,
1025
+ "clip_ratio/region_mean": 0.0,
1026
+ "completions/clipped_ratio": 0.0625,
1027
+ "completions/max_length": 9716.0,
1028
+ "completions/max_terminated_length": 9716.0,
1029
+ "completions/mean_length": 5179.75,
1030
+ "completions/mean_terminated_length": 5525.066666666667,
1031
+ "completions/min_length": 0.0,
1032
+ "completions/min_terminated_length": 3120.0,
1033
+ "epoch": 0.07905982905982906,
1034
+ "grad_norm": 0.04889712846302911,
1035
+ "kl": 0.073455810546875,
1036
+ "learning_rate": 2e-05,
1037
+ "loss": 0.0066,
1038
+ "num_tokens": 12817439.0,
1039
+ "reward": 8.959070205688477,
1040
+ "reward_std": 6.533388614654541,
1041
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1042
+ "rewards/successful_code_execution_reward_func": 0.8700520992279053,
1043
+ "rewards/successful_no_deal_reward_func": 0.40625,
1044
+ "rewards/successful_parsing_reward_func": 0.8051215410232544,
1045
+ "rewards/utility_reward_func": 0.26284343004226685,
1046
+ "step": 37
1047
+ },
1048
+ {
1049
+ "clip_ratio/high_max": 0.0,
1050
+ "clip_ratio/high_mean": 0.0,
1051
+ "clip_ratio/low_mean": 0.0,
1052
+ "clip_ratio/low_min": 0.0,
1053
+ "clip_ratio/region_mean": 0.0,
1054
+ "completions/clipped_ratio": 0.09375,
1055
+ "completions/max_length": 9623.0,
1056
+ "completions/max_terminated_length": 9623.0,
1057
+ "completions/mean_length": 5002.8125,
1058
+ "completions/mean_terminated_length": 5520.3448275862065,
1059
+ "completions/min_length": 0.0,
1060
+ "completions/min_terminated_length": 1646.0,
1061
+ "epoch": 0.0811965811965812,
1062
+ "grad_norm": 0.04748836707714437,
1063
+ "kl": 0.07926177978515625,
1064
+ "learning_rate": 2e-05,
1065
+ "loss": 0.0052,
1066
+ "num_tokens": 13177566.0,
1067
+ "reward": 9.607915878295898,
1068
+ "reward_std": 6.371920585632324,
1069
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1070
+ "rewards/successful_code_execution_reward_func": 0.7991071343421936,
1071
+ "rewards/successful_no_deal_reward_func": 0.34375,
1072
+ "rewards/successful_parsing_reward_func": 0.8020461201667786,
1073
+ "rewards/utility_reward_func": 0.28680169582366943,
1074
+ "step": 38
1075
+ },
1076
+ {
1077
+ "clip_ratio/high_max": 0.0,
1078
+ "clip_ratio/high_mean": 0.0,
1079
+ "clip_ratio/low_mean": 0.0,
1080
+ "clip_ratio/low_min": 0.0,
1081
+ "clip_ratio/region_mean": 0.0,
1082
+ "completions/clipped_ratio": 0.03125,
1083
+ "completions/max_length": 9332.0,
1084
+ "completions/max_terminated_length": 9332.0,
1085
+ "completions/mean_length": 5509.34375,
1086
+ "completions/mean_terminated_length": 5687.064516129032,
1087
+ "completions/min_length": 0.0,
1088
+ "completions/min_terminated_length": 3683.0,
1089
+ "epoch": 0.08333333333333333,
1090
+ "grad_norm": 0.08479434572785938,
1091
+ "kl": 0.08233642578125,
1092
+ "learning_rate": 2e-05,
1093
+ "loss": 0.0238,
1094
+ "num_tokens": 13541530.0,
1095
+ "reward": 8.508003234863281,
1096
+ "reward_std": 5.044344902038574,
1097
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1098
+ "rewards/successful_code_execution_reward_func": 0.7092013359069824,
1099
+ "rewards/successful_no_deal_reward_func": 0.34375,
1100
+ "rewards/successful_parsing_reward_func": 0.7772454619407654,
1101
+ "rewards/utility_reward_func": 0.2505202889442444,
1102
+ "step": 39
1103
+ },
1104
+ {
1105
+ "clip_ratio/high_max": 0.0,
1106
+ "clip_ratio/high_mean": 0.0,
1107
+ "clip_ratio/low_mean": 0.0,
1108
+ "clip_ratio/low_min": 0.0,
1109
+ "clip_ratio/region_mean": 0.0,
1110
+ "completions/clipped_ratio": 0.09375,
1111
+ "completions/max_length": 10125.0,
1112
+ "completions/max_terminated_length": 10125.0,
1113
+ "completions/mean_length": 5366.65625,
1114
+ "completions/mean_terminated_length": 5921.827586206897,
1115
+ "completions/min_length": 0.0,
1116
+ "completions/min_terminated_length": 2721.0,
1117
+ "epoch": 0.08547008547008547,
1118
+ "grad_norm": 0.046629736962909236,
1119
+ "kl": 0.074920654296875,
1120
+ "learning_rate": 2e-05,
1121
+ "loss": -0.0057,
1122
+ "num_tokens": 13930554.0,
1123
+ "reward": 9.409976959228516,
1124
+ "reward_std": 6.964659690856934,
1125
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1126
+ "rewards/successful_code_execution_reward_func": 0.8676711320877075,
1127
+ "rewards/successful_no_deal_reward_func": 0.34375,
1128
+ "rewards/successful_parsing_reward_func": 0.7561174035072327,
1129
+ "rewards/utility_reward_func": 0.28012827038764954,
1130
+ "step": 40
1131
+ },
1132
+ {
1133
+ "clip_ratio/high_max": 0.0,
1134
+ "clip_ratio/high_mean": 0.0,
1135
+ "clip_ratio/low_mean": 0.0,
1136
+ "clip_ratio/low_min": 0.0,
1137
+ "clip_ratio/region_mean": 0.0,
1138
+ "completions/clipped_ratio": 0.03125,
1139
+ "completions/max_length": 10197.0,
1140
+ "completions/max_terminated_length": 10197.0,
1141
+ "completions/mean_length": 5269.65625,
1142
+ "completions/mean_terminated_length": 5439.645161290323,
1143
+ "completions/min_length": 0.0,
1144
+ "completions/min_terminated_length": 2822.0,
1145
+ "epoch": 0.0876068376068376,
1146
+ "grad_norm": 0.07532493246421096,
1147
+ "kl": 0.0913238525390625,
1148
+ "learning_rate": 2e-05,
1149
+ "loss": 0.0518,
1150
+ "num_tokens": 14267395.0,
1151
+ "reward": 10.74399185180664,
1152
+ "reward_std": 7.217482566833496,
1153
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1154
+ "rewards/successful_code_execution_reward_func": 0.8700148463249207,
1155
+ "rewards/successful_no_deal_reward_func": 0.40625,
1156
+ "rewards/successful_parsing_reward_func": 0.872061014175415,
1157
+ "rewards/utility_reward_func": 0.32211780548095703,
1158
+ "step": 41
1159
+ },
1160
+ {
1161
+ "clip_ratio/high_max": 0.0,
1162
+ "clip_ratio/high_mean": 0.0,
1163
+ "clip_ratio/low_mean": 0.0,
1164
+ "clip_ratio/low_min": 0.0,
1165
+ "clip_ratio/region_mean": 0.0,
1166
+ "completions/clipped_ratio": 0.0625,
1167
+ "completions/max_length": 9754.0,
1168
+ "completions/max_terminated_length": 9754.0,
1169
+ "completions/mean_length": 5356.21875,
1170
+ "completions/mean_terminated_length": 5713.3,
1171
+ "completions/min_length": 0.0,
1172
+ "completions/min_terminated_length": 2306.0,
1173
+ "epoch": 0.08974358974358974,
1174
+ "grad_norm": 0.041994088388066786,
1175
+ "kl": 0.08880615234375,
1176
+ "learning_rate": 2e-05,
1177
+ "loss": -0.0166,
1178
+ "num_tokens": 14631225.0,
1179
+ "reward": 13.259390830993652,
1180
+ "reward_std": 4.738910675048828,
1181
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1182
+ "rewards/successful_code_execution_reward_func": 0.8736110925674438,
1183
+ "rewards/successful_no_deal_reward_func": 0.421875,
1184
+ "rewards/successful_parsing_reward_func": 0.789508581161499,
1185
+ "rewards/utility_reward_func": 0.40570682287216187,
1186
+ "step": 42
1187
+ },
1188
+ {
1189
+ "clip_ratio/high_max": 0.0,
1190
+ "clip_ratio/high_mean": 0.0,
1191
+ "clip_ratio/low_mean": 0.0,
1192
+ "clip_ratio/low_min": 0.0,
1193
+ "clip_ratio/region_mean": 0.0,
1194
+ "completions/clipped_ratio": 0.0625,
1195
+ "completions/max_length": 8233.0,
1196
+ "completions/max_terminated_length": 8233.0,
1197
+ "completions/mean_length": 4819.65625,
1198
+ "completions/mean_terminated_length": 5140.966666666666,
1199
+ "completions/min_length": 0.0,
1200
+ "completions/min_terminated_length": 1512.0,
1201
+ "epoch": 0.09188034188034189,
1202
+ "grad_norm": 0.03565747695965463,
1203
+ "kl": 0.084442138671875,
1204
+ "learning_rate": 2e-05,
1205
+ "loss": -0.015,
1206
+ "num_tokens": 14967668.0,
1207
+ "reward": 11.417985916137695,
1208
+ "reward_std": 5.845874786376953,
1209
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1210
+ "rewards/successful_code_execution_reward_func": 0.8795138597488403,
1211
+ "rewards/successful_no_deal_reward_func": 0.40625,
1212
+ "rewards/successful_parsing_reward_func": 0.7768093347549438,
1213
+ "rewards/utility_reward_func": 0.34487012028694153,
1214
+ "step": 43
1215
+ },
1216
+ {
1217
+ "clip_ratio/high_max": 0.0,
1218
+ "clip_ratio/high_mean": 0.0,
1219
+ "clip_ratio/low_mean": 0.0,
1220
+ "clip_ratio/low_min": 0.0,
1221
+ "clip_ratio/region_mean": 0.0,
1222
+ "completions/clipped_ratio": 0.0,
1223
+ "completions/max_length": 9785.0,
1224
+ "completions/max_terminated_length": 9785.0,
1225
+ "completions/mean_length": 6039.5,
1226
+ "completions/mean_terminated_length": 6039.5,
1227
+ "completions/min_length": 2790.0,
1228
+ "completions/min_terminated_length": 2790.0,
1229
+ "epoch": 0.09401709401709402,
1230
+ "grad_norm": 0.04878414442627355,
1231
+ "kl": 0.0800628662109375,
1232
+ "learning_rate": 2e-05,
1233
+ "loss": 0.0123,
1234
+ "num_tokens": 15322843.0,
1235
+ "reward": 10.717945098876953,
1236
+ "reward_std": 6.875738143920898,
1237
+ "rewards/constraint_satisfaction_reward_func": 0.96875,
1238
+ "rewards/successful_code_execution_reward_func": 0.8796254992485046,
1239
+ "rewards/successful_no_deal_reward_func": 0.390625,
1240
+ "rewards/successful_parsing_reward_func": 0.8528273701667786,
1241
+ "rewards/utility_reward_func": 0.3223233222961426,
1242
+ "step": 44
1243
+ },
1244
+ {
1245
+ "clip_ratio/high_max": 0.0,
1246
+ "clip_ratio/high_mean": 0.0,
1247
+ "clip_ratio/low_mean": 0.0,
1248
+ "clip_ratio/low_min": 0.0,
1249
+ "clip_ratio/region_mean": 0.0,
1250
+ "completions/clipped_ratio": 0.09375,
1251
+ "completions/max_length": 10441.0,
1252
+ "completions/max_terminated_length": 10441.0,
1253
+ "completions/mean_length": 5009.0,
1254
+ "completions/mean_terminated_length": 5527.172413793103,
1255
+ "completions/min_length": 0.0,
1256
+ "completions/min_terminated_length": 2133.0,
1257
+ "epoch": 0.09615384615384616,
1258
+ "grad_norm": 0.043346101484315204,
1259
+ "kl": 0.090057373046875,
1260
+ "learning_rate": 2e-05,
1261
+ "loss": -0.0255,
1262
+ "num_tokens": 15675494.0,
1263
+ "reward": 6.5747551918029785,
1264
+ "reward_std": 4.603181838989258,
1265
+ "rewards/constraint_satisfaction_reward_func": 0.984375,
1266
+ "rewards/successful_code_execution_reward_func": 0.8890997171401978,
1267
+ "rewards/successful_no_deal_reward_func": 0.5625,
1268
+ "rewards/successful_parsing_reward_func": 0.8411458730697632,
1269
+ "rewards/utility_reward_func": 0.1782347708940506,
1270
+ "step": 45
1271
+ },
1272
+ {
1273
+ "clip_ratio/high_max": 0.0,
1274
+ "clip_ratio/high_mean": 0.0,
1275
+ "clip_ratio/low_mean": 0.0,
1276
+ "clip_ratio/low_min": 0.0,
1277
+ "clip_ratio/region_mean": 0.0,
1278
+ "completions/clipped_ratio": 0.0,
1279
+ "completions/max_length": 10244.0,
1280
+ "completions/max_terminated_length": 10244.0,
1281
+ "completions/mean_length": 5903.40625,
1282
+ "completions/mean_terminated_length": 5903.40625,
1283
+ "completions/min_length": 2392.0,
1284
+ "completions/min_terminated_length": 2392.0,
1285
+ "epoch": 0.09829059829059829,
1286
+ "grad_norm": 0.05335262654380793,
1287
+ "kl": 0.0872802734375,
1288
+ "learning_rate": 2e-05,
1289
+ "loss": 0.0124,
1290
+ "num_tokens": 16026738.0,
1291
+ "reward": 7.486398220062256,
1292
+ "reward_std": 4.8832197189331055,
1293
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1294
+ "rewards/successful_code_execution_reward_func": 0.8818700313568115,
1295
+ "rewards/successful_no_deal_reward_func": 0.5625,
1296
+ "rewards/successful_parsing_reward_func": 0.836823582649231,
1297
+ "rewards/utility_reward_func": 0.20840096473693848,
1298
+ "step": 46
1299
+ },
1300
+ {
1301
+ "clip_ratio/high_max": 0.0,
1302
+ "clip_ratio/high_mean": 0.0,
1303
+ "clip_ratio/low_mean": 0.0,
1304
+ "clip_ratio/low_min": 0.0,
1305
+ "clip_ratio/region_mean": 0.0,
1306
+ "completions/clipped_ratio": 0.0,
1307
+ "completions/max_length": 10041.0,
1308
+ "completions/max_terminated_length": 10041.0,
1309
+ "completions/mean_length": 6264.78125,
1310
+ "completions/mean_terminated_length": 6264.78125,
1311
+ "completions/min_length": 2898.0,
1312
+ "completions/min_terminated_length": 2898.0,
1313
+ "epoch": 0.10042735042735043,
1314
+ "grad_norm": 0.06631556073214734,
1315
+ "kl": 0.08795166015625,
1316
+ "learning_rate": 2e-05,
1317
+ "loss": -0.0024,
1318
+ "num_tokens": 16382497.0,
1319
+ "reward": 7.394876480102539,
1320
+ "reward_std": 5.015570640563965,
1321
+ "rewards/constraint_satisfaction_reward_func": 0.984375,
1322
+ "rewards/successful_code_execution_reward_func": 0.7953249216079712,
1323
+ "rewards/successful_no_deal_reward_func": 0.5625,
1324
+ "rewards/successful_parsing_reward_func": 0.8512028455734253,
1325
+ "rewards/utility_reward_func": 0.20585119724273682,
1326
+ "step": 47
1327
+ },
1328
+ {
1329
+ "clip_ratio/high_max": 0.0,
1330
+ "clip_ratio/high_mean": 0.0,
1331
+ "clip_ratio/low_mean": 0.0,
1332
+ "clip_ratio/low_min": 0.0,
1333
+ "clip_ratio/region_mean": 0.0,
1334
+ "completions/clipped_ratio": 0.03125,
1335
+ "completions/max_length": 10786.0,
1336
+ "completions/max_terminated_length": 10786.0,
1337
+ "completions/mean_length": 5614.28125,
1338
+ "completions/mean_terminated_length": 5795.387096774193,
1339
+ "completions/min_length": 0.0,
1340
+ "completions/min_terminated_length": 2599.0,
1341
+ "epoch": 0.10256410256410256,
1342
+ "grad_norm": 0.02442773109163022,
1343
+ "kl": 0.1008758544921875,
1344
+ "learning_rate": 2e-05,
1345
+ "loss": -0.0175,
1346
+ "num_tokens": 16727867.0,
1347
+ "reward": 9.46392822265625,
1348
+ "reward_std": 5.264253616333008,
1349
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1350
+ "rewards/successful_code_execution_reward_func": 0.9590773582458496,
1351
+ "rewards/successful_no_deal_reward_func": 0.5625,
1352
+ "rewards/successful_parsing_reward_func": 0.8479910492897034,
1353
+ "rewards/utility_reward_func": 0.2740240693092346,
1354
+ "step": 48
1355
+ },
1356
+ {
1357
+ "clip_ratio/high_max": 0.0,
1358
+ "clip_ratio/high_mean": 0.0,
1359
+ "clip_ratio/low_mean": 0.0,
1360
+ "clip_ratio/low_min": 0.0,
1361
+ "clip_ratio/region_mean": 0.0,
1362
+ "completions/clipped_ratio": 0.03125,
1363
+ "completions/max_length": 10011.0,
1364
+ "completions/max_terminated_length": 10011.0,
1365
+ "completions/mean_length": 6587.53125,
1366
+ "completions/mean_terminated_length": 6800.032258064516,
1367
+ "completions/min_length": 0.0,
1368
+ "completions/min_terminated_length": 4411.0,
1369
+ "epoch": 0.1047008547008547,
1370
+ "grad_norm": 0.04667915631702583,
1371
+ "kl": 0.084930419921875,
1372
+ "learning_rate": 2e-05,
1373
+ "loss": -0.0377,
1374
+ "num_tokens": 17136101.0,
1375
+ "reward": 2.485010862350464,
1376
+ "reward_std": 0.9829912781715393,
1377
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1378
+ "rewards/successful_code_execution_reward_func": 0.9278645515441895,
1379
+ "rewards/successful_no_deal_reward_func": 0.640625,
1380
+ "rewards/successful_parsing_reward_func": 0.7758680582046509,
1381
+ "rewards/utility_reward_func": 0.03913374990224838,
1382
+ "step": 49
1383
+ },
1384
+ {
1385
+ "clip_ratio/high_max": 0.0,
1386
+ "clip_ratio/high_mean": 0.0,
1387
+ "clip_ratio/low_mean": 0.0,
1388
+ "clip_ratio/low_min": 0.0,
1389
+ "clip_ratio/region_mean": 0.0,
1390
+ "completions/clipped_ratio": 0.09375,
1391
+ "completions/max_length": 10045.0,
1392
+ "completions/max_terminated_length": 10045.0,
1393
+ "completions/mean_length": 6914.71875,
1394
+ "completions/mean_terminated_length": 7630.0344827586205,
1395
+ "completions/min_length": 0.0,
1396
+ "completions/min_terminated_length": 3860.0,
1397
+ "epoch": 0.10683760683760683,
1398
+ "grad_norm": 0.05353420751511945,
1399
+ "kl": 0.088897705078125,
1400
+ "learning_rate": 2e-05,
1401
+ "loss": -0.0106,
1402
+ "num_tokens": 17544134.0,
1403
+ "reward": 2.416043758392334,
1404
+ "reward_std": 1.4705603122711182,
1405
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1406
+ "rewards/successful_code_execution_reward_func": 0.8893229365348816,
1407
+ "rewards/successful_no_deal_reward_func": 0.625,
1408
+ "rewards/successful_parsing_reward_func": 0.8974916934967041,
1409
+ "rewards/utility_reward_func": 0.037078749388456345,
1410
+ "step": 50
1411
+ },
1412
+ {
1413
+ "clip_ratio/high_max": 0.0,
1414
+ "clip_ratio/high_mean": 0.0,
1415
+ "clip_ratio/low_mean": 0.0,
1416
+ "clip_ratio/low_min": 0.0,
1417
+ "clip_ratio/region_mean": 0.0,
1418
+ "completions/clipped_ratio": 0.0625,
1419
+ "completions/max_length": 10681.0,
1420
+ "completions/max_terminated_length": 10681.0,
1421
+ "completions/mean_length": 7199.34375,
1422
+ "completions/mean_terminated_length": 7679.3,
1423
+ "completions/min_length": 0.0,
1424
+ "completions/min_terminated_length": 3120.0,
1425
+ "epoch": 0.10897435897435898,
1426
+ "grad_norm": 0.03946040934713408,
1427
+ "kl": 0.0816192626953125,
1428
+ "learning_rate": 2e-05,
1429
+ "loss": -0.0015,
1430
+ "num_tokens": 17958479.0,
1431
+ "reward": 2.968362331390381,
1432
+ "reward_std": 1.3150081634521484,
1433
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1434
+ "rewards/successful_code_execution_reward_func": 0.9317336082458496,
1435
+ "rewards/successful_no_deal_reward_func": 0.6875,
1436
+ "rewards/successful_parsing_reward_func": 0.9003890752792358,
1437
+ "rewards/utility_reward_func": 0.053254999220371246,
1438
+ "step": 51
1439
+ },
1440
+ {
1441
+ "clip_ratio/high_max": NaN,
1442
+ "clip_ratio/high_mean": NaN,
1443
+ "clip_ratio/low_mean": NaN,
1444
+ "clip_ratio/low_min": NaN,
1445
+ "clip_ratio/region_mean": NaN,
1446
+ "completions/clipped_ratio": 0.09375,
1447
+ "completions/max_length": 10872.0,
1448
+ "completions/max_terminated_length": 10872.0,
1449
+ "completions/mean_length": 6536.28125,
1450
+ "completions/mean_terminated_length": 7212.448275862069,
1451
+ "completions/min_length": 0.0,
1452
+ "completions/min_terminated_length": 4263.0,
1453
+ "epoch": 0.1111111111111111,
1454
+ "grad_norm": 0.03718996563528003,
1455
+ "kl": NaN,
1456
+ "learning_rate": 2e-05,
1457
+ "loss": -0.0024,
1458
+ "num_tokens": 18366031.0,
1459
+ "reward": 2.8633077144622803,
1460
+ "reward_std": 1.4587385654449463,
1461
+ "rewards/constraint_satisfaction_reward_func": 0.96875,
1462
+ "rewards/successful_code_execution_reward_func": 0.9080356955528259,
1463
+ "rewards/successful_no_deal_reward_func": 0.625,
1464
+ "rewards/successful_parsing_reward_func": 0.8871028423309326,
1465
+ "rewards/utility_reward_func": 0.05248062312602997,
1466
+ "step": 52
1467
+ },
1468
+ {
1469
+ "clip_ratio/high_max": 0.0,
1470
+ "clip_ratio/high_mean": 0.0,
1471
+ "clip_ratio/low_mean": 0.0,
1472
+ "clip_ratio/low_min": 0.0,
1473
+ "clip_ratio/region_mean": 0.0,
1474
+ "completions/clipped_ratio": 0.0625,
1475
+ "completions/max_length": 8489.0,
1476
+ "completions/max_terminated_length": 8489.0,
1477
+ "completions/mean_length": 5517.625,
1478
+ "completions/mean_terminated_length": 5885.466666666666,
1479
+ "completions/min_length": 0.0,
1480
+ "completions/min_terminated_length": 3481.0,
1481
+ "epoch": 0.11324786324786325,
1482
+ "grad_norm": 0.07000245223651237,
1483
+ "kl": 0.095703125,
1484
+ "learning_rate": 2e-05,
1485
+ "loss": -0.0067,
1486
+ "num_tokens": 18727862.0,
1487
+ "reward": 9.138480186462402,
1488
+ "reward_std": 5.334235668182373,
1489
+ "rewards/constraint_satisfaction_reward_func": 0.984375,
1490
+ "rewards/successful_code_execution_reward_func": 0.8934895992279053,
1491
+ "rewards/successful_no_deal_reward_func": 0.5625,
1492
+ "rewards/successful_parsing_reward_func": 0.8407135009765625,
1493
+ "rewards/utility_reward_func": 0.2636790871620178,
1494
+ "step": 53
1495
+ },
1496
+ {
1497
+ "clip_ratio/high_max": 0.0,
1498
+ "clip_ratio/high_mean": 0.0,
1499
+ "clip_ratio/low_mean": 0.0,
1500
+ "clip_ratio/low_min": 0.0,
1501
+ "clip_ratio/region_mean": 0.0,
1502
+ "completions/clipped_ratio": 0.09375,
1503
+ "completions/max_length": 10454.0,
1504
+ "completions/max_terminated_length": 10454.0,
1505
+ "completions/mean_length": 5502.0625,
1506
+ "completions/mean_terminated_length": 6071.241379310345,
1507
+ "completions/min_length": 0.0,
1508
+ "completions/min_terminated_length": 3344.0,
1509
+ "epoch": 0.11538461538461539,
1510
+ "grad_norm": 0.15958852057504191,
1511
+ "kl": 0.130096435546875,
1512
+ "learning_rate": 2e-05,
1513
+ "loss": -0.029,
1514
+ "num_tokens": 19105506.0,
1515
+ "reward": 8.657028198242188,
1516
+ "reward_std": 5.453444480895996,
1517
+ "rewards/constraint_satisfaction_reward_func": 0.984375,
1518
+ "rewards/successful_code_execution_reward_func": 0.9398065805435181,
1519
+ "rewards/successful_no_deal_reward_func": 0.546875,
1520
+ "rewards/successful_parsing_reward_func": 0.7914034128189087,
1521
+ "rewards/utility_reward_func": 0.24816150963306427,
1522
+ "step": 54
1523
+ },
1524
+ {
1525
+ "clip_ratio/high_max": 0.0,
1526
+ "clip_ratio/high_mean": 0.0,
1527
+ "clip_ratio/low_mean": 0.0,
1528
+ "clip_ratio/low_min": 0.0,
1529
+ "clip_ratio/region_mean": 0.0,
1530
+ "completions/clipped_ratio": 0.09375,
1531
+ "completions/max_length": 10317.0,
1532
+ "completions/max_terminated_length": 10317.0,
1533
+ "completions/mean_length": 5991.5,
1534
+ "completions/mean_terminated_length": 6611.310344827586,
1535
+ "completions/min_length": 0.0,
1536
+ "completions/min_terminated_length": 3320.0,
1537
+ "epoch": 0.11752136752136752,
1538
+ "grad_norm": 0.06674299870442284,
1539
+ "kl": 0.09130859375,
1540
+ "learning_rate": 2e-05,
1541
+ "loss": -0.032,
1542
+ "num_tokens": 19481400.0,
1543
+ "reward": 10.987039566040039,
1544
+ "reward_std": 4.5664963722229,
1545
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1546
+ "rewards/successful_code_execution_reward_func": 0.9111378192901611,
1547
+ "rewards/successful_no_deal_reward_func": 0.5625,
1548
+ "rewards/successful_parsing_reward_func": 0.8698784708976746,
1549
+ "rewards/utility_reward_func": 0.32488125562667847,
1550
+ "step": 55
1551
+ },
1552
+ {
1553
+ "clip_ratio/high_max": 0.0,
1554
+ "clip_ratio/high_mean": 0.0,
1555
+ "clip_ratio/low_mean": 0.0,
1556
+ "clip_ratio/low_min": 0.0,
1557
+ "clip_ratio/region_mean": 0.0,
1558
+ "completions/clipped_ratio": 0.09375,
1559
+ "completions/max_length": 11647.0,
1560
+ "completions/max_terminated_length": 11647.0,
1561
+ "completions/mean_length": 5948.34375,
1562
+ "completions/mean_terminated_length": 6563.689655172414,
1563
+ "completions/min_length": 0.0,
1564
+ "completions/min_terminated_length": 3207.0,
1565
+ "epoch": 0.11965811965811966,
1566
+ "grad_norm": 0.06381001518888112,
1567
+ "kl": 0.09112548828125,
1568
+ "learning_rate": 2e-05,
1569
+ "loss": -0.006,
1570
+ "num_tokens": 19854767.0,
1571
+ "reward": 8.135985374450684,
1572
+ "reward_std": 4.6707611083984375,
1573
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1574
+ "rewards/successful_code_execution_reward_func": 0.9406249523162842,
1575
+ "rewards/successful_no_deal_reward_func": 0.515625,
1576
+ "rewards/successful_parsing_reward_func": 0.8900917768478394,
1577
+ "rewards/utility_reward_func": 0.23124295473098755,
1578
+ "step": 56
1579
+ },
1580
+ {
1581
+ "clip_ratio/high_max": 0.0,
1582
+ "clip_ratio/high_mean": 0.0,
1583
+ "clip_ratio/low_mean": 0.0,
1584
+ "clip_ratio/low_min": 0.0,
1585
+ "clip_ratio/region_mean": 0.0,
1586
+ "completions/clipped_ratio": 0.0,
1587
+ "completions/max_length": 9240.0,
1588
+ "completions/max_terminated_length": 9240.0,
1589
+ "completions/mean_length": 5740.6875,
1590
+ "completions/mean_terminated_length": 5740.6875,
1591
+ "completions/min_length": 2702.0,
1592
+ "completions/min_terminated_length": 2702.0,
1593
+ "epoch": 0.12179487179487179,
1594
+ "grad_norm": 0.04339549040283508,
1595
+ "kl": 0.100372314453125,
1596
+ "learning_rate": 2e-05,
1597
+ "loss": 0.008,
1598
+ "num_tokens": 20191894.0,
1599
+ "reward": 8.311476707458496,
1600
+ "reward_std": 4.060470104217529,
1601
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1602
+ "rewards/successful_code_execution_reward_func": 0.9272196888923645,
1603
+ "rewards/successful_no_deal_reward_func": 0.421875,
1604
+ "rewards/successful_parsing_reward_func": 0.8717137575149536,
1605
+ "rewards/utility_reward_func": 0.24032360315322876,
1606
+ "step": 57
1607
+ },
1608
+ {
1609
+ "clip_ratio/high_max": 0.0,
1610
+ "clip_ratio/high_mean": 0.0,
1611
+ "clip_ratio/low_mean": 0.0,
1612
+ "clip_ratio/low_min": 0.0,
1613
+ "clip_ratio/region_mean": 0.0,
1614
+ "completions/clipped_ratio": 0.0625,
1615
+ "completions/max_length": 11047.0,
1616
+ "completions/max_terminated_length": 11047.0,
1617
+ "completions/mean_length": 6486.1875,
1618
+ "completions/mean_terminated_length": 6918.6,
1619
+ "completions/min_length": 0.0,
1620
+ "completions/min_terminated_length": 2191.0,
1621
+ "epoch": 0.12393162393162394,
1622
+ "grad_norm": 0.047643632225391426,
1623
+ "kl": 0.0866241455078125,
1624
+ "learning_rate": 2e-05,
1625
+ "loss": -0.0208,
1626
+ "num_tokens": 20580540.0,
1627
+ "reward": 9.361209869384766,
1628
+ "reward_std": 4.704495906829834,
1629
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1630
+ "rewards/successful_code_execution_reward_func": 0.9267857074737549,
1631
+ "rewards/successful_no_deal_reward_func": 0.421875,
1632
+ "rewards/successful_parsing_reward_func": 0.8713778257369995,
1633
+ "rewards/utility_reward_func": 0.2753172516822815,
1634
+ "step": 58
1635
+ },
1636
+ {
1637
+ "clip_ratio/high_max": 0.0,
1638
+ "clip_ratio/high_mean": 0.0,
1639
+ "clip_ratio/low_mean": 0.0,
1640
+ "clip_ratio/low_min": 0.0,
1641
+ "clip_ratio/region_mean": 0.0,
1642
+ "completions/clipped_ratio": 0.0625,
1643
+ "completions/max_length": 9325.0,
1644
+ "completions/max_terminated_length": 9325.0,
1645
+ "completions/mean_length": 5433.3125,
1646
+ "completions/mean_terminated_length": 5795.533333333334,
1647
+ "completions/min_length": 0.0,
1648
+ "completions/min_terminated_length": 3548.0,
1649
+ "epoch": 0.12606837606837606,
1650
+ "grad_norm": 0.06527076242487305,
1651
+ "kl": 0.100128173828125,
1652
+ "learning_rate": 2e-05,
1653
+ "loss": -0.0595,
1654
+ "num_tokens": 20929760.0,
1655
+ "reward": 9.511280059814453,
1656
+ "reward_std": 2.9424219131469727,
1657
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1658
+ "rewards/successful_code_execution_reward_func": 0.9066296219825745,
1659
+ "rewards/successful_no_deal_reward_func": 0.453125,
1660
+ "rewards/successful_parsing_reward_func": 0.8526886701583862,
1661
+ "rewards/utility_reward_func": 0.27940744161605835,
1662
+ "step": 59
1663
+ },
1664
+ {
1665
+ "clip_ratio/high_max": 0.0,
1666
+ "clip_ratio/high_mean": 0.0,
1667
+ "clip_ratio/low_mean": 0.0,
1668
+ "clip_ratio/low_min": 0.0,
1669
+ "clip_ratio/region_mean": 0.0,
1670
+ "completions/clipped_ratio": 0.09375,
1671
+ "completions/max_length": 9701.0,
1672
+ "completions/max_terminated_length": 9701.0,
1673
+ "completions/mean_length": 5489.21875,
1674
+ "completions/mean_terminated_length": 6057.068965517241,
1675
+ "completions/min_length": 0.0,
1676
+ "completions/min_terminated_length": 3070.0,
1677
+ "epoch": 0.1282051282051282,
1678
+ "grad_norm": 0.06022558654926435,
1679
+ "kl": 0.087799072265625,
1680
+ "learning_rate": 2e-05,
1681
+ "loss": -0.0458,
1682
+ "num_tokens": 21305760.0,
1683
+ "reward": 8.836292266845703,
1684
+ "reward_std": 4.981121063232422,
1685
+ "rewards/constraint_satisfaction_reward_func": 1.0,
1686
+ "rewards/successful_code_execution_reward_func": 0.9498511552810669,
1687
+ "rewards/successful_no_deal_reward_func": 0.390625,
1688
+ "rewards/successful_parsing_reward_func": 0.8065916299819946,
1689
+ "rewards/utility_reward_func": 0.2590007781982422,
1690
+ "step": 60
1691
+ }
1692
+ ],
1693
+ "logging_steps": 1,
1694
+ "max_steps": 60,
1695
+ "num_input_tokens_seen": 21305760,
1696
+ "num_train_epochs": 1,
1697
+ "save_steps": 15,
1698
+ "stateful_callbacks": {
1699
+ "TrainerControl": {
1700
+ "args": {
1701
+ "should_epoch_stop": false,
1702
+ "should_evaluate": false,
1703
+ "should_log": false,
1704
+ "should_save": true,
1705
+ "should_training_stop": true
1706
+ },
1707
+ "attributes": {}
1708
+ }
1709
+ },
1710
+ "total_flos": 0.0,
1711
+ "train_batch_size": 1,
1712
+ "trial_name": null,
1713
+ "trial_params": null
1714
+ }
vocab.json ADDED
The diff for this file is too large to render. See raw diff