Hugging Face's logo

xingxm
/
DesignCoder

Text Generation
Transformers
Safetensors
designcoder
ui-generation
front-end
html
css
javascript
code-generation
full-sft
Model card Files
xet
 Community
xingxm commited on
Commit
f9e65a9
·
verified ·
1 Parent(s): 37b3307

Add designcoder_qwen3.6_27b_adamw_bs32_step1900_r2 (base Qwen3.6-27B, AdamW, lr1e-5, global bs32, 2 epochs, step 1900, rerun 2)

Browse files
Files changed (15) hide show
  1. .gitattributes +1 -0
  2. designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/all_results.json +8 -0
  3. designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/chat_template.jinja +154 -0
  4. designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/config.json +147 -0
  5. designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/generation_config.json +13 -0
  6. designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/model-00001-of-00002.safetensors +3 -0
  7. designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/model-00002-of-00002.safetensors +3 -0
  8. designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/model.safetensors.index.json +0 -0
  9. designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/processor_config.json +60 -0
  10. designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/tokenizer.json +3 -0
  11. designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/tokenizer_config.json +34 -0
  12. designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/train_results.json +8 -0
  13. designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/trainer_log.jsonl +191 -0
  14. designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/trainer_state.json +1373 -0
  15. designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/training_loss.png +0 -0
.gitattributes CHANGED
@@ -38,3 +38,4 @@ designcoder_qwen3.5_9b_adamw_bs16_step3800/tokenizer.json filter=lfs diff=lfs me
38
  designcoder_qwen3.5_9b_muon_bs16_step3800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
39
  designcoder_qwen3.5_9b_adamw_bs16_ep20_step38000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
40
  designcoder_qwen3.6_27b_adamw_bs32_step1900/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
38
  designcoder_qwen3.5_9b_muon_bs16_step3800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
39
  designcoder_qwen3.5_9b_adamw_bs16_ep20_step38000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
40
  designcoder_qwen3.6_27b_adamw_bs32_step1900/tokenizer.json filter=lfs diff=lfs merge=lfs -text
41
+ designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/tokenizer.json filter=lfs diff=lfs merge=lfs -text
designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "total_flos": 3.659698498699264e+16,
4
+ "train_loss": 0.22238492313184235,
5
+ "train_runtime": 118983.8658,
6
+ "train_samples_per_second": 0.511,
7
+ "train_steps_per_second": 0.016
8
+ }
designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/chat_template.jinja ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- set image_count = namespace(value=0) %}
2
+ {%- set video_count = namespace(value=0) %}
3
+ {%- macro render_content(content, do_vision_count, is_system_content=false) %}
4
+ {%- if content is string %}
5
+ {{- content }}
6
+ {%- elif content is iterable and content is not mapping %}
7
+ {%- for item in content %}
8
+ {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
+ {%- if is_system_content %}
10
+ {{- raise_exception('System message cannot contain images.') }}
11
+ {%- endif %}
12
+ {%- if do_vision_count %}
13
+ {%- set image_count.value = image_count.value + 1 %}
14
+ {%- endif %}
15
+ {%- if add_vision_id %}
16
+ {{- 'Picture ' ~ image_count.value ~ ': ' }}
17
+ {%- endif %}
18
+ {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
19
+ {%- elif 'video' in item or item.type == 'video' %}
20
+ {%- if is_system_content %}
21
+ {{- raise_exception('System message cannot contain videos.') }}
22
+ {%- endif %}
23
+ {%- if do_vision_count %}
24
+ {%- set video_count.value = video_count.value + 1 %}
25
+ {%- endif %}
26
+ {%- if add_vision_id %}
27
+ {{- 'Video ' ~ video_count.value ~ ': ' }}
28
+ {%- endif %}
29
+ {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
30
+ {%- elif 'text' in item %}
31
+ {{- item.text }}
32
+ {%- else %}
33
+ {{- raise_exception('Unexpected item type in content.') }}
34
+ {%- endif %}
35
+ {%- endfor %}
36
+ {%- elif content is none or content is undefined %}
37
+ {{- '' }}
38
+ {%- else %}
39
+ {{- raise_exception('Unexpected content type.') }}
40
+ {%- endif %}
41
+ {%- endmacro %}
42
+ {%- if not messages %}
43
+ {{- raise_exception('No messages provided.') }}
44
+ {%- endif %}
45
+ {%- if tools and tools is iterable and tools is not mapping %}
46
+ {{- '<|im_start|>system\n' }}
47
+ {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
48
+ {%- for tool in tools %}
49
+ {{- "\n" }}
50
+ {{- tool | tojson }}
51
+ {%- endfor %}
52
+ {{- "\n</tools>" }}
53
+ {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
54
+ {%- if messages[0].role == 'system' %}
55
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
56
+ {%- if content %}
57
+ {{- '\n\n' + content }}
58
+ {%- endif %}
59
+ {%- endif %}
60
+ {{- '<|im_end|>\n' }}
61
+ {%- else %}
62
+ {%- if messages[0].role == 'system' %}
63
+ {%- set content = render_content(messages[0].content, false, true)|trim %}
64
+ {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
65
+ {%- endif %}
66
+ {%- endif %}
67
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
68
+ {%- for message in messages[::-1] %}
69
+ {%- set index = (messages|length - 1) - loop.index0 %}
70
+ {%- if ns.multi_step_tool and message.role == "user" %}
71
+ {%- set content = render_content(message.content, false)|trim %}
72
+ {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
73
+ {%- set ns.multi_step_tool = false %}
74
+ {%- set ns.last_query_index = index %}
75
+ {%- endif %}
76
+ {%- endif %}
77
+ {%- endfor %}
78
+ {%- if ns.multi_step_tool %}
79
+ {{- raise_exception('No user query found in messages.') }}
80
+ {%- endif %}
81
+ {%- for message in messages %}
82
+ {%- set content = render_content(message.content, true)|trim %}
83
+ {%- if message.role == "system" %}
84
+ {%- if not loop.first %}
85
+ {{- raise_exception('System message must be at the beginning.') }}
86
+ {%- endif %}
87
+ {%- elif message.role == "user" %}
88
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
89
+ {%- elif message.role == "assistant" %}
90
+ {%- set reasoning_content = '' %}
91
+ {%- if message.reasoning_content is string %}
92
+ {%- set reasoning_content = message.reasoning_content %}
93
+ {%- else %}
94
+ {%- if '</think>' in content %}
95
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
96
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
97
+ {%- endif %}
98
+ {%- endif %}
99
+ {%- set reasoning_content = reasoning_content|trim %}
100
+ {%- if (preserve_thinking is defined and preserve_thinking is true) or (loop.index0 > ns.last_query_index) %}
101
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
102
+ {%- else %}
103
+ {{- '<|im_start|>' + message.role + '\n' + content }}
104
+ {%- endif %}
105
+ {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
106
+ {%- for tool_call in message.tool_calls %}
107
+ {%- if tool_call.function is defined %}
108
+ {%- set tool_call = tool_call.function %}
109
+ {%- endif %}
110
+ {%- if loop.first %}
111
+ {%- if content|trim %}
112
+ {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
113
+ {%- else %}
114
+ {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
115
+ {%- endif %}
116
+ {%- else %}
117
+ {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
118
+ {%- endif %}
119
+ {%- if tool_call.arguments is defined %}
120
+ {%- for args_name, args_value in tool_call.arguments|items %}
121
+ {{- '<parameter=' + args_name + '>\n' }}
122
+ {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
123
+ {{- args_value }}
124
+ {{- '\n</parameter>\n' }}
125
+ {%- endfor %}
126
+ {%- endif %}
127
+ {{- '</function>\n</tool_call>' }}
128
+ {%- endfor %}
129
+ {%- endif %}
130
+ {{- '<|im_end|>\n' }}
131
+ {%- elif message.role == "tool" %}
132
+ {%- if loop.previtem and loop.previtem.role != "tool" %}
133
+ {{- '<|im_start|>user' }}
134
+ {%- endif %}
135
+ {{- '\n<tool_response>\n' }}
136
+ {{- content }}
137
+ {{- '\n</tool_response>' }}
138
+ {%- if not loop.last and loop.nextitem.role != "tool" %}
139
+ {{- '<|im_end|>\n' }}
140
+ {%- elif loop.last %}
141
+ {{- '<|im_end|>\n' }}
142
+ {%- endif %}
143
+ {%- else %}
144
+ {{- raise_exception('Unexpected message role.') }}
145
+ {%- endif %}
146
+ {%- endfor %}
147
+ {%- if add_generation_prompt %}
148
+ {{- '<|im_start|>assistant\n' }}
149
+ {%- if enable_thinking is defined and enable_thinking is false %}
150
+ {{- '<think>\n\n</think>\n\n' }}
151
+ {%- else %}
152
+ {{- '<think>\n' }}
153
+ {%- endif %}
154
+ {%- endif %}
designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/config.json ADDED
@@ -0,0 +1,147 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3_5ForConditionalGeneration"
4
+ ],
5
+ "bos_token_id": null,
6
+ "dtype": "bfloat16",
7
+ "eos_token_id": 248046,
8
+ "hidden_size": 5120,
9
+ "image_token_id": 248056,
10
+ "language_model_only": false,
11
+ "model_type": "qwen3_5",
12
+ "pad_token_id": 248044,
13
+ "text_config": {
14
+ "attention_bias": false,
15
+ "attention_dropout": 0.0,
16
+ "attn_output_gate": true,
17
+ "bos_token_id": 248044,
18
+ "dtype": "bfloat16",
19
+ "eos_token_id": 248044,
20
+ "full_attention_interval": 4,
21
+ "head_dim": 256,
22
+ "hidden_act": "silu",
23
+ "hidden_size": 5120,
24
+ "initializer_range": 0.02,
25
+ "intermediate_size": 17408,
26
+ "layer_types": [
27
+ "linear_attention",
28
+ "linear_attention",
29
+ "linear_attention",
30
+ "full_attention",
31
+ "linear_attention",
32
+ "linear_attention",
33
+ "linear_attention",
34
+ "full_attention",
35
+ "linear_attention",
36
+ "linear_attention",
37
+ "linear_attention",
38
+ "full_attention",
39
+ "linear_attention",
40
+ "linear_attention",
41
+ "linear_attention",
42
+ "full_attention",
43
+ "linear_attention",
44
+ "linear_attention",
45
+ "linear_attention",
46
+ "full_attention",
47
+ "linear_attention",
48
+ "linear_attention",
49
+ "linear_attention",
50
+ "full_attention",
51
+ "linear_attention",
52
+ "linear_attention",
53
+ "linear_attention",
54
+ "full_attention",
55
+ "linear_attention",
56
+ "linear_attention",
57
+ "linear_attention",
58
+ "full_attention",
59
+ "linear_attention",
60
+ "linear_attention",
61
+ "linear_attention",
62
+ "full_attention",
63
+ "linear_attention",
64
+ "linear_attention",
65
+ "linear_attention",
66
+ "full_attention",
67
+ "linear_attention",
68
+ "linear_attention",
69
+ "linear_attention",
70
+ "full_attention",
71
+ "linear_attention",
72
+ "linear_attention",
73
+ "linear_attention",
74
+ "full_attention",
75
+ "linear_attention",
76
+ "linear_attention",
77
+ "linear_attention",
78
+ "full_attention",
79
+ "linear_attention",
80
+ "linear_attention",
81
+ "linear_attention",
82
+ "full_attention",
83
+ "linear_attention",
84
+ "linear_attention",
85
+ "linear_attention",
86
+ "full_attention",
87
+ "linear_attention",
88
+ "linear_attention",
89
+ "linear_attention",
90
+ "full_attention"
91
+ ],
92
+ "linear_conv_kernel_dim": 4,
93
+ "linear_key_head_dim": 128,
94
+ "linear_num_key_heads": 16,
95
+ "linear_num_value_heads": 48,
96
+ "linear_value_head_dim": 128,
97
+ "mamba_ssm_dtype": "float32",
98
+ "max_position_embeddings": 262144,
99
+ "model_type": "qwen3_5_text",
100
+ "mtp_num_hidden_layers": 1,
101
+ "mtp_use_dedicated_embeddings": false,
102
+ "num_attention_heads": 24,
103
+ "num_hidden_layers": 64,
104
+ "num_key_value_heads": 4,
105
+ "output_gate_type": "swish",
106
+ "pad_token_id": null,
107
+ "partial_rotary_factor": 0.25,
108
+ "rms_norm_eps": 1e-06,
109
+ "rope_parameters": {
110
+ "mrope_interleaved": true,
111
+ "mrope_section": [
112
+ 11,
113
+ 11,
114
+ 10
115
+ ],
116
+ "partial_rotary_factor": 0.25,
117
+ "rope_theta": 10000000,
118
+ "rope_type": "default"
119
+ },
120
+ "tie_word_embeddings": false,
121
+ "use_cache": false,
122
+ "vocab_size": 248320
123
+ },
124
+ "tie_word_embeddings": false,
125
+ "transformers_version": "5.8.0",
126
+ "use_cache": false,
127
+ "video_token_id": 248057,
128
+ "vision_config": {
129
+ "deepstack_visual_indexes": [],
130
+ "depth": 27,
131
+ "dtype": "bfloat16",
132
+ "hidden_act": "gelu_pytorch_tanh",
133
+ "hidden_size": 1152,
134
+ "in_channels": 3,
135
+ "initializer_range": 0.02,
136
+ "intermediate_size": 4304,
137
+ "model_type": "qwen3_5_vision",
138
+ "num_heads": 16,
139
+ "num_position_embeddings": 2304,
140
+ "out_hidden_size": 5120,
141
+ "patch_size": 16,
142
+ "spatial_merge_size": 2,
143
+ "temporal_patch_size": 2
144
+ },
145
+ "vision_end_token_id": 248054,
146
+ "vision_start_token_id": 248053
147
+ }
designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_sample": true,
3
+ "eos_token_id": [
4
+ 248046,
5
+ 248046,
6
+ 248044
7
+ ],
8
+ "pad_token_id": 248044,
9
+ "temperature": 1.0,
10
+ "top_k": 20,
11
+ "top_p": 0.95,
12
+ "transformers_version": "5.8.0"
13
+ }
designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8132a3ae16b9c823ba88fb6d533a44ba943bfd978537557b1f1a15bd24009853
3
+ size 49825162976
designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:10c7cd57418c790f6e3edc9545cded16453c6eb96e4ec73a568cb8ffcddc60f8
3
+ size 4888445168
designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/processor_config.json ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "image_processor": {
3
+ "do_convert_rgb": true,
4
+ "do_normalize": true,
5
+ "do_rescale": true,
6
+ "do_resize": true,
7
+ "image_mean": [
8
+ 0.5,
9
+ 0.5,
10
+ 0.5
11
+ ],
12
+ "image_processor_type": "Qwen2VLImageProcessor",
13
+ "image_std": [
14
+ 0.5,
15
+ 0.5,
16
+ 0.5
17
+ ],
18
+ "merge_size": 2,
19
+ "patch_size": 16,
20
+ "resample": 3,
21
+ "rescale_factor": 0.00392156862745098,
22
+ "size": {
23
+ "longest_edge": 16777216,
24
+ "shortest_edge": 65536
25
+ },
26
+ "temporal_patch_size": 2
27
+ },
28
+ "processor_class": "Qwen3VLProcessor",
29
+ "video_processor": {
30
+ "do_convert_rgb": true,
31
+ "do_normalize": true,
32
+ "do_rescale": true,
33
+ "do_resize": true,
34
+ "do_sample_frames": true,
35
+ "fps": 2,
36
+ "image_mean": [
37
+ 0.5,
38
+ 0.5,
39
+ 0.5
40
+ ],
41
+ "image_std": [
42
+ 0.5,
43
+ 0.5,
44
+ 0.5
45
+ ],
46
+ "max_frames": 768,
47
+ "merge_size": 2,
48
+ "min_frames": 4,
49
+ "patch_size": 16,
50
+ "resample": 3,
51
+ "rescale_factor": 0.00392156862745098,
52
+ "return_metadata": false,
53
+ "size": {
54
+ "longest_edge": 25165824,
55
+ "shortest_edge": 4096
56
+ },
57
+ "temporal_patch_size": 2,
58
+ "video_processor_type": "Qwen3VLVideoProcessor"
59
+ }
60
+ }
designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
3
+ size 19989325
designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/tokenizer_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "audio_bos_token": "<|audio_start|>",
4
+ "audio_eos_token": "<|audio_end|>",
5
+ "audio_token": "<|audio_pad|>",
6
+ "backend": "tokenizers",
7
+ "bos_token": null,
8
+ "clean_up_tokenization_spaces": false,
9
+ "eos_token": "<|im_end|>",
10
+ "errors": "replace",
11
+ "image_token": "<|image_pad|>",
12
+ "is_local": true,
13
+ "local_files_only": false,
14
+ "model_max_length": 262144,
15
+ "model_specific_special_tokens": {
16
+ "audio_bos_token": "<|audio_start|>",
17
+ "audio_eos_token": "<|audio_end|>",
18
+ "audio_token": "<|audio_pad|>",
19
+ "image_token": "<|image_pad|>",
20
+ "video_token": "<|video_pad|>",
21
+ "vision_bos_token": "<|vision_start|>",
22
+ "vision_eos_token": "<|vision_end|>"
23
+ },
24
+ "pad_token": "<|endoftext|>",
25
+ "padding_side": "right",
26
+ "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
27
+ "processor_class": "Qwen3VLProcessor",
28
+ "split_special_tokens": false,
29
+ "tokenizer_class": "Qwen2Tokenizer",
30
+ "unk_token": null,
31
+ "video_token": "<|video_pad|>",
32
+ "vision_bos_token": "<|vision_start|>",
33
+ "vision_eos_token": "<|vision_end|>"
34
+ }
designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "total_flos": 3.659698498699264e+16,
4
+ "train_loss": 0.22238492313184235,
5
+ "train_runtime": 118983.8658,
6
+ "train_samples_per_second": 0.511,
7
+ "train_steps_per_second": 0.016
8
+ }
designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/trainer_log.jsonl ADDED
@@ -0,0 +1,191 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 10, "total_steps": 1900, "loss": 0.4388035774230957, "lr": 4.7368421052631585e-07, "epoch": 0.010526315789473684, "percentage": 0.53, "elapsed_time": "0:10:44", "remaining_time": "1 day, 9:49:58"}
2
+ {"current_steps": 20, "total_steps": 1900, "loss": 0.41839752197265623, "lr": 1.0000000000000002e-06, "epoch": 0.021052631578947368, "percentage": 1.05, "elapsed_time": "0:20:59", "remaining_time": "1 day, 8:53:12"}
3
+ {"current_steps": 30, "total_steps": 1900, "loss": 0.38866329193115234, "lr": 1.5263157894736844e-06, "epoch": 0.031578947368421054, "percentage": 1.58, "elapsed_time": "0:31:08", "remaining_time": "1 day, 8:20:53"}
4
+ {"current_steps": 40, "total_steps": 1900, "loss": 0.34850707054138186, "lr": 2.0526315789473687e-06, "epoch": 0.042105263157894736, "percentage": 2.11, "elapsed_time": "0:41:21", "remaining_time": "1 day, 8:03:01"}
5
+ {"current_steps": 50, "total_steps": 1900, "loss": 0.33446664810180665, "lr": 2.578947368421053e-06, "epoch": 0.05263157894736842, "percentage": 2.63, "elapsed_time": "0:51:41", "remaining_time": "1 day, 7:52:43"}
6
+ {"current_steps": 60, "total_steps": 1900, "loss": 0.3249298095703125, "lr": 3.1052631578947372e-06, "epoch": 0.06315789473684211, "percentage": 3.16, "elapsed_time": "1:01:59", "remaining_time": "1 day, 7:41:12"}
7
+ {"current_steps": 70, "total_steps": 1900, "loss": 0.3074101686477661, "lr": 3.6315789473684217e-06, "epoch": 0.07368421052631578, "percentage": 3.68, "elapsed_time": "1:12:17", "remaining_time": "1 day, 7:29:57"}
8
+ {"current_steps": 80, "total_steps": 1900, "loss": 0.2968882083892822, "lr": 4.157894736842106e-06, "epoch": 0.08421052631578947, "percentage": 4.21, "elapsed_time": "1:22:42", "remaining_time": "1 day, 7:21:28"}
9
+ {"current_steps": 90, "total_steps": 1900, "loss": 0.29561786651611327, "lr": 4.68421052631579e-06, "epoch": 0.09473684210526316, "percentage": 4.74, "elapsed_time": "1:33:02", "remaining_time": "1 day, 7:11:04"}
10
+ {"current_steps": 100, "total_steps": 1900, "loss": 0.2849203824996948, "lr": 5.210526315789474e-06, "epoch": 0.10526315789473684, "percentage": 5.26, "elapsed_time": "1:43:20", "remaining_time": "1 day, 7:00:03"}
11
+ {"current_steps": 110, "total_steps": 1900, "loss": 0.2833810091018677, "lr": 5.736842105263158e-06, "epoch": 0.11578947368421053, "percentage": 5.79, "elapsed_time": "1:53:41", "remaining_time": "1 day, 6:50:02"}
12
+ {"current_steps": 120, "total_steps": 1900, "loss": 0.27774202823638916, "lr": 6.263157894736842e-06, "epoch": 0.12631578947368421, "percentage": 6.32, "elapsed_time": "2:04:00", "remaining_time": "1 day, 6:39:33"}
13
+ {"current_steps": 130, "total_steps": 1900, "loss": 0.270052433013916, "lr": 6.789473684210527e-06, "epoch": 0.1368421052631579, "percentage": 6.84, "elapsed_time": "2:14:16", "remaining_time": "1 day, 6:28:09"}
14
+ {"current_steps": 140, "total_steps": 1900, "loss": 0.2713931560516357, "lr": 7.315789473684212e-06, "epoch": 0.14736842105263157, "percentage": 7.37, "elapsed_time": "2:24:30", "remaining_time": "1 day, 6:16:41"}
15
+ {"current_steps": 150, "total_steps": 1900, "loss": 0.2677438259124756, "lr": 7.842105263157895e-06, "epoch": 0.15789473684210525, "percentage": 7.89, "elapsed_time": "2:34:45", "remaining_time": "1 day, 6:05:31"}
16
+ {"current_steps": 160, "total_steps": 1900, "loss": 0.27045254707336425, "lr": 8.36842105263158e-06, "epoch": 0.16842105263157894, "percentage": 8.42, "elapsed_time": "2:45:06", "remaining_time": "1 day, 5:55:29"}
17
+ {"current_steps": 170, "total_steps": 1900, "loss": 0.26593449115753176, "lr": 8.894736842105264e-06, "epoch": 0.17894736842105263, "percentage": 8.95, "elapsed_time": "2:55:22", "remaining_time": "1 day, 5:44:43"}
18
+ {"current_steps": 180, "total_steps": 1900, "loss": 0.2692275524139404, "lr": 9.421052631578949e-06, "epoch": 0.18947368421052632, "percentage": 9.47, "elapsed_time": "3:05:43", "remaining_time": "1 day, 5:34:42"}
19
+ {"current_steps": 190, "total_steps": 1900, "loss": 0.2617882013320923, "lr": 9.947368421052632e-06, "epoch": 0.2, "percentage": 10.0, "elapsed_time": "3:16:03", "remaining_time": "1 day, 5:24:28"}
20
+ {"current_steps": 200, "total_steps": 1900, "loss": 0.2579406499862671, "lr": 9.999316524962347e-06, "epoch": 0.21052631578947367, "percentage": 10.53, "elapsed_time": "3:26:23", "remaining_time": "1 day, 5:14:23"}
21
+ {"current_steps": 210, "total_steps": 1900, "loss": 0.2633354187011719, "lr": 9.99695413509548e-06, "epoch": 0.22105263157894736, "percentage": 11.05, "elapsed_time": "3:36:35", "remaining_time": "1 day, 5:02:59"}
22
+ {"current_steps": 220, "total_steps": 1900, "loss": 0.26079983711242677, "lr": 9.992905189592214e-06, "epoch": 0.23157894736842105, "percentage": 11.58, "elapsed_time": "3:46:58", "remaining_time": "1 day, 4:53:18"}
23
+ {"current_steps": 230, "total_steps": 1900, "loss": 0.2591416835784912, "lr": 9.987171055039409e-06, "epoch": 0.24210526315789474, "percentage": 12.11, "elapsed_time": "3:57:17", "remaining_time": "1 day, 4:42:56"}
24
+ {"current_steps": 240, "total_steps": 1900, "loss": 0.2563564538955688, "lr": 9.979753666803427e-06, "epoch": 0.25263157894736843, "percentage": 12.63, "elapsed_time": "4:07:33", "remaining_time": "1 day, 4:32:19"}
25
+ {"current_steps": 250, "total_steps": 1900, "loss": 0.25649425983428953, "lr": 9.970655528376914e-06, "epoch": 0.2631578947368421, "percentage": 13.16, "elapsed_time": "4:17:49", "remaining_time": "1 day, 4:21:39"}
26
+ {"current_steps": 260, "total_steps": 1900, "loss": 0.2514047622680664, "lr": 9.959879710533835e-06, "epoch": 0.2736842105263158, "percentage": 13.68, "elapsed_time": "4:28:00", "remaining_time": "1 day, 4:10:31"}
27
+ {"current_steps": 270, "total_steps": 1900, "loss": 0.25052080154418943, "lr": 9.947429850293025e-06, "epoch": 0.28421052631578947, "percentage": 14.21, "elapsed_time": "4:38:22", "remaining_time": "1 day, 4:00:30"}
28
+ {"current_steps": 280, "total_steps": 1900, "loss": 0.2473949670791626, "lr": 9.933310149690643e-06, "epoch": 0.29473684210526313, "percentage": 14.74, "elapsed_time": "4:48:39", "remaining_time": "1 day, 3:50:06"}
29
+ {"current_steps": 290, "total_steps": 1900, "loss": 0.253931450843811, "lr": 9.917525374361913e-06, "epoch": 0.30526315789473685, "percentage": 15.26, "elapsed_time": "4:58:54", "remaining_time": "1 day, 3:39:25"}
30
+ {"current_steps": 300, "total_steps": 1900, "loss": 0.24810972213745117, "lr": 9.90008085193264e-06, "epoch": 0.3157894736842105, "percentage": 15.79, "elapsed_time": "5:09:16", "remaining_time": "1 day, 3:29:26"}
31
+ {"current_steps": 310, "total_steps": 1900, "loss": 0.24793970584869385, "lr": 9.880982470221052e-06, "epoch": 0.3263157894736842, "percentage": 16.32, "elapsed_time": "5:19:38", "remaining_time": "1 day, 3:19:27"}
32
+ {"current_steps": 320, "total_steps": 1900, "loss": 0.2456535816192627, "lr": 9.860236675250553e-06, "epoch": 0.3368421052631579, "percentage": 16.84, "elapsed_time": "5:30:00", "remaining_time": "1 day, 3:09:23"}
33
+ {"current_steps": 330, "total_steps": 1900, "loss": 0.24865407943725587, "lr": 9.837850469074094e-06, "epoch": 0.3473684210526316, "percentage": 17.37, "elapsed_time": "5:40:23", "remaining_time": "1 day, 2:59:28"}
34
+ {"current_steps": 340, "total_steps": 1900, "loss": 0.24951438903808593, "lr": 9.813831407410856e-06, "epoch": 0.35789473684210527, "percentage": 17.89, "elapsed_time": "5:50:45", "remaining_time": "1 day, 2:49:21"}
35
+ {"current_steps": 350, "total_steps": 1900, "loss": 0.2451018810272217, "lr": 9.78818759709607e-06, "epoch": 0.3684210526315789, "percentage": 18.42, "elapsed_time": "6:01:02", "remaining_time": "1 day, 2:38:54"}
36
+ {"current_steps": 360, "total_steps": 1900, "loss": 0.2430849552154541, "lr": 9.760927693344823e-06, "epoch": 0.37894736842105264, "percentage": 18.95, "elapsed_time": "6:11:22", "remaining_time": "1 day, 2:28:38"}
37
+ {"current_steps": 370, "total_steps": 1900, "loss": 0.24643757343292236, "lr": 9.732060896830782e-06, "epoch": 0.3894736842105263, "percentage": 19.47, "elapsed_time": "6:21:35", "remaining_time": "1 day, 2:17:56"}
38
+ {"current_steps": 380, "total_steps": 1900, "loss": 0.24258551597595215, "lr": 9.701596950580807e-06, "epoch": 0.4, "percentage": 20.0, "elapsed_time": "6:32:05", "remaining_time": "1 day, 2:08:21"}
39
+ {"current_steps": 390, "total_steps": 1900, "loss": 0.24466416835784913, "lr": 9.669546136686524e-06, "epoch": 0.4105263157894737, "percentage": 20.53, "elapsed_time": "6:42:21", "remaining_time": "1 day, 1:57:49"}
40
+ {"current_steps": 400, "total_steps": 1900, "loss": 0.2395392656326294, "lr": 9.635919272833938e-06, "epoch": 0.42105263157894735, "percentage": 21.05, "elapsed_time": "6:52:38", "remaining_time": "1 day, 1:47:25"}
41
+ {"current_steps": 410, "total_steps": 1900, "loss": 0.2455674171447754, "lr": 9.60072770865229e-06, "epoch": 0.43157894736842106, "percentage": 21.58, "elapsed_time": "7:07:07", "remaining_time": "1 day, 1:52:12"}
42
+ {"current_steps": 420, "total_steps": 1900, "loss": 0.23904929161071778, "lr": 9.563983321883364e-06, "epoch": 0.4421052631578947, "percentage": 22.11, "elapsed_time": "7:17:18", "remaining_time": "1 day, 1:41:00"}
43
+ {"current_steps": 430, "total_steps": 1900, "loss": 0.2415750503540039, "lr": 9.525698514372552e-06, "epoch": 0.45263157894736844, "percentage": 22.63, "elapsed_time": "7:27:45", "remaining_time": "1 day, 1:30:42"}
44
+ {"current_steps": 440, "total_steps": 1900, "loss": 0.24164988994598388, "lr": 9.485886207883022e-06, "epoch": 0.4631578947368421, "percentage": 23.16, "elapsed_time": "7:38:05", "remaining_time": "1 day, 1:20:02"}
45
+ {"current_steps": 450, "total_steps": 1900, "loss": 0.23684978485107422, "lr": 9.444559839734409e-06, "epoch": 0.47368421052631576, "percentage": 23.68, "elapsed_time": "7:48:16", "remaining_time": "1 day, 1:08:53"}
46
+ {"current_steps": 460, "total_steps": 1900, "loss": 0.2425467014312744, "lr": 9.401733358267488e-06, "epoch": 0.4842105263157895, "percentage": 24.21, "elapsed_time": "7:58:35", "remaining_time": "1 day, 0:58:11"}
47
+ {"current_steps": 470, "total_steps": 1900, "loss": 0.24148106575012207, "lr": 9.357421218136387e-06, "epoch": 0.49473684210526314, "percentage": 24.74, "elapsed_time": "8:08:55", "remaining_time": "1 day, 0:47:34"}
48
+ {"current_steps": 480, "total_steps": 1900, "loss": 0.2403855800628662, "lr": 9.311638375429893e-06, "epoch": 0.5052631578947369, "percentage": 25.26, "elapsed_time": "8:19:14", "remaining_time": "1 day, 0:36:55"}
49
+ {"current_steps": 490, "total_steps": 1900, "loss": 0.23651041984558105, "lr": 9.264400282623516e-06, "epoch": 0.5157894736842106, "percentage": 25.79, "elapsed_time": "8:29:39", "remaining_time": "1 day, 0:26:33"}
50
+ {"current_steps": 500, "total_steps": 1900, "loss": 0.23911645412445068, "lr": 9.215722883364033e-06, "epoch": 0.5263157894736842, "percentage": 26.32, "elapsed_time": "8:40:00", "remaining_time": "1 day, 0:16:00"}
51
+ {"current_steps": 510, "total_steps": 1900, "loss": 0.23804664611816406, "lr": 9.16562260708823e-06, "epoch": 0.5368421052631579, "percentage": 26.84, "elapsed_time": "8:50:15", "remaining_time": "1 day, 0:05:14"}
52
+ {"current_steps": 520, "total_steps": 1900, "loss": 0.23622217178344726, "lr": 9.114116363477694e-06, "epoch": 0.5473684210526316, "percentage": 27.37, "elapsed_time": "9:00:27", "remaining_time": "23:54:18"}
53
+ {"current_steps": 530, "total_steps": 1900, "loss": 0.2335085391998291, "lr": 9.061221536751517e-06, "epoch": 0.5578947368421052, "percentage": 27.89, "elapsed_time": "9:10:47", "remaining_time": "23:43:44"}
54
+ {"current_steps": 540, "total_steps": 1900, "loss": 0.2344600200653076, "lr": 9.006955979798828e-06, "epoch": 0.5684210526315789, "percentage": 28.42, "elapsed_time": "9:21:00", "remaining_time": "23:32:55"}
55
+ {"current_steps": 550, "total_steps": 1900, "loss": 0.2334850549697876, "lr": 8.95133800815314e-06, "epoch": 0.5789473684210527, "percentage": 28.95, "elapsed_time": "9:31:19", "remaining_time": "23:22:20"}
56
+ {"current_steps": 560, "total_steps": 1900, "loss": 0.2322662353515625, "lr": 8.894386393810563e-06, "epoch": 0.5894736842105263, "percentage": 29.47, "elapsed_time": "9:41:37", "remaining_time": "23:11:44"}
57
+ {"current_steps": 570, "total_steps": 1900, "loss": 0.2351128101348877, "lr": 8.836120358893926e-06, "epoch": 0.6, "percentage": 30.0, "elapsed_time": "9:51:56", "remaining_time": "23:01:11"}
58
+ {"current_steps": 580, "total_steps": 1900, "loss": 0.23562440872192383, "lr": 8.776559569165001e-06, "epoch": 0.6105263157894737, "percentage": 30.53, "elapsed_time": "10:02:11", "remaining_time": "22:50:30"}
59
+ {"current_steps": 590, "total_steps": 1900, "loss": 0.23326187133789061, "lr": 8.715724127386971e-06, "epoch": 0.6210526315789474, "percentage": 31.05, "elapsed_time": "10:12:25", "remaining_time": "22:39:46"}
60
+ {"current_steps": 600, "total_steps": 1900, "loss": 0.2332840919494629, "lr": 8.653634566539421e-06, "epoch": 0.631578947368421, "percentage": 31.58, "elapsed_time": "10:22:42", "remaining_time": "22:29:11"}
61
+ {"current_steps": 610, "total_steps": 1900, "loss": 0.23210554122924804, "lr": 8.590311842888101e-06, "epoch": 0.6421052631578947, "percentage": 32.11, "elapsed_time": "10:33:00", "remaining_time": "22:18:39"}
62
+ {"current_steps": 620, "total_steps": 1900, "loss": 0.23671398162841797, "lr": 8.525777328911846e-06, "epoch": 0.6526315789473685, "percentage": 32.63, "elapsed_time": "10:43:23", "remaining_time": "22:08:18"}
63
+ {"current_steps": 630, "total_steps": 1900, "loss": 0.22931747436523436, "lr": 8.460052806089e-06, "epoch": 0.6631578947368421, "percentage": 33.16, "elapsed_time": "10:53:40", "remaining_time": "21:57:42"}
64
+ {"current_steps": 640, "total_steps": 1900, "loss": 0.23210363388061522, "lr": 8.39316045754581e-06, "epoch": 0.6736842105263158, "percentage": 33.68, "elapsed_time": "11:03:59", "remaining_time": "21:47:14"}
65
+ {"current_steps": 650, "total_steps": 1900, "loss": 0.23148860931396484, "lr": 8.325122860569241e-06, "epoch": 0.6842105263157895, "percentage": 34.21, "elapsed_time": "11:14:21", "remaining_time": "21:36:49"}
66
+ {"current_steps": 660, "total_steps": 1900, "loss": 0.23530981540679932, "lr": 8.255962978986772e-06, "epoch": 0.6947368421052632, "percentage": 34.74, "elapsed_time": "11:24:39", "remaining_time": "21:26:18"}
67
+ {"current_steps": 670, "total_steps": 1900, "loss": 0.2317359209060669, "lr": 8.18570415541571e-06, "epoch": 0.7052631578947368, "percentage": 35.26, "elapsed_time": "11:35:05", "remaining_time": "21:16:04"}
68
+ {"current_steps": 680, "total_steps": 1900, "loss": 0.23137691020965576, "lr": 8.11437010338468e-06, "epoch": 0.7157894736842105, "percentage": 35.79, "elapsed_time": "11:45:19", "remaining_time": "21:05:25"}
69
+ {"current_steps": 690, "total_steps": 1900, "loss": 0.23447022438049317, "lr": 8.041984899329898e-06, "epoch": 0.7263157894736842, "percentage": 36.32, "elapsed_time": "11:55:35", "remaining_time": "20:54:52"}
70
+ {"current_steps": 700, "total_steps": 1900, "loss": 0.23113114833831788, "lr": 7.968572974468982e-06, "epoch": 0.7368421052631579, "percentage": 36.84, "elapsed_time": "12:05:50", "remaining_time": "20:44:18"}
71
+ {"current_steps": 710, "total_steps": 1900, "loss": 0.2257591724395752, "lr": 7.894159106554997e-06, "epoch": 0.7473684210526316, "percentage": 37.37, "elapsed_time": "12:16:13", "remaining_time": "20:33:58"}
72
+ {"current_steps": 720, "total_steps": 1900, "loss": 0.22820115089416504, "lr": 7.81876841151356e-06, "epoch": 0.7578947368421053, "percentage": 37.89, "elapsed_time": "12:26:37", "remaining_time": "20:23:37"}
73
+ {"current_steps": 730, "total_steps": 1900, "loss": 0.22522048950195311, "lr": 7.742426334965788e-06, "epoch": 0.7684210526315789, "percentage": 38.42, "elapsed_time": "12:36:57", "remaining_time": "20:13:12"}
74
+ {"current_steps": 740, "total_steps": 1900, "loss": 0.22865695953369142, "lr": 7.66515864363997e-06, "epoch": 0.7789473684210526, "percentage": 38.95, "elapsed_time": "12:47:11", "remaining_time": "20:02:37"}
75
+ {"current_steps": 750, "total_steps": 1900, "loss": 0.23268895149230956, "lr": 7.58699141667488e-06, "epoch": 0.7894736842105263, "percentage": 39.47, "elapsed_time": "12:57:35", "remaining_time": "19:52:18"}
76
+ {"current_steps": 760, "total_steps": 1900, "loss": 0.22948784828186036, "lr": 7.507951036817618e-06, "epoch": 0.8, "percentage": 40.0, "elapsed_time": "13:07:58", "remaining_time": "19:41:57"}
77
+ {"current_steps": 770, "total_steps": 1900, "loss": 0.23147838115692138, "lr": 7.428064181518997e-06, "epoch": 0.8105263157894737, "percentage": 40.53, "elapsed_time": "13:18:25", "remaining_time": "19:31:42"}
78
+ {"current_steps": 780, "total_steps": 1900, "loss": 0.22798795700073243, "lr": 7.347357813929455e-06, "epoch": 0.8210526315789474, "percentage": 41.05, "elapsed_time": "13:28:46", "remaining_time": "19:21:19"}
79
+ {"current_steps": 790, "total_steps": 1900, "loss": 0.22906970977783203, "lr": 7.2658591737985405e-06, "epoch": 0.8315789473684211, "percentage": 41.58, "elapsed_time": "13:39:04", "remaining_time": "19:10:50"}
80
+ {"current_steps": 800, "total_steps": 1900, "loss": 0.22639477252960205, "lr": 7.183595768281044e-06, "epoch": 0.8421052631578947, "percentage": 42.11, "elapsed_time": "13:49:27", "remaining_time": "19:00:30"}
81
+ {"current_steps": 810, "total_steps": 1900, "loss": 0.22935261726379394, "lr": 7.100595362652872e-06, "epoch": 0.8526315789473684, "percentage": 42.63, "elapsed_time": "14:04:27", "remaining_time": "18:56:22"}
82
+ {"current_steps": 820, "total_steps": 1900, "loss": 0.22815964221954346, "lr": 7.016885970939798e-06, "epoch": 0.8631578947368421, "percentage": 43.16, "elapsed_time": "14:14:41", "remaining_time": "18:45:41"}
83
+ {"current_steps": 830, "total_steps": 1900, "loss": 0.22594799995422363, "lr": 6.932495846462262e-06, "epoch": 0.8736842105263158, "percentage": 43.68, "elapsed_time": "14:25:07", "remaining_time": "18:35:17"}
84
+ {"current_steps": 840, "total_steps": 1900, "loss": 0.22986969947814942, "lr": 6.847453472299408e-06, "epoch": 0.8842105263157894, "percentage": 44.21, "elapsed_time": "14:35:24", "remaining_time": "18:24:40"}
85
+ {"current_steps": 850, "total_steps": 1900, "loss": 0.22606315612792968, "lr": 6.761787551675559e-06, "epoch": 0.8947368421052632, "percentage": 44.74, "elapsed_time": "14:45:40", "remaining_time": "18:14:04"}
86
+ {"current_steps": 860, "total_steps": 1900, "loss": 0.22781219482421874, "lr": 6.675526998272405e-06, "epoch": 0.9052631578947369, "percentage": 45.26, "elapsed_time": "14:56:06", "remaining_time": "18:03:39"}
87
+ {"current_steps": 870, "total_steps": 1900, "loss": 0.2311699867248535, "lr": 6.588700926470145e-06, "epoch": 0.9157894736842105, "percentage": 45.79, "elapsed_time": "15:06:24", "remaining_time": "17:53:06"}
88
+ {"current_steps": 880, "total_steps": 1900, "loss": 0.22211828231811523, "lr": 6.501338641520906e-06, "epoch": 0.9263157894736842, "percentage": 46.32, "elapsed_time": "15:16:49", "remaining_time": "17:42:40"}
89
+ {"current_steps": 890, "total_steps": 1900, "loss": 0.2278078317642212, "lr": 6.413469629657724e-06, "epoch": 0.9368421052631579, "percentage": 46.84, "elapsed_time": "15:27:11", "remaining_time": "17:32:11"}
90
+ {"current_steps": 900, "total_steps": 1900, "loss": 0.2261662483215332, "lr": 6.325123548142442e-06, "epoch": 0.9473684210526315, "percentage": 47.37, "elapsed_time": "15:37:24", "remaining_time": "17:21:34"}
91
+ {"current_steps": 910, "total_steps": 1900, "loss": 0.2212979316711426, "lr": 6.2363302152559004e-06, "epoch": 0.9578947368421052, "percentage": 47.89, "elapsed_time": "15:47:37", "remaining_time": "17:10:56"}
92
+ {"current_steps": 920, "total_steps": 1900, "loss": 0.22573590278625488, "lr": 6.147119600233758e-06, "epoch": 0.968421052631579, "percentage": 48.42, "elapsed_time": "15:57:55", "remaining_time": "17:00:24"}
93
+ {"current_steps": 930, "total_steps": 1900, "loss": 0.22593274116516113, "lr": 6.0575218131513795e-06, "epoch": 0.9789473684210527, "percentage": 48.95, "elapsed_time": "16:08:15", "remaining_time": "16:49:54"}
94
+ {"current_steps": 940, "total_steps": 1900, "loss": 0.2244725227355957, "lr": 5.967567094761173e-06, "epoch": 0.9894736842105263, "percentage": 49.47, "elapsed_time": "16:18:33", "remaining_time": "16:39:23"}
95
+ {"current_steps": 950, "total_steps": 1900, "loss": 0.21960890293121338, "lr": 5.8772858062858414e-06, "epoch": 1.0, "percentage": 50.0, "elapsed_time": "16:28:50", "remaining_time": "16:28:50"}
96
+ {"current_steps": 960, "total_steps": 1900, "loss": 0.20080842971801757, "lr": 5.786708419170955e-06, "epoch": 1.0105263157894737, "percentage": 50.53, "elapsed_time": "16:39:10", "remaining_time": "16:18:21"}
97
+ {"current_steps": 970, "total_steps": 1900, "loss": 0.19827678203582763, "lr": 5.695865504800328e-06, "epoch": 1.0210526315789474, "percentage": 51.05, "elapsed_time": "16:49:25", "remaining_time": "16:07:48"}
98
+ {"current_steps": 980, "total_steps": 1900, "loss": 0.19904773235321044, "lr": 5.604787724177666e-06, "epoch": 1.0315789473684212, "percentage": 51.58, "elapsed_time": "16:59:48", "remaining_time": "15:57:21"}
99
+ {"current_steps": 990, "total_steps": 1900, "loss": 0.19755897521972657, "lr": 5.513505817577966e-06, "epoch": 1.0421052631578946, "percentage": 52.11, "elapsed_time": "17:10:17", "remaining_time": "15:47:02"}
100
+ {"current_steps": 1000, "total_steps": 1900, "loss": 0.19692963361740112, "lr": 5.422050594172161e-06, "epoch": 1.0526315789473684, "percentage": 52.63, "elapsed_time": "17:20:36", "remaining_time": "15:36:33"}
101
+ {"current_steps": 1010, "total_steps": 1900, "loss": 0.19321495294570923, "lr": 5.3304529216284974e-06, "epoch": 1.063157894736842, "percentage": 53.16, "elapsed_time": "17:30:49", "remaining_time": "15:25:58"}
102
+ {"current_steps": 1020, "total_steps": 1900, "loss": 0.194428014755249, "lr": 5.2387437156942e-06, "epoch": 1.0736842105263158, "percentage": 53.68, "elapsed_time": "17:41:13", "remaining_time": "15:15:34"}
103
+ {"current_steps": 1030, "total_steps": 1900, "loss": 0.1979002833366394, "lr": 5.146953929760873e-06, "epoch": 1.0842105263157895, "percentage": 54.21, "elapsed_time": "17:51:31", "remaining_time": "15:05:04"}
104
+ {"current_steps": 1040, "total_steps": 1900, "loss": 0.19375243186950683, "lr": 5.055114544417219e-06, "epoch": 1.0947368421052632, "percentage": 54.74, "elapsed_time": "18:01:54", "remaining_time": "14:54:39"}
105
+ {"current_steps": 1050, "total_steps": 1900, "loss": 0.19927580356597902, "lr": 4.963256556992573e-06, "epoch": 1.1052631578947367, "percentage": 55.26, "elapsed_time": "18:12:14", "remaining_time": "14:44:12"}
106
+ {"current_steps": 1060, "total_steps": 1900, "loss": 0.19494152069091797, "lr": 4.871410971094783e-06, "epoch": 1.1157894736842104, "percentage": 55.79, "elapsed_time": "18:22:33", "remaining_time": "14:33:43"}
107
+ {"current_steps": 1070, "total_steps": 1900, "loss": 0.19628028869628905, "lr": 4.779608786145974e-06, "epoch": 1.1263157894736842, "percentage": 56.32, "elapsed_time": "18:32:56", "remaining_time": "14:23:18"}
108
+ {"current_steps": 1080, "total_steps": 1900, "loss": 0.19705599546432495, "lr": 4.687880986919725e-06, "epoch": 1.1368421052631579, "percentage": 56.84, "elapsed_time": "18:43:10", "remaining_time": "14:12:46"}
109
+ {"current_steps": 1090, "total_steps": 1900, "loss": 0.19771865606307984, "lr": 4.596258533083189e-06, "epoch": 1.1473684210526316, "percentage": 57.37, "elapsed_time": "18:53:25", "remaining_time": "14:02:15"}
110
+ {"current_steps": 1100, "total_steps": 1900, "loss": 0.19638514518737793, "lr": 4.504772348747687e-06, "epoch": 1.1578947368421053, "percentage": 57.89, "elapsed_time": "19:03:47", "remaining_time": "13:51:50"}
111
+ {"current_steps": 1110, "total_steps": 1900, "loss": 0.19807765483856202, "lr": 4.4134533120313015e-06, "epoch": 1.168421052631579, "percentage": 58.42, "elapsed_time": "19:14:09", "remaining_time": "13:41:25"}
112
+ {"current_steps": 1120, "total_steps": 1900, "loss": 0.1977887749671936, "lr": 4.322332244637e-06, "epoch": 1.1789473684210527, "percentage": 58.95, "elapsed_time": "19:24:21", "remaining_time": "13:30:53"}
113
+ {"current_steps": 1130, "total_steps": 1900, "loss": 0.19492437839508056, "lr": 4.231439901449788e-06, "epoch": 1.1894736842105262, "percentage": 59.47, "elapsed_time": "19:34:34", "remaining_time": "13:20:22"}
114
+ {"current_steps": 1140, "total_steps": 1900, "loss": 0.1960810422897339, "lr": 4.140806960156426e-06, "epoch": 1.2, "percentage": 60.0, "elapsed_time": "19:44:47", "remaining_time": "13:09:51"}
115
+ {"current_steps": 1150, "total_steps": 1900, "loss": 0.19544320106506347, "lr": 4.050464010891191e-06, "epoch": 1.2105263157894737, "percentage": 60.53, "elapsed_time": "19:55:05", "remaining_time": "12:59:24"}
116
+ {"current_steps": 1160, "total_steps": 1900, "loss": 0.1957876443862915, "lr": 3.960441545911205e-06, "epoch": 1.2210526315789474, "percentage": 61.05, "elapsed_time": "20:05:33", "remaining_time": "12:49:04"}
117
+ {"current_steps": 1170, "total_steps": 1900, "loss": 0.1965243101119995, "lr": 3.870769949304771e-06, "epoch": 1.231578947368421, "percentage": 61.58, "elapsed_time": "20:15:51", "remaining_time": "12:38:36"}
118
+ {"current_steps": 1180, "total_steps": 1900, "loss": 0.19517325162887572, "lr": 3.7814794867362563e-06, "epoch": 1.2421052631578948, "percentage": 62.11, "elapsed_time": "20:26:10", "remaining_time": "12:28:10"}
119
+ {"current_steps": 1190, "total_steps": 1900, "loss": 0.19646933078765869, "lr": 3.6926002952309015e-06, "epoch": 1.2526315789473683, "percentage": 62.63, "elapsed_time": "20:36:23", "remaining_time": "12:17:40"}
120
+ {"current_steps": 1200, "total_steps": 1900, "loss": 0.19446859359741211, "lr": 3.6041623730030908e-06, "epoch": 1.263157894736842, "percentage": 63.16, "elapsed_time": "20:46:39", "remaining_time": "12:07:13"}
121
+ {"current_steps": 1210, "total_steps": 1900, "loss": 0.19366879463195802, "lr": 3.5161955693314353e-06, "epoch": 1.2736842105263158, "percentage": 63.68, "elapsed_time": "21:01:47", "remaining_time": "11:59:31"}
122
+ {"current_steps": 1220, "total_steps": 1900, "loss": 0.1941930890083313, "lr": 3.4287295744841588e-06, "epoch": 1.2842105263157895, "percentage": 64.21, "elapsed_time": "21:12:09", "remaining_time": "11:49:04"}
123
+ {"current_steps": 1230, "total_steps": 1900, "loss": 0.1977081298828125, "lr": 3.3417939096981154e-06, "epoch": 1.2947368421052632, "percentage": 64.74, "elapsed_time": "21:22:24", "remaining_time": "11:38:32"}
124
+ {"current_steps": 1240, "total_steps": 1900, "loss": 0.19555530548095704, "lr": 3.2554179172149027e-06, "epoch": 1.305263157894737, "percentage": 65.26, "elapsed_time": "21:32:40", "remaining_time": "11:28:02"}
125
+ {"current_steps": 1250, "total_steps": 1900, "loss": 0.19574146270751952, "lr": 3.169630750377337e-06, "epoch": 1.3157894736842106, "percentage": 65.79, "elapsed_time": "21:43:03", "remaining_time": "11:17:35"}
126
+ {"current_steps": 1260, "total_steps": 1900, "loss": 0.19112685918807984, "lr": 3.084461363789739e-06, "epoch": 1.3263157894736843, "percentage": 66.32, "elapsed_time": "21:53:17", "remaining_time": "11:07:03"}
127
+ {"current_steps": 1270, "total_steps": 1900, "loss": 0.19243521690368653, "lr": 2.9999385035452477e-06, "epoch": 1.3368421052631578, "percentage": 66.84, "elapsed_time": "22:03:48", "remaining_time": "10:56:41"}
128
+ {"current_steps": 1280, "total_steps": 1900, "loss": 0.19451719522476196, "lr": 2.9160906975235493e-06, "epoch": 1.3473684210526315, "percentage": 67.37, "elapsed_time": "22:14:04", "remaining_time": "10:46:11"}
129
+ {"current_steps": 1290, "total_steps": 1900, "loss": 0.1940847158432007, "lr": 2.8329462457622263e-06, "epoch": 1.3578947368421053, "percentage": 67.89, "elapsed_time": "22:24:20", "remaining_time": "10:35:41"}
130
+ {"current_steps": 1300, "total_steps": 1900, "loss": 0.19349358081817628, "lr": 2.750533210905042e-06, "epoch": 1.368421052631579, "percentage": 68.42, "elapsed_time": "22:34:39", "remaining_time": "10:25:13"}
131
+ {"current_steps": 1310, "total_steps": 1900, "loss": 0.19271211624145507, "lr": 2.6688794087302993e-06, "epoch": 1.3789473684210527, "percentage": 68.95, "elapsed_time": "22:44:59", "remaining_time": "10:14:46"}
132
+ {"current_steps": 1320, "total_steps": 1900, "loss": 0.19864912033081056, "lr": 2.588012398762578e-06, "epoch": 1.3894736842105262, "percentage": 69.47, "elapsed_time": "22:55:18", "remaining_time": "10:04:18"}
133
+ {"current_steps": 1330, "total_steps": 1900, "loss": 0.19355106353759766, "lr": 2.507959474970918e-06, "epoch": 1.4, "percentage": 70.0, "elapsed_time": "23:05:40", "remaining_time": "9:53:51"}
134
+ {"current_steps": 1340, "total_steps": 1900, "loss": 0.1974609375, "lr": 2.4287476565566525e-06, "epoch": 1.4105263157894736, "percentage": 70.53, "elapsed_time": "23:15:56", "remaining_time": "9:43:22"}
135
+ {"current_steps": 1350, "total_steps": 1900, "loss": 0.19361681938171388, "lr": 2.3504036788339763e-06, "epoch": 1.4210526315789473, "percentage": 71.05, "elapsed_time": "23:26:18", "remaining_time": "9:32:56"}
136
+ {"current_steps": 1360, "total_steps": 1900, "loss": 0.19068057537078859, "lr": 2.2729539842063275e-06, "epoch": 1.431578947368421, "percentage": 71.58, "elapsed_time": "23:36:31", "remaining_time": "9:22:26"}
137
+ {"current_steps": 1370, "total_steps": 1900, "loss": 0.19165360927581787, "lr": 2.1964247132416373e-06, "epoch": 1.4421052631578948, "percentage": 72.11, "elapsed_time": "23:46:51", "remaining_time": "9:11:59"}
138
+ {"current_steps": 1380, "total_steps": 1900, "loss": 0.1914669394493103, "lr": 2.1208416958494472e-06, "epoch": 1.4526315789473685, "percentage": 72.63, "elapsed_time": "23:57:17", "remaining_time": "9:01:35"}
139
+ {"current_steps": 1390, "total_steps": 1900, "loss": 0.19094971418380738, "lr": 2.0462304425628836e-06, "epoch": 1.4631578947368422, "percentage": 73.16, "elapsed_time": "1 day, 0:07:34", "remaining_time": "8:51:07"}
140
+ {"current_steps": 1400, "total_steps": 1900, "loss": 0.19408802986145018, "lr": 1.9726161359284283e-06, "epoch": 1.4736842105263157, "percentage": 73.68, "elapsed_time": "1 day, 0:17:51", "remaining_time": "8:40:39"}
141
+ {"current_steps": 1410, "total_steps": 1900, "loss": 0.19336466789245604, "lr": 1.900023622006385e-06, "epoch": 1.4842105263157894, "percentage": 74.21, "elapsed_time": "1 day, 0:28:08", "remaining_time": "8:30:12"}
142
+ {"current_steps": 1420, "total_steps": 1900, "loss": 0.19300740957260132, "lr": 1.8284774019849176e-06, "epoch": 1.4947368421052631, "percentage": 74.74, "elapsed_time": "1 day, 0:38:20", "remaining_time": "8:19:43"}
143
+ {"current_steps": 1430, "total_steps": 1900, "loss": 0.19296154975891114, "lr": 1.7580016239104924e-06, "epoch": 1.5052631578947369, "percentage": 75.26, "elapsed_time": "1 day, 0:48:36", "remaining_time": "8:09:15"}
144
+ {"current_steps": 1440, "total_steps": 1900, "loss": 0.1929314136505127, "lr": 1.688620074537506e-06, "epoch": 1.5157894736842106, "percentage": 75.79, "elapsed_time": "1 day, 0:59:00", "remaining_time": "7:58:50"}
145
+ {"current_steps": 1450, "total_steps": 1900, "loss": 0.1906610369682312, "lr": 1.6203561712998561e-06, "epoch": 1.526315789473684, "percentage": 76.32, "elapsed_time": "1 day, 1:09:21", "remaining_time": "7:48:25"}
146
+ {"current_steps": 1460, "total_steps": 1900, "loss": 0.19095816612243652, "lr": 1.5532329544071712e-06, "epoch": 1.5368421052631578, "percentage": 76.84, "elapsed_time": "1 day, 1:19:40", "remaining_time": "7:37:59"}
147
+ {"current_steps": 1470, "total_steps": 1900, "loss": 0.18936022520065307, "lr": 1.4872730790683488e-06, "epoch": 1.5473684210526315, "percentage": 77.37, "elapsed_time": "1 day, 1:29:59", "remaining_time": "7:27:32"}
148
+ {"current_steps": 1480, "total_steps": 1900, "loss": 0.1960120677947998, "lr": 1.4224988078450453e-06, "epoch": 1.5578947368421052, "percentage": 77.89, "elapsed_time": "1 day, 1:40:17", "remaining_time": "7:17:06"}
149
+ {"current_steps": 1490, "total_steps": 1900, "loss": 0.19057438373565674, "lr": 1.35893200313769e-06, "epoch": 1.568421052631579, "percentage": 78.42, "elapsed_time": "1 day, 1:50:41", "remaining_time": "7:06:41"}
150
+ {"current_steps": 1500, "total_steps": 1900, "loss": 0.19361931085586548, "lr": 1.2965941198065568e-06, "epoch": 1.5789473684210527, "percentage": 78.95, "elapsed_time": "1 day, 2:01:07", "remaining_time": "6:56:17"}
151
+ {"current_steps": 1510, "total_steps": 1900, "loss": 0.19579588174819945, "lr": 1.2355061979303922e-06, "epoch": 1.5894736842105264, "percentage": 79.47, "elapsed_time": "1 day, 2:11:27", "remaining_time": "6:45:52"}
152
+ {"current_steps": 1520, "total_steps": 1900, "loss": 0.19346574544906617, "lr": 1.1756888557050356e-06, "epoch": 1.6, "percentage": 80.0, "elapsed_time": "1 day, 2:21:47", "remaining_time": "6:35:26"}
153
+ {"current_steps": 1530, "total_steps": 1900, "loss": 0.19312095642089844, "lr": 1.1171622824844324e-06, "epoch": 1.6105263157894738, "percentage": 80.53, "elapsed_time": "1 day, 2:32:06", "remaining_time": "6:25:01"}
154
+ {"current_steps": 1540, "total_steps": 1900, "loss": 0.1921621322631836, "lr": 1.0599462319663906e-06, "epoch": 1.6210526315789475, "percentage": 81.05, "elapsed_time": "1 day, 2:42:28", "remaining_time": "6:14:36"}
155
+ {"current_steps": 1550, "total_steps": 1900, "loss": 0.19026801586151124, "lr": 1.0040600155253766e-06, "epoch": 1.631578947368421, "percentage": 81.58, "elapsed_time": "1 day, 2:52:54", "remaining_time": "6:04:12"}
156
+ {"current_steps": 1560, "total_steps": 1900, "loss": 0.1914633870124817, "lr": 9.495224956946031e-07, "epoch": 1.6421052631578947, "percentage": 82.11, "elapsed_time": "1 day, 3:03:08", "remaining_time": "5:53:45"}
157
+ {"current_steps": 1570, "total_steps": 1900, "loss": 0.194749915599823, "lr": 8.963520797996078e-07, "epoch": 1.6526315789473685, "percentage": 82.63, "elapsed_time": "1 day, 3:13:27", "remaining_time": "5:43:20"}
158
+ {"current_steps": 1580, "total_steps": 1900, "loss": 0.19352084398269653, "lr": 8.44566713745476e-07, "epoch": 1.663157894736842, "percentage": 83.16, "elapsed_time": "1 day, 3:23:51", "remaining_time": "5:32:55"}
159
+ {"current_steps": 1590, "total_steps": 1900, "loss": 0.19102840423583983, "lr": 7.941838759597931e-07, "epoch": 1.6736842105263157, "percentage": 83.68, "elapsed_time": "1 day, 3:34:09", "remaining_time": "5:22:30"}
160
+ {"current_steps": 1600, "total_steps": 1900, "loss": 0.18865236043930053, "lr": 7.452205714933864e-07, "epoch": 1.6842105263157894, "percentage": 84.21, "elapsed_time": "1 day, 3:44:28", "remaining_time": "5:12:05"}
161
+ {"current_steps": 1610, "total_steps": 1900, "loss": 0.18964484930038453, "lr": 6.976933262808322e-07, "epoch": 1.694736842105263, "percentage": 84.74, "elapsed_time": "1 day, 3:59:31", "remaining_time": "5:02:31"}
162
+ {"current_steps": 1620, "total_steps": 1900, "loss": 0.19139573574066163, "lr": 6.516181815626809e-07, "epoch": 1.7052631578947368, "percentage": 85.26, "elapsed_time": "1 day, 4:09:49", "remaining_time": "4:52:04"}
163
+ {"current_steps": 1630, "total_steps": 1900, "loss": 0.19114992618560792, "lr": 6.070106884712668e-07, "epoch": 1.7157894736842105, "percentage": 85.79, "elapsed_time": "1 day, 4:20:13", "remaining_time": "4:41:37"}
164
+ {"current_steps": 1640, "total_steps": 1900, "loss": 0.19300049543380737, "lr": 5.63885902781941e-07, "epoch": 1.7263157894736842, "percentage": 86.32, "elapsed_time": "1 day, 4:30:27", "remaining_time": "4:31:10"}
165
+ {"current_steps": 1650, "total_steps": 1900, "loss": 0.18835369348526002, "lr": 5.222583798314962e-07, "epoch": 1.736842105263158, "percentage": 86.84, "elapsed_time": "1 day, 4:40:44", "remaining_time": "4:20:43"}
166
+ {"current_steps": 1660, "total_steps": 1900, "loss": 0.18905959129333497, "lr": 4.821421696054957e-07, "epoch": 1.7473684210526317, "percentage": 87.37, "elapsed_time": "1 day, 4:51:02", "remaining_time": "4:10:16"}
167
+ {"current_steps": 1670, "total_steps": 1900, "loss": 0.19171972274780275, "lr": 4.435508119961701e-07, "epoch": 1.7578947368421054, "percentage": 87.89, "elapsed_time": "1 day, 5:01:21", "remaining_time": "3:59:49"}
168
+ {"current_steps": 1680, "total_steps": 1900, "loss": 0.19223358631134033, "lr": 4.06497332232475e-07, "epoch": 1.768421052631579, "percentage": 88.42, "elapsed_time": "1 day, 5:11:36", "remaining_time": "3:49:22"}
169
+ {"current_steps": 1690, "total_steps": 1900, "loss": 0.19200823307037354, "lr": 3.709942364838598e-07, "epoch": 1.7789473684210526, "percentage": 88.95, "elapsed_time": "1 day, 5:21:51", "remaining_time": "3:38:55"}
170
+ {"current_steps": 1700, "total_steps": 1900, "loss": 0.19032894372940062, "lr": 3.370535076392256e-07, "epoch": 1.7894736842105263, "percentage": 89.47, "elapsed_time": "1 day, 5:32:10", "remaining_time": "3:28:29"}
171
+ {"current_steps": 1710, "total_steps": 1900, "loss": 0.1908974289894104, "lr": 3.046866012624999e-07, "epoch": 1.8, "percentage": 90.0, "elapsed_time": "1 day, 5:42:36", "remaining_time": "3:18:04"}
172
+ {"current_steps": 1720, "total_steps": 1900, "loss": 0.1913193106651306, "lr": 2.73904441726191e-07, "epoch": 1.8105263157894735, "percentage": 90.53, "elapsed_time": "1 day, 5:52:52", "remaining_time": "3:07:37"}
173
+ {"current_steps": 1730, "total_steps": 1900, "loss": 0.19021756649017335, "lr": 2.447174185242324e-07, "epoch": 1.8210526315789473, "percentage": 91.05, "elapsed_time": "1 day, 6:03:09", "remaining_time": "2:57:11"}
174
+ {"current_steps": 1740, "total_steps": 1900, "loss": 0.19478182792663573, "lr": 2.1713538276535052e-07, "epoch": 1.831578947368421, "percentage": 91.58, "elapsed_time": "1 day, 6:13:28", "remaining_time": "2:46:45"}
175
+ {"current_steps": 1750, "total_steps": 1900, "loss": 0.18993787765502929, "lr": 1.9116764384815467e-07, "epoch": 1.8421052631578947, "percentage": 92.11, "elapsed_time": "1 day, 6:23:42", "remaining_time": "2:36:19"}
176
+ {"current_steps": 1760, "total_steps": 1900, "loss": 0.19059154987335206, "lr": 1.6682296631905626e-07, "epoch": 1.8526315789473684, "percentage": 92.63, "elapsed_time": "1 day, 6:33:58", "remaining_time": "2:25:53"}
177
+ {"current_steps": 1770, "total_steps": 1900, "loss": 0.19143071174621581, "lr": 1.441095669140896e-07, "epoch": 1.8631578947368421, "percentage": 93.16, "elapsed_time": "1 day, 6:44:21", "remaining_time": "2:15:27"}
178
+ {"current_steps": 1780, "total_steps": 1900, "loss": 0.1924317717552185, "lr": 1.2303511178562544e-07, "epoch": 1.8736842105263158, "percentage": 93.68, "elapsed_time": "1 day, 6:54:39", "remaining_time": "2:05:01"}
179
+ {"current_steps": 1790, "total_steps": 1900, "loss": 0.19013935327529907, "lr": 1.0360671391491606e-07, "epoch": 1.8842105263157896, "percentage": 94.21, "elapsed_time": "1 day, 7:04:54", "remaining_time": "1:54:36"}
180
+ {"current_steps": 1800, "total_steps": 1900, "loss": 0.19048439264297484, "lr": 8.583093071134473e-08, "epoch": 1.8947368421052633, "percentage": 94.74, "elapsed_time": "1 day, 7:15:08", "remaining_time": "1:44:10"}
181
+ {"current_steps": 1810, "total_steps": 1900, "loss": 0.1912379264831543, "lr": 6.971376179919109e-08, "epoch": 1.905263157894737, "percentage": 95.26, "elapsed_time": "1 day, 7:25:23", "remaining_time": "1:33:44"}
182
+ {"current_steps": 1820, "total_steps": 1900, "loss": 0.1933832049369812, "lr": 5.526064699265754e-08, "epoch": 1.9157894736842105, "percentage": 95.79, "elapsed_time": "1 day, 7:35:41", "remaining_time": "1:23:19"}
183
+ {"current_steps": 1830, "total_steps": 1900, "loss": 0.18934450149536133, "lr": 4.247646445984077e-08, "epoch": 1.9263157894736842, "percentage": 96.32, "elapsed_time": "1 day, 7:46:05", "remaining_time": "1:12:54"}
184
+ {"current_steps": 1840, "total_steps": 1900, "loss": 0.19112942218780518, "lr": 3.136552907626711e-08, "epoch": 1.936842105263158, "percentage": 96.84, "elapsed_time": "1 day, 7:56:21", "remaining_time": "1:02:29"}
185
+ {"current_steps": 1850, "total_steps": 1900, "loss": 0.1910516858100891, "lr": 2.193159096855191e-08, "epoch": 1.9473684210526314, "percentage": 97.37, "elapsed_time": "1 day, 8:06:36", "remaining_time": "0:52:04"}
186
+ {"current_steps": 1860, "total_steps": 1900, "loss": 0.18861913681030273, "lr": 1.4177834248668144e-08, "epoch": 1.9578947368421051, "percentage": 97.89, "elapsed_time": "1 day, 8:16:54", "remaining_time": "0:41:39"}
187
+ {"current_steps": 1870, "total_steps": 1900, "loss": 0.18934390544891358, "lr": 8.106875939254966e-09, "epoch": 1.9684210526315788, "percentage": 98.42, "elapsed_time": "1 day, 8:27:11", "remaining_time": "0:31:14"}
188
+ {"current_steps": 1880, "total_steps": 1900, "loss": 0.188625967502594, "lr": 3.7207650903298143e-09, "epoch": 1.9789473684210526, "percentage": 98.95, "elapsed_time": "1 day, 8:37:36", "remaining_time": "0:20:49"}
189
+ {"current_steps": 1890, "total_steps": 1900, "loss": 0.19255759716033935, "lr": 1.0209820876977416e-09, "epoch": 1.9894736842105263, "percentage": 99.47, "elapsed_time": "1 day, 8:47:56", "remaining_time": "0:10:24"}
190
+ {"current_steps": 1900, "total_steps": 1900, "loss": 0.19022877216339112, "lr": 8.438153299428209e-12, "epoch": 2.0, "percentage": 100.0, "elapsed_time": "1 day, 8:58:18", "remaining_time": "0:00:00"}
191
+ {"current_steps": 1900, "total_steps": 1900, "epoch": 2.0, "percentage": 100.0, "elapsed_time": "1 day, 9:03:03", "remaining_time": "0:00:00"}
designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/trainer_state.json ADDED
@@ -0,0 +1,1373 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.0,
6
+ "eval_steps": 500,
7
+ "global_step": 1900,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.010526315789473684,
14
+ "grad_norm": 1.710490990247411,
15
+ "learning_rate": 4.7368421052631585e-07,
16
+ "loss": 0.4388035774230957,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.021052631578947368,
21
+ "grad_norm": 0.8021606563513528,
22
+ "learning_rate": 1.0000000000000002e-06,
23
+ "loss": 0.41839752197265623,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.031578947368421054,
28
+ "grad_norm": 0.6501803445694154,
29
+ "learning_rate": 1.5263157894736844e-06,
30
+ "loss": 0.38866329193115234,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.042105263157894736,
35
+ "grad_norm": 0.6718381423889515,
36
+ "learning_rate": 2.0526315789473687e-06,
37
+ "loss": 0.34850707054138186,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.05263157894736842,
42
+ "grad_norm": 1.285821795690835,
43
+ "learning_rate": 2.578947368421053e-06,
44
+ "loss": 0.33446664810180665,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.06315789473684211,
49
+ "grad_norm": 0.5321344084416809,
50
+ "learning_rate": 3.1052631578947372e-06,
51
+ "loss": 0.3249298095703125,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.07368421052631578,
56
+ "grad_norm": 0.5587300624552297,
57
+ "learning_rate": 3.6315789473684217e-06,
58
+ "loss": 0.3074101686477661,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.08421052631578947,
63
+ "grad_norm": 0.42681910818816404,
64
+ "learning_rate": 4.157894736842106e-06,
65
+ "loss": 0.2968882083892822,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.09473684210526316,
70
+ "grad_norm": 0.38147095088929206,
71
+ "learning_rate": 4.68421052631579e-06,
72
+ "loss": 0.29561786651611327,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.10526315789473684,
77
+ "grad_norm": 0.5935539863569148,
78
+ "learning_rate": 5.210526315789474e-06,
79
+ "loss": 0.2849203824996948,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.11578947368421053,
84
+ "grad_norm": 0.4625262132546701,
85
+ "learning_rate": 5.736842105263158e-06,
86
+ "loss": 0.2833810091018677,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.12631578947368421,
91
+ "grad_norm": 0.47245859695782705,
92
+ "learning_rate": 6.263157894736842e-06,
93
+ "loss": 0.27774202823638916,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.1368421052631579,
98
+ "grad_norm": 0.4197581149930986,
99
+ "learning_rate": 6.789473684210527e-06,
100
+ "loss": 0.270052433013916,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.14736842105263157,
105
+ "grad_norm": 0.6058716215674994,
106
+ "learning_rate": 7.315789473684212e-06,
107
+ "loss": 0.2713931560516357,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.15789473684210525,
112
+ "grad_norm": 0.4498472396090805,
113
+ "learning_rate": 7.842105263157895e-06,
114
+ "loss": 0.2677438259124756,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.16842105263157894,
119
+ "grad_norm": 0.3813872392032306,
120
+ "learning_rate": 8.36842105263158e-06,
121
+ "loss": 0.27045254707336425,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.17894736842105263,
126
+ "grad_norm": 0.3786445142266396,
127
+ "learning_rate": 8.894736842105264e-06,
128
+ "loss": 0.26593449115753176,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.18947368421052632,
133
+ "grad_norm": 0.3833925340248026,
134
+ "learning_rate": 9.421052631578949e-06,
135
+ "loss": 0.2692275524139404,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.2,
140
+ "grad_norm": 0.37477218799718576,
141
+ "learning_rate": 9.947368421052632e-06,
142
+ "loss": 0.2617882013320923,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.21052631578947367,
147
+ "grad_norm": 0.477016990803172,
148
+ "learning_rate": 9.999316524962347e-06,
149
+ "loss": 0.2579406499862671,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.22105263157894736,
154
+ "grad_norm": 0.5118285415978902,
155
+ "learning_rate": 9.99695413509548e-06,
156
+ "loss": 0.2633354187011719,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.23157894736842105,
161
+ "grad_norm": 0.37177515692171104,
162
+ "learning_rate": 9.992905189592214e-06,
163
+ "loss": 0.26079983711242677,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.24210526315789474,
168
+ "grad_norm": 0.34446217973090965,
169
+ "learning_rate": 9.987171055039409e-06,
170
+ "loss": 0.2591416835784912,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.25263157894736843,
175
+ "grad_norm": 0.33701278259155837,
176
+ "learning_rate": 9.979753666803427e-06,
177
+ "loss": 0.2563564538955688,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.2631578947368421,
182
+ "grad_norm": 0.3496898065537767,
183
+ "learning_rate": 9.970655528376914e-06,
184
+ "loss": 0.25649425983428953,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.2736842105263158,
189
+ "grad_norm": 0.3570733470110301,
190
+ "learning_rate": 9.959879710533835e-06,
191
+ "loss": 0.2514047622680664,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.28421052631578947,
196
+ "grad_norm": 0.33950279950293666,
197
+ "learning_rate": 9.947429850293025e-06,
198
+ "loss": 0.25052080154418943,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.29473684210526313,
203
+ "grad_norm": 0.36603952563869635,
204
+ "learning_rate": 9.933310149690643e-06,
205
+ "loss": 0.2473949670791626,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.30526315789473685,
210
+ "grad_norm": 0.39526156548660335,
211
+ "learning_rate": 9.917525374361913e-06,
212
+ "loss": 0.253931450843811,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.3157894736842105,
217
+ "grad_norm": 0.3617016541301398,
218
+ "learning_rate": 9.90008085193264e-06,
219
+ "loss": 0.24810972213745117,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.3263157894736842,
224
+ "grad_norm": 0.4585114205412518,
225
+ "learning_rate": 9.880982470221052e-06,
226
+ "loss": 0.24793970584869385,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.3368421052631579,
231
+ "grad_norm": 0.34067444626037535,
232
+ "learning_rate": 9.860236675250553e-06,
233
+ "loss": 0.2456535816192627,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.3473684210526316,
238
+ "grad_norm": 0.31516469260498103,
239
+ "learning_rate": 9.837850469074094e-06,
240
+ "loss": 0.24865407943725587,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.35789473684210527,
245
+ "grad_norm": 0.6500817581434986,
246
+ "learning_rate": 9.813831407410856e-06,
247
+ "loss": 0.24951438903808593,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.3684210526315789,
252
+ "grad_norm": 0.58987539476686,
253
+ "learning_rate": 9.78818759709607e-06,
254
+ "loss": 0.2451018810272217,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.37894736842105264,
259
+ "grad_norm": 0.33348637001418185,
260
+ "learning_rate": 9.760927693344823e-06,
261
+ "loss": 0.2430849552154541,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.3894736842105263,
266
+ "grad_norm": 0.4035289253846529,
267
+ "learning_rate": 9.732060896830782e-06,
268
+ "loss": 0.24643757343292236,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.4,
273
+ "grad_norm": 0.29142117563043035,
274
+ "learning_rate": 9.701596950580807e-06,
275
+ "loss": 0.24258551597595215,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.4105263157894737,
280
+ "grad_norm": 0.37667048852759877,
281
+ "learning_rate": 9.669546136686524e-06,
282
+ "loss": 0.24466416835784913,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.42105263157894735,
287
+ "grad_norm": 0.3694771433430214,
288
+ "learning_rate": 9.635919272833938e-06,
289
+ "loss": 0.2395392656326294,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.43157894736842106,
294
+ "grad_norm": 0.34436857266337656,
295
+ "learning_rate": 9.60072770865229e-06,
296
+ "loss": 0.2455674171447754,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.4421052631578947,
301
+ "grad_norm": 0.3291687087725323,
302
+ "learning_rate": 9.563983321883364e-06,
303
+ "loss": 0.23904929161071778,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.45263157894736844,
308
+ "grad_norm": 0.35296123923399403,
309
+ "learning_rate": 9.525698514372552e-06,
310
+ "loss": 0.2415750503540039,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.4631578947368421,
315
+ "grad_norm": 0.4303363601433006,
316
+ "learning_rate": 9.485886207883022e-06,
317
+ "loss": 0.24164988994598388,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.47368421052631576,
322
+ "grad_norm": 0.3157317590731169,
323
+ "learning_rate": 9.444559839734409e-06,
324
+ "loss": 0.23684978485107422,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.4842105263157895,
329
+ "grad_norm": 0.2716131550573974,
330
+ "learning_rate": 9.401733358267488e-06,
331
+ "loss": 0.2425467014312744,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.49473684210526314,
336
+ "grad_norm": 0.38549889598193476,
337
+ "learning_rate": 9.357421218136387e-06,
338
+ "loss": 0.24148106575012207,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.5052631578947369,
343
+ "grad_norm": 0.3045496764905947,
344
+ "learning_rate": 9.311638375429893e-06,
345
+ "loss": 0.2403855800628662,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.5157894736842106,
350
+ "grad_norm": 0.31611910336553356,
351
+ "learning_rate": 9.264400282623516e-06,
352
+ "loss": 0.23651041984558105,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.5263157894736842,
357
+ "grad_norm": 0.2942418097699454,
358
+ "learning_rate": 9.215722883364033e-06,
359
+ "loss": 0.23911645412445068,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.5368421052631579,
364
+ "grad_norm": 0.3564785149457858,
365
+ "learning_rate": 9.16562260708823e-06,
366
+ "loss": 0.23804664611816406,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.5473684210526316,
371
+ "grad_norm": 0.29608903538109094,
372
+ "learning_rate": 9.114116363477694e-06,
373
+ "loss": 0.23622217178344726,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.5578947368421052,
378
+ "grad_norm": 0.27063675841962603,
379
+ "learning_rate": 9.061221536751517e-06,
380
+ "loss": 0.2335085391998291,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.5684210526315789,
385
+ "grad_norm": 0.3700053217448726,
386
+ "learning_rate": 9.006955979798828e-06,
387
+ "loss": 0.2344600200653076,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.5789473684210527,
392
+ "grad_norm": 0.32218709242170523,
393
+ "learning_rate": 8.95133800815314e-06,
394
+ "loss": 0.2334850549697876,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.5894736842105263,
399
+ "grad_norm": 0.40837588737283337,
400
+ "learning_rate": 8.894386393810563e-06,
401
+ "loss": 0.2322662353515625,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.6,
406
+ "grad_norm": 0.31657134780197116,
407
+ "learning_rate": 8.836120358893926e-06,
408
+ "loss": 0.2351128101348877,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.6105263157894737,
413
+ "grad_norm": 0.2915939886698428,
414
+ "learning_rate": 8.776559569165001e-06,
415
+ "loss": 0.23562440872192383,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.6210526315789474,
420
+ "grad_norm": 0.26595737346334347,
421
+ "learning_rate": 8.715724127386971e-06,
422
+ "loss": 0.23326187133789061,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.631578947368421,
427
+ "grad_norm": 0.7923541660106611,
428
+ "learning_rate": 8.653634566539421e-06,
429
+ "loss": 0.2332840919494629,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.6421052631578947,
434
+ "grad_norm": 0.28626580873541546,
435
+ "learning_rate": 8.590311842888101e-06,
436
+ "loss": 0.23210554122924804,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.6526315789473685,
441
+ "grad_norm": 0.3701176857632992,
442
+ "learning_rate": 8.525777328911846e-06,
443
+ "loss": 0.23671398162841797,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.6631578947368421,
448
+ "grad_norm": 0.2875042252981235,
449
+ "learning_rate": 8.460052806089e-06,
450
+ "loss": 0.22931747436523436,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.6736842105263158,
455
+ "grad_norm": 0.33217849316692016,
456
+ "learning_rate": 8.39316045754581e-06,
457
+ "loss": 0.23210363388061522,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.6842105263157895,
462
+ "grad_norm": 0.280347843356136,
463
+ "learning_rate": 8.325122860569241e-06,
464
+ "loss": 0.23148860931396484,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.6947368421052632,
469
+ "grad_norm": 0.2649173567639588,
470
+ "learning_rate": 8.255962978986772e-06,
471
+ "loss": 0.23530981540679932,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.7052631578947368,
476
+ "grad_norm": 0.27660248690646144,
477
+ "learning_rate": 8.18570415541571e-06,
478
+ "loss": 0.2317359209060669,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.7157894736842105,
483
+ "grad_norm": 0.2611619753304284,
484
+ "learning_rate": 8.11437010338468e-06,
485
+ "loss": 0.23137691020965576,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.7263157894736842,
490
+ "grad_norm": 0.2901156822724913,
491
+ "learning_rate": 8.041984899329898e-06,
492
+ "loss": 0.23447022438049317,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.7368421052631579,
497
+ "grad_norm": 0.3172706859569011,
498
+ "learning_rate": 7.968572974468982e-06,
499
+ "loss": 0.23113114833831788,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.7473684210526316,
504
+ "grad_norm": 0.26923517300127675,
505
+ "learning_rate": 7.894159106554997e-06,
506
+ "loss": 0.2257591724395752,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.7578947368421053,
511
+ "grad_norm": 0.25675260763783175,
512
+ "learning_rate": 7.81876841151356e-06,
513
+ "loss": 0.22820115089416504,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.7684210526315789,
518
+ "grad_norm": 0.2985581827043166,
519
+ "learning_rate": 7.742426334965788e-06,
520
+ "loss": 0.22522048950195311,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.7789473684210526,
525
+ "grad_norm": 0.256477254031821,
526
+ "learning_rate": 7.66515864363997e-06,
527
+ "loss": 0.22865695953369142,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.7894736842105263,
532
+ "grad_norm": 0.25912640052736846,
533
+ "learning_rate": 7.58699141667488e-06,
534
+ "loss": 0.23268895149230956,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.8,
539
+ "grad_norm": 0.3376282600448913,
540
+ "learning_rate": 7.507951036817618e-06,
541
+ "loss": 0.22948784828186036,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.8105263157894737,
546
+ "grad_norm": 0.2722539535853267,
547
+ "learning_rate": 7.428064181518997e-06,
548
+ "loss": 0.23147838115692138,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.8210526315789474,
553
+ "grad_norm": 0.3232650917218156,
554
+ "learning_rate": 7.347357813929455e-06,
555
+ "loss": 0.22798795700073243,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.8315789473684211,
560
+ "grad_norm": 0.30130678917697473,
561
+ "learning_rate": 7.2658591737985405e-06,
562
+ "loss": 0.22906970977783203,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.8421052631578947,
567
+ "grad_norm": 0.26197784537754926,
568
+ "learning_rate": 7.183595768281044e-06,
569
+ "loss": 0.22639477252960205,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.8526315789473684,
574
+ "grad_norm": 0.48614836515648374,
575
+ "learning_rate": 7.100595362652872e-06,
576
+ "loss": 0.22935261726379394,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.8631578947368421,
581
+ "grad_norm": 0.25012169184270855,
582
+ "learning_rate": 7.016885970939798e-06,
583
+ "loss": 0.22815964221954346,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.8736842105263158,
588
+ "grad_norm": 0.2948702412207363,
589
+ "learning_rate": 6.932495846462262e-06,
590
+ "loss": 0.22594799995422363,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.8842105263157894,
595
+ "grad_norm": 0.2564020310641306,
596
+ "learning_rate": 6.847453472299408e-06,
597
+ "loss": 0.22986969947814942,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.8947368421052632,
602
+ "grad_norm": 0.268350159639413,
603
+ "learning_rate": 6.761787551675559e-06,
604
+ "loss": 0.22606315612792968,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.9052631578947369,
609
+ "grad_norm": 0.25303823867365227,
610
+ "learning_rate": 6.675526998272405e-06,
611
+ "loss": 0.22781219482421874,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.9157894736842105,
616
+ "grad_norm": 0.24128206311859207,
617
+ "learning_rate": 6.588700926470145e-06,
618
+ "loss": 0.2311699867248535,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.9263157894736842,
623
+ "grad_norm": 0.27586764734715774,
624
+ "learning_rate": 6.501338641520906e-06,
625
+ "loss": 0.22211828231811523,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.9368421052631579,
630
+ "grad_norm": 0.4360570000145812,
631
+ "learning_rate": 6.413469629657724e-06,
632
+ "loss": 0.2278078317642212,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.9473684210526315,
637
+ "grad_norm": 0.24433754036962882,
638
+ "learning_rate": 6.325123548142442e-06,
639
+ "loss": 0.2261662483215332,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.9578947368421052,
644
+ "grad_norm": 0.24568292932260566,
645
+ "learning_rate": 6.2363302152559004e-06,
646
+ "loss": 0.2212979316711426,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.968421052631579,
651
+ "grad_norm": 0.2333871430404351,
652
+ "learning_rate": 6.147119600233758e-06,
653
+ "loss": 0.22573590278625488,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.9789473684210527,
658
+ "grad_norm": 0.25863096769040667,
659
+ "learning_rate": 6.0575218131513795e-06,
660
+ "loss": 0.22593274116516113,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.9894736842105263,
665
+ "grad_norm": 0.2539354201398518,
666
+ "learning_rate": 5.967567094761173e-06,
667
+ "loss": 0.2244725227355957,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 1.0,
672
+ "grad_norm": 0.2402488545181466,
673
+ "learning_rate": 5.8772858062858414e-06,
674
+ "loss": 0.21960890293121338,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 1.0105263157894737,
679
+ "grad_norm": 0.2560053913833645,
680
+ "learning_rate": 5.786708419170955e-06,
681
+ "loss": 0.20080842971801757,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 1.0210526315789474,
686
+ "grad_norm": 0.24117869328923505,
687
+ "learning_rate": 5.695865504800328e-06,
688
+ "loss": 0.19827678203582763,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 1.0315789473684212,
693
+ "grad_norm": 0.24154906537692994,
694
+ "learning_rate": 5.604787724177666e-06,
695
+ "loss": 0.19904773235321044,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 1.0421052631578946,
700
+ "grad_norm": 0.23230509506202726,
701
+ "learning_rate": 5.513505817577966e-06,
702
+ "loss": 0.19755897521972657,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 1.0526315789473684,
707
+ "grad_norm": 0.23270509584301466,
708
+ "learning_rate": 5.422050594172161e-06,
709
+ "loss": 0.19692963361740112,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 1.063157894736842,
714
+ "grad_norm": 0.21321831108510783,
715
+ "learning_rate": 5.3304529216284974e-06,
716
+ "loss": 0.19321495294570923,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 1.0736842105263158,
721
+ "grad_norm": 0.23515963830974837,
722
+ "learning_rate": 5.2387437156942e-06,
723
+ "loss": 0.194428014755249,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 1.0842105263157895,
728
+ "grad_norm": 0.2452940302325894,
729
+ "learning_rate": 5.146953929760873e-06,
730
+ "loss": 0.1979002833366394,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 1.0947368421052632,
735
+ "grad_norm": 0.22955100819462348,
736
+ "learning_rate": 5.055114544417219e-06,
737
+ "loss": 0.19375243186950683,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 1.1052631578947367,
742
+ "grad_norm": 0.2562280748748215,
743
+ "learning_rate": 4.963256556992573e-06,
744
+ "loss": 0.19927580356597902,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 1.1157894736842104,
749
+ "grad_norm": 0.23477566978411393,
750
+ "learning_rate": 4.871410971094783e-06,
751
+ "loss": 0.19494152069091797,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 1.1263157894736842,
756
+ "grad_norm": 0.24005909867994898,
757
+ "learning_rate": 4.779608786145974e-06,
758
+ "loss": 0.19628028869628905,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 1.1368421052631579,
763
+ "grad_norm": 0.24107125828320453,
764
+ "learning_rate": 4.687880986919725e-06,
765
+ "loss": 0.19705599546432495,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 1.1473684210526316,
770
+ "grad_norm": 0.22643098909285125,
771
+ "learning_rate": 4.596258533083189e-06,
772
+ "loss": 0.19771865606307984,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 1.1578947368421053,
777
+ "grad_norm": 0.22373018520600654,
778
+ "learning_rate": 4.504772348747687e-06,
779
+ "loss": 0.19638514518737793,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 1.168421052631579,
784
+ "grad_norm": 0.2541033944910274,
785
+ "learning_rate": 4.4134533120313015e-06,
786
+ "loss": 0.19807765483856202,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 1.1789473684210527,
791
+ "grad_norm": 0.23320273393212126,
792
+ "learning_rate": 4.322332244637e-06,
793
+ "loss": 0.1977887749671936,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 1.1894736842105262,
798
+ "grad_norm": 0.2724259321971122,
799
+ "learning_rate": 4.231439901449788e-06,
800
+ "loss": 0.19492437839508056,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 1.2,
805
+ "grad_norm": 0.2729969993556753,
806
+ "learning_rate": 4.140806960156426e-06,
807
+ "loss": 0.1960810422897339,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 1.2105263157894737,
812
+ "grad_norm": 0.24223359394034727,
813
+ "learning_rate": 4.050464010891191e-06,
814
+ "loss": 0.19544320106506347,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 1.2210526315789474,
819
+ "grad_norm": 0.24962519136376687,
820
+ "learning_rate": 3.960441545911205e-06,
821
+ "loss": 0.1957876443862915,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 1.231578947368421,
826
+ "grad_norm": 0.23643614567716031,
827
+ "learning_rate": 3.870769949304771e-06,
828
+ "loss": 0.1965243101119995,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 1.2421052631578948,
833
+ "grad_norm": 0.2356542586811669,
834
+ "learning_rate": 3.7814794867362563e-06,
835
+ "loss": 0.19517325162887572,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 1.2526315789473683,
840
+ "grad_norm": 0.22025462498055062,
841
+ "learning_rate": 3.6926002952309015e-06,
842
+ "loss": 0.19646933078765869,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 1.263157894736842,
847
+ "grad_norm": 0.22794888138013025,
848
+ "learning_rate": 3.6041623730030908e-06,
849
+ "loss": 0.19446859359741211,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 1.2736842105263158,
854
+ "grad_norm": 0.3072563026472242,
855
+ "learning_rate": 3.5161955693314353e-06,
856
+ "loss": 0.19366879463195802,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 1.2842105263157895,
861
+ "grad_norm": 0.2360620815116723,
862
+ "learning_rate": 3.4287295744841588e-06,
863
+ "loss": 0.1941930890083313,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 1.2947368421052632,
868
+ "grad_norm": 0.2408142725580947,
869
+ "learning_rate": 3.3417939096981154e-06,
870
+ "loss": 0.1977081298828125,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 1.305263157894737,
875
+ "grad_norm": 0.24380089414862308,
876
+ "learning_rate": 3.2554179172149027e-06,
877
+ "loss": 0.19555530548095704,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 1.3157894736842106,
882
+ "grad_norm": 0.2273317202974929,
883
+ "learning_rate": 3.169630750377337e-06,
884
+ "loss": 0.19574146270751952,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 1.3263157894736843,
889
+ "grad_norm": 0.24040126122796907,
890
+ "learning_rate": 3.084461363789739e-06,
891
+ "loss": 0.19112685918807984,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 1.3368421052631578,
896
+ "grad_norm": 0.24119397115172012,
897
+ "learning_rate": 2.9999385035452477e-06,
898
+ "loss": 0.19243521690368653,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 1.3473684210526315,
903
+ "grad_norm": 0.23019930316593812,
904
+ "learning_rate": 2.9160906975235493e-06,
905
+ "loss": 0.19451719522476196,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 1.3578947368421053,
910
+ "grad_norm": 0.23920334318487319,
911
+ "learning_rate": 2.8329462457622263e-06,
912
+ "loss": 0.1940847158432007,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 1.368421052631579,
917
+ "grad_norm": 0.23412188183936342,
918
+ "learning_rate": 2.750533210905042e-06,
919
+ "loss": 0.19349358081817628,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 1.3789473684210527,
924
+ "grad_norm": 0.21551699186095405,
925
+ "learning_rate": 2.6688794087302993e-06,
926
+ "loss": 0.19271211624145507,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 1.3894736842105262,
931
+ "grad_norm": 0.20849774588291908,
932
+ "learning_rate": 2.588012398762578e-06,
933
+ "loss": 0.19864912033081056,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 1.4,
938
+ "grad_norm": 0.21328526458766311,
939
+ "learning_rate": 2.507959474970918e-06,
940
+ "loss": 0.19355106353759766,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 1.4105263157894736,
945
+ "grad_norm": 0.34194316177073125,
946
+ "learning_rate": 2.4287476565566525e-06,
947
+ "loss": 0.1974609375,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 1.4210526315789473,
952
+ "grad_norm": 0.22796598872576254,
953
+ "learning_rate": 2.3504036788339763e-06,
954
+ "loss": 0.19361681938171388,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 1.431578947368421,
959
+ "grad_norm": 0.20019183115998365,
960
+ "learning_rate": 2.2729539842063275e-06,
961
+ "loss": 0.19068057537078859,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 1.4421052631578948,
966
+ "grad_norm": 0.22660018950412655,
967
+ "learning_rate": 2.1964247132416373e-06,
968
+ "loss": 0.19165360927581787,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 1.4526315789473685,
973
+ "grad_norm": 0.21757509800574742,
974
+ "learning_rate": 2.1208416958494472e-06,
975
+ "loss": 0.1914669394493103,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 1.4631578947368422,
980
+ "grad_norm": 0.24686464031437413,
981
+ "learning_rate": 2.0462304425628836e-06,
982
+ "loss": 0.19094971418380738,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 1.4736842105263157,
987
+ "grad_norm": 0.22050784591255532,
988
+ "learning_rate": 1.9726161359284283e-06,
989
+ "loss": 0.19408802986145018,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 1.4842105263157894,
994
+ "grad_norm": 0.23883753292572996,
995
+ "learning_rate": 1.900023622006385e-06,
996
+ "loss": 0.19336466789245604,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 1.4947368421052631,
1001
+ "grad_norm": 0.2344684291824738,
1002
+ "learning_rate": 1.8284774019849176e-06,
1003
+ "loss": 0.19300740957260132,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 1.5052631578947369,
1008
+ "grad_norm": 0.21711448472496156,
1009
+ "learning_rate": 1.7580016239104924e-06,
1010
+ "loss": 0.19296154975891114,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 1.5157894736842106,
1015
+ "grad_norm": 0.24780612580732622,
1016
+ "learning_rate": 1.688620074537506e-06,
1017
+ "loss": 0.1929314136505127,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 1.526315789473684,
1022
+ "grad_norm": 0.2206541438602251,
1023
+ "learning_rate": 1.6203561712998561e-06,
1024
+ "loss": 0.1906610369682312,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 1.5368421052631578,
1029
+ "grad_norm": 0.21230623997902,
1030
+ "learning_rate": 1.5532329544071712e-06,
1031
+ "loss": 0.19095816612243652,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 1.5473684210526315,
1036
+ "grad_norm": 0.2171870375831668,
1037
+ "learning_rate": 1.4872730790683488e-06,
1038
+ "loss": 0.18936022520065307,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 1.5578947368421052,
1043
+ "grad_norm": 0.2262190991152859,
1044
+ "learning_rate": 1.4224988078450453e-06,
1045
+ "loss": 0.1960120677947998,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 1.568421052631579,
1050
+ "grad_norm": 0.2231126574847687,
1051
+ "learning_rate": 1.35893200313769e-06,
1052
+ "loss": 0.19057438373565674,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 1.5789473684210527,
1057
+ "grad_norm": 0.2183577811127496,
1058
+ "learning_rate": 1.2965941198065568e-06,
1059
+ "loss": 0.19361931085586548,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 1.5894736842105264,
1064
+ "grad_norm": 0.2261516565345015,
1065
+ "learning_rate": 1.2355061979303922e-06,
1066
+ "loss": 0.19579588174819945,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 1.6,
1071
+ "grad_norm": 0.23385782514372466,
1072
+ "learning_rate": 1.1756888557050356e-06,
1073
+ "loss": 0.19346574544906617,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 1.6105263157894738,
1078
+ "grad_norm": 0.3087753190560097,
1079
+ "learning_rate": 1.1171622824844324e-06,
1080
+ "loss": 0.19312095642089844,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 1.6210526315789475,
1085
+ "grad_norm": 0.22259269504989648,
1086
+ "learning_rate": 1.0599462319663906e-06,
1087
+ "loss": 0.1921621322631836,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 1.631578947368421,
1092
+ "grad_norm": 0.21720260697556215,
1093
+ "learning_rate": 1.0040600155253766e-06,
1094
+ "loss": 0.19026801586151124,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 1.6421052631578947,
1099
+ "grad_norm": 0.2261730072096276,
1100
+ "learning_rate": 9.495224956946031e-07,
1101
+ "loss": 0.1914633870124817,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 1.6526315789473685,
1106
+ "grad_norm": 0.2235359133621775,
1107
+ "learning_rate": 8.963520797996078e-07,
1108
+ "loss": 0.194749915599823,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 1.663157894736842,
1113
+ "grad_norm": 0.28496078673484426,
1114
+ "learning_rate": 8.44566713745476e-07,
1115
+ "loss": 0.19352084398269653,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 1.6736842105263157,
1120
+ "grad_norm": 0.23603914275675128,
1121
+ "learning_rate": 7.941838759597931e-07,
1122
+ "loss": 0.19102840423583983,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 1.6842105263157894,
1127
+ "grad_norm": 0.2206919124362459,
1128
+ "learning_rate": 7.452205714933864e-07,
1129
+ "loss": 0.18865236043930053,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 1.694736842105263,
1134
+ "grad_norm": 0.24184900769040688,
1135
+ "learning_rate": 6.976933262808322e-07,
1136
+ "loss": 0.18964484930038453,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 1.7052631578947368,
1141
+ "grad_norm": 0.22294967516263442,
1142
+ "learning_rate": 6.516181815626809e-07,
1143
+ "loss": 0.19139573574066163,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 1.7157894736842105,
1148
+ "grad_norm": 0.22169696589686833,
1149
+ "learning_rate": 6.070106884712668e-07,
1150
+ "loss": 0.19114992618560792,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 1.7263157894736842,
1155
+ "grad_norm": 0.22906272850245235,
1156
+ "learning_rate": 5.63885902781941e-07,
1157
+ "loss": 0.19300049543380737,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 1.736842105263158,
1162
+ "grad_norm": 0.2612569770487494,
1163
+ "learning_rate": 5.222583798314962e-07,
1164
+ "loss": 0.18835369348526002,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 1.7473684210526317,
1169
+ "grad_norm": 0.23597308200427897,
1170
+ "learning_rate": 4.821421696054957e-07,
1171
+ "loss": 0.18905959129333497,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 1.7578947368421054,
1176
+ "grad_norm": 0.2354057454295218,
1177
+ "learning_rate": 4.435508119961701e-07,
1178
+ "loss": 0.19171972274780275,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 1.768421052631579,
1183
+ "grad_norm": 0.22742436605525082,
1184
+ "learning_rate": 4.06497332232475e-07,
1185
+ "loss": 0.19223358631134033,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 1.7789473684210526,
1190
+ "grad_norm": 0.2268280151833897,
1191
+ "learning_rate": 3.709942364838598e-07,
1192
+ "loss": 0.19200823307037354,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 1.7894736842105263,
1197
+ "grad_norm": 0.21216237159532964,
1198
+ "learning_rate": 3.370535076392256e-07,
1199
+ "loss": 0.19032894372940062,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 1.8,
1204
+ "grad_norm": 0.23863872092250762,
1205
+ "learning_rate": 3.046866012624999e-07,
1206
+ "loss": 0.1908974289894104,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 1.8105263157894735,
1211
+ "grad_norm": 0.25323231696480675,
1212
+ "learning_rate": 2.73904441726191e-07,
1213
+ "loss": 0.1913193106651306,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 1.8210526315789473,
1218
+ "grad_norm": 0.23299158638283501,
1219
+ "learning_rate": 2.447174185242324e-07,
1220
+ "loss": 0.19021756649017335,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 1.831578947368421,
1225
+ "grad_norm": 0.21918927727852808,
1226
+ "learning_rate": 2.1713538276535052e-07,
1227
+ "loss": 0.19478182792663573,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 1.8421052631578947,
1232
+ "grad_norm": 0.220992984570649,
1233
+ "learning_rate": 1.9116764384815467e-07,
1234
+ "loss": 0.18993787765502929,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 1.8526315789473684,
1239
+ "grad_norm": 0.28750317835906863,
1240
+ "learning_rate": 1.6682296631905626e-07,
1241
+ "loss": 0.19059154987335206,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 1.8631578947368421,
1246
+ "grad_norm": 0.21495029832198798,
1247
+ "learning_rate": 1.441095669140896e-07,
1248
+ "loss": 0.19143071174621581,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 1.8736842105263158,
1253
+ "grad_norm": 0.22758677733757773,
1254
+ "learning_rate": 1.2303511178562544e-07,
1255
+ "loss": 0.1924317717552185,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 1.8842105263157896,
1260
+ "grad_norm": 0.22766139614383973,
1261
+ "learning_rate": 1.0360671391491606e-07,
1262
+ "loss": 0.19013935327529907,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 1.8947368421052633,
1267
+ "grad_norm": 0.21063323843683499,
1268
+ "learning_rate": 8.583093071134473e-08,
1269
+ "loss": 0.19048439264297484,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 1.905263157894737,
1274
+ "grad_norm": 0.2516577931069737,
1275
+ "learning_rate": 6.971376179919109e-08,
1276
+ "loss": 0.1912379264831543,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 1.9157894736842105,
1281
+ "grad_norm": 0.21628674338252907,
1282
+ "learning_rate": 5.526064699265754e-08,
1283
+ "loss": 0.1933832049369812,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 1.9263157894736842,
1288
+ "grad_norm": 0.2741423468242503,
1289
+ "learning_rate": 4.247646445984077e-08,
1290
+ "loss": 0.18934450149536133,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 1.936842105263158,
1295
+ "grad_norm": 0.2757929538229735,
1296
+ "learning_rate": 3.136552907626711e-08,
1297
+ "loss": 0.19112942218780518,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 1.9473684210526314,
1302
+ "grad_norm": 0.2172478786990186,
1303
+ "learning_rate": 2.193159096855191e-08,
1304
+ "loss": 0.1910516858100891,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 1.9578947368421051,
1309
+ "grad_norm": 0.23672372025842228,
1310
+ "learning_rate": 1.4177834248668144e-08,
1311
+ "loss": 0.18861913681030273,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 1.9684210526315788,
1316
+ "grad_norm": 0.23923539449304637,
1317
+ "learning_rate": 8.106875939254966e-09,
1318
+ "loss": 0.18934390544891358,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 1.9789473684210526,
1323
+ "grad_norm": 0.23475788521981422,
1324
+ "learning_rate": 3.7207650903298143e-09,
1325
+ "loss": 0.188625967502594,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 1.9894736842105263,
1330
+ "grad_norm": 0.21766947068702502,
1331
+ "learning_rate": 1.0209820876977416e-09,
1332
+ "loss": 0.19255759716033935,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 2.0,
1337
+ "grad_norm": 0.21844391195791013,
1338
+ "learning_rate": 8.438153299428209e-12,
1339
+ "loss": 0.19022877216339112,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 2.0,
1344
+ "step": 1900,
1345
+ "total_flos": 3.659698498699264e+16,
1346
+ "train_loss": 0.22238492313184235,
1347
+ "train_runtime": 118983.8658,
1348
+ "train_samples_per_second": 0.511,
1349
+ "train_steps_per_second": 0.016
1350
+ }
1351
+ ],
1352
+ "logging_steps": 10,
1353
+ "max_steps": 1900,
1354
+ "num_input_tokens_seen": 0,
1355
+ "num_train_epochs": 2,
1356
+ "save_steps": 400,
1357
+ "stateful_callbacks": {
1358
+ "TrainerControl": {
1359
+ "args": {
1360
+ "should_epoch_stop": false,
1361
+ "should_evaluate": false,
1362
+ "should_log": false,
1363
+ "should_save": true,
1364
+ "should_training_stop": true
1365
+ },
1366
+ "attributes": {}
1367
+ }
1368
+ },
1369
+ "total_flos": 3.659698498699264e+16,
1370
+ "train_batch_size": 1,
1371
+ "trial_name": null,
1372
+ "trial_params": null
1373
+ }
designcoder_qwen3.6_27b_adamw_bs32_step1900_r2/training_loss.png ADDED