Text Generation
Transformers
Safetensors
designcoder
ui-generation
front-end
html
css
javascript
code-generation
full-sft
Instructions to use xingxm/DesignCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xingxm/DesignCoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="xingxm/DesignCoder")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xingxm/DesignCoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use xingxm/DesignCoder with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "xingxm/DesignCoder" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "xingxm/DesignCoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/xingxm/DesignCoder
- SGLang
How to use xingxm/DesignCoder with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "xingxm/DesignCoder" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "xingxm/DesignCoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "xingxm/DesignCoder" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "xingxm/DesignCoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use xingxm/DesignCoder with Docker Model Runner:
docker model run hf.co/xingxm/DesignCoder
Add designcoder_qwen3.6_27b_adamw_bs32_step1900 (base Qwen3.6-27B, AdamW, lr1e-5, global bs32, 2 epochs, step 1900)
Browse files- .gitattributes +1 -0
- designcoder_qwen3.6_27b_adamw_bs32_step1900/all_results.json +8 -0
- designcoder_qwen3.6_27b_adamw_bs32_step1900/chat_template.jinja +154 -0
- designcoder_qwen3.6_27b_adamw_bs32_step1900/config.json +147 -0
- designcoder_qwen3.6_27b_adamw_bs32_step1900/generation_config.json +13 -0
- designcoder_qwen3.6_27b_adamw_bs32_step1900/model-00001-of-00002.safetensors +3 -0
- designcoder_qwen3.6_27b_adamw_bs32_step1900/model-00002-of-00002.safetensors +3 -0
- designcoder_qwen3.6_27b_adamw_bs32_step1900/model.safetensors.index.json +0 -0
- designcoder_qwen3.6_27b_adamw_bs32_step1900/processor_config.json +60 -0
- designcoder_qwen3.6_27b_adamw_bs32_step1900/tokenizer.json +3 -0
- designcoder_qwen3.6_27b_adamw_bs32_step1900/tokenizer_config.json +34 -0
- designcoder_qwen3.6_27b_adamw_bs32_step1900/train_results.json +8 -0
- designcoder_qwen3.6_27b_adamw_bs32_step1900/trainer_log.jsonl +191 -0
- designcoder_qwen3.6_27b_adamw_bs32_step1900/trainer_state.json +1373 -0
- designcoder_qwen3.6_27b_adamw_bs32_step1900/training_loss.png +0 -0
.gitattributes
CHANGED
|
@@ -37,3 +37,4 @@ designcoder_qwen3.5_4b_muon_bs32_step1900/tokenizer.json filter=lfs diff=lfs mer
|
|
| 37 |
designcoder_qwen3.5_9b_adamw_bs16_step3800/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
|
|
|
|
|
|
| 37 |
designcoder_qwen3.5_9b_adamw_bs16_step3800/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
|
designcoder_qwen3.6_27b_adamw_bs32_step1900/all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"total_flos": 3.659698498699264e+16,
|
| 4 |
+
"train_loss": 0.2223978883341739,
|
| 5 |
+
"train_runtime": 118927.6827,
|
| 6 |
+
"train_samples_per_second": 0.511,
|
| 7 |
+
"train_steps_per_second": 0.016
|
| 8 |
+
}
|
designcoder_qwen3.6_27b_adamw_bs32_step1900/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/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/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/model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:02bb1a1b6a88b396909063ad92465f7c7996b0571954df356ec8e6975cee2073
|
| 3 |
+
size 49825162976
|
designcoder_qwen3.6_27b_adamw_bs32_step1900/model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bdf7280131cff6d13626a6a7a1358a09731925c7aab792bb45899aac59e7c510
|
| 3 |
+
size 4888445168
|
designcoder_qwen3.6_27b_adamw_bs32_step1900/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/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/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/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/train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"total_flos": 3.659698498699264e+16,
|
| 4 |
+
"train_loss": 0.2223978883341739,
|
| 5 |
+
"train_runtime": 118927.6827,
|
| 6 |
+
"train_samples_per_second": 0.511,
|
| 7 |
+
"train_steps_per_second": 0.016
|
| 8 |
+
}
|
designcoder_qwen3.6_27b_adamw_bs32_step1900/trainer_log.jsonl
ADDED
|
@@ -0,0 +1,191 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"current_steps": 10, "total_steps": 1900, "loss": 0.4388401031494141, "lr": 4.7368421052631585e-07, "epoch": 0.010526315789473684, "percentage": 0.53, "elapsed_time": "0:12:38", "remaining_time": "1 day, 15:50:44"}
|
| 2 |
+
{"current_steps": 20, "total_steps": 1900, "loss": 0.4183960437774658, "lr": 1.0000000000000002e-06, "epoch": 0.021052631578947368, "percentage": 1.05, "elapsed_time": "0:22:54", "remaining_time": "1 day, 11:53:20"}
|
| 3 |
+
{"current_steps": 30, "total_steps": 1900, "loss": 0.38854973316192626, "lr": 1.5263157894736844e-06, "epoch": 0.031578947368421054, "percentage": 1.58, "elapsed_time": "0:33:12", "remaining_time": "1 day, 10:30:08"}
|
| 4 |
+
{"current_steps": 40, "total_steps": 1900, "loss": 0.3483220100402832, "lr": 2.0526315789473687e-06, "epoch": 0.042105263157894736, "percentage": 2.11, "elapsed_time": "0:43:26", "remaining_time": "1 day, 9:39:45"}
|
| 5 |
+
{"current_steps": 50, "total_steps": 1900, "loss": 0.33406953811645507, "lr": 2.578947368421053e-06, "epoch": 0.05263157894736842, "percentage": 2.63, "elapsed_time": "0:53:39", "remaining_time": "1 day, 9:05:07"}
|
| 6 |
+
{"current_steps": 60, "total_steps": 1900, "loss": 0.32456417083740235, "lr": 3.1052631578947372e-06, "epoch": 0.06315789473684211, "percentage": 3.16, "elapsed_time": "1:03:56", "remaining_time": "1 day, 8:40:54"}
|
| 7 |
+
{"current_steps": 70, "total_steps": 1900, "loss": 0.3070519924163818, "lr": 3.6315789473684217e-06, "epoch": 0.07368421052631578, "percentage": 3.68, "elapsed_time": "1:14:13", "remaining_time": "1 day, 8:20:34"}
|
| 8 |
+
{"current_steps": 80, "total_steps": 1900, "loss": 0.29668684005737306, "lr": 4.157894736842106e-06, "epoch": 0.08421052631578947, "percentage": 4.21, "elapsed_time": "1:24:40", "remaining_time": "1 day, 8:06:17"}
|
| 9 |
+
{"current_steps": 90, "total_steps": 1900, "loss": 0.29548063278198244, "lr": 4.68421052631579e-06, "epoch": 0.09473684210526316, "percentage": 4.74, "elapsed_time": "1:35:05", "remaining_time": "1 day, 7:52:18"}
|
| 10 |
+
{"current_steps": 100, "total_steps": 1900, "loss": 0.2848931312561035, "lr": 5.210526315789474e-06, "epoch": 0.10526315789473684, "percentage": 5.26, "elapsed_time": "1:45:20", "remaining_time": "1 day, 7:36:14"}
|
| 11 |
+
{"current_steps": 110, "total_steps": 1900, "loss": 0.28335020542144773, "lr": 5.736842105263158e-06, "epoch": 0.11578947368421053, "percentage": 5.79, "elapsed_time": "1:55:36", "remaining_time": "1 day, 7:21:19"}
|
| 12 |
+
{"current_steps": 120, "total_steps": 1900, "loss": 0.2776665687561035, "lr": 6.263157894736842e-06, "epoch": 0.12631578947368421, "percentage": 6.32, "elapsed_time": "2:05:55", "remaining_time": "1 day, 7:07:56"}
|
| 13 |
+
{"current_steps": 130, "total_steps": 1900, "loss": 0.2700735807418823, "lr": 6.789473684210527e-06, "epoch": 0.1368421052631579, "percentage": 6.84, "elapsed_time": "2:16:11", "remaining_time": "1 day, 6:54:19"}
|
| 14 |
+
{"current_steps": 140, "total_steps": 1900, "loss": 0.2710584163665771, "lr": 7.315789473684212e-06, "epoch": 0.14736842105263157, "percentage": 7.37, "elapsed_time": "2:26:33", "remaining_time": "1 day, 6:42:26"}
|
| 15 |
+
{"current_steps": 150, "total_steps": 1900, "loss": 0.26728742122650145, "lr": 7.842105263157895e-06, "epoch": 0.15789473684210525, "percentage": 7.89, "elapsed_time": "2:36:48", "remaining_time": "1 day, 6:29:21"}
|
| 16 |
+
{"current_steps": 160, "total_steps": 1900, "loss": 0.2700555086135864, "lr": 8.36842105263158e-06, "epoch": 0.16842105263157894, "percentage": 8.42, "elapsed_time": "2:47:01", "remaining_time": "1 day, 6:16:19"}
|
| 17 |
+
{"current_steps": 170, "total_steps": 1900, "loss": 0.26561133861541747, "lr": 8.894736842105264e-06, "epoch": 0.17894736842105263, "percentage": 8.95, "elapsed_time": "2:57:17", "remaining_time": "1 day, 6:04:11"}
|
| 18 |
+
{"current_steps": 180, "total_steps": 1900, "loss": 0.26897881031036375, "lr": 9.421052631578949e-06, "epoch": 0.18947368421052632, "percentage": 9.47, "elapsed_time": "3:07:38", "remaining_time": "1 day, 5:52:56"}
|
| 19 |
+
{"current_steps": 190, "total_steps": 1900, "loss": 0.2614171504974365, "lr": 9.947368421052632e-06, "epoch": 0.2, "percentage": 10.0, "elapsed_time": "3:17:58", "remaining_time": "1 day, 5:41:44"}
|
| 20 |
+
{"current_steps": 200, "total_steps": 1900, "loss": 0.2577904939651489, "lr": 9.999316524962347e-06, "epoch": 0.21052631578947367, "percentage": 10.53, "elapsed_time": "3:28:25", "remaining_time": "1 day, 5:31:32"}
|
| 21 |
+
{"current_steps": 210, "total_steps": 1900, "loss": 0.26322250366210936, "lr": 9.99695413509548e-06, "epoch": 0.22105263157894736, "percentage": 11.05, "elapsed_time": "3:38:35", "remaining_time": "1 day, 5:19:06"}
|
| 22 |
+
{"current_steps": 220, "total_steps": 1900, "loss": 0.2607301712036133, "lr": 9.992905189592214e-06, "epoch": 0.23157894736842105, "percentage": 11.58, "elapsed_time": "3:48:51", "remaining_time": "1 day, 5:07:37"}
|
| 23 |
+
{"current_steps": 230, "total_steps": 1900, "loss": 0.25898401737213134, "lr": 9.987171055039409e-06, "epoch": 0.24210526315789474, "percentage": 12.11, "elapsed_time": "3:59:09", "remaining_time": "1 day, 4:56:30"}
|
| 24 |
+
{"current_steps": 240, "total_steps": 1900, "loss": 0.2562272548675537, "lr": 9.979753666803427e-06, "epoch": 0.25263157894736843, "percentage": 12.63, "elapsed_time": "4:09:26", "remaining_time": "1 day, 4:45:14"}
|
| 25 |
+
{"current_steps": 250, "total_steps": 1900, "loss": 0.2564618349075317, "lr": 9.970655528376914e-06, "epoch": 0.2631578947368421, "percentage": 13.16, "elapsed_time": "4:19:49", "remaining_time": "1 day, 4:34:48"}
|
| 26 |
+
{"current_steps": 260, "total_steps": 1900, "loss": 0.25131793022155763, "lr": 9.959879710533835e-06, "epoch": 0.2736842105263158, "percentage": 13.68, "elapsed_time": "4:30:00", "remaining_time": "1 day, 4:23:05"}
|
| 27 |
+
{"current_steps": 270, "total_steps": 1900, "loss": 0.2504633188247681, "lr": 9.947429850293025e-06, "epoch": 0.28421052631578947, "percentage": 14.21, "elapsed_time": "4:40:13", "remaining_time": "1 day, 4:11:43"}
|
| 28 |
+
{"current_steps": 280, "total_steps": 1900, "loss": 0.2474229335784912, "lr": 9.933310149690643e-06, "epoch": 0.29473684210526313, "percentage": 14.74, "elapsed_time": "4:50:30", "remaining_time": "1 day, 4:00:48"}
|
| 29 |
+
{"current_steps": 290, "total_steps": 1900, "loss": 0.25400705337524415, "lr": 9.917525374361913e-06, "epoch": 0.30526315789473685, "percentage": 15.26, "elapsed_time": "5:00:45", "remaining_time": "1 day, 3:49:41"}
|
| 30 |
+
{"current_steps": 300, "total_steps": 1900, "loss": 0.2480471611022949, "lr": 9.90008085193264e-06, "epoch": 0.3157894736842105, "percentage": 15.79, "elapsed_time": "5:11:06", "remaining_time": "1 day, 3:39:16"}
|
| 31 |
+
{"current_steps": 310, "total_steps": 1900, "loss": 0.2479090929031372, "lr": 9.880982470221052e-06, "epoch": 0.3263157894736842, "percentage": 16.32, "elapsed_time": "5:21:37", "remaining_time": "1 day, 3:29:35"}
|
| 32 |
+
{"current_steps": 320, "total_steps": 1900, "loss": 0.24546539783477783, "lr": 9.860236675250553e-06, "epoch": 0.3368421052631579, "percentage": 16.84, "elapsed_time": "5:31:57", "remaining_time": "1 day, 3:19:04"}
|
| 33 |
+
{"current_steps": 330, "total_steps": 1900, "loss": 0.24873201847076415, "lr": 9.837850469074094e-06, "epoch": 0.3473684210526316, "percentage": 17.37, "elapsed_time": "5:42:14", "remaining_time": "1 day, 3:08:15"}
|
| 34 |
+
{"current_steps": 340, "total_steps": 1900, "loss": 0.24970860481262208, "lr": 9.813831407410856e-06, "epoch": 0.35789473684210527, "percentage": 17.89, "elapsed_time": "5:52:35", "remaining_time": "1 day, 2:57:48"}
|
| 35 |
+
{"current_steps": 350, "total_steps": 1900, "loss": 0.245141863822937, "lr": 9.78818759709607e-06, "epoch": 0.3684210526315789, "percentage": 18.42, "elapsed_time": "6:02:52", "remaining_time": "1 day, 2:47:01"}
|
| 36 |
+
{"current_steps": 360, "total_steps": 1900, "loss": 0.2431349754333496, "lr": 9.760927693344823e-06, "epoch": 0.37894736842105264, "percentage": 18.95, "elapsed_time": "6:13:18", "remaining_time": "1 day, 2:36:55"}
|
| 37 |
+
{"current_steps": 370, "total_steps": 1900, "loss": 0.24647700786590576, "lr": 9.732060896830782e-06, "epoch": 0.3894736842105263, "percentage": 19.47, "elapsed_time": "6:23:33", "remaining_time": "1 day, 2:26:02"}
|
| 38 |
+
{"current_steps": 380, "total_steps": 1900, "loss": 0.2424950122833252, "lr": 9.701596950580807e-06, "epoch": 0.4, "percentage": 20.0, "elapsed_time": "6:33:55", "remaining_time": "1 day, 2:15:41"}
|
| 39 |
+
{"current_steps": 390, "total_steps": 1900, "loss": 0.2447366714477539, "lr": 9.669546136686524e-06, "epoch": 0.4105263157894737, "percentage": 20.53, "elapsed_time": "6:44:10", "remaining_time": "1 day, 2:04:51"}
|
| 40 |
+
{"current_steps": 400, "total_steps": 1900, "loss": 0.23937158584594725, "lr": 9.635919272833938e-06, "epoch": 0.42105263157894735, "percentage": 21.05, "elapsed_time": "6:54:27", "remaining_time": "1 day, 1:54:13"}
|
| 41 |
+
{"current_steps": 410, "total_steps": 1900, "loss": 0.2455049991607666, "lr": 9.60072770865229e-06, "epoch": 0.43157894736842106, "percentage": 21.58, "elapsed_time": "7:09:20", "remaining_time": "1 day, 2:00:16"}
|
| 42 |
+
{"current_steps": 420, "total_steps": 1900, "loss": 0.23898558616638182, "lr": 9.563983321883364e-06, "epoch": 0.4421052631578947, "percentage": 22.11, "elapsed_time": "7:19:38", "remaining_time": "1 day, 1:49:11"}
|
| 43 |
+
{"current_steps": 430, "total_steps": 1900, "loss": 0.24173569679260254, "lr": 9.525698514372552e-06, "epoch": 0.45263157894736844, "percentage": 22.63, "elapsed_time": "7:30:03", "remaining_time": "1 day, 1:38:35"}
|
| 44 |
+
{"current_steps": 440, "total_steps": 1900, "loss": 0.24136276245117189, "lr": 9.485886207883022e-06, "epoch": 0.4631578947368421, "percentage": 23.16, "elapsed_time": "7:40:17", "remaining_time": "1 day, 1:27:19"}
|
| 45 |
+
{"current_steps": 450, "total_steps": 1900, "loss": 0.2364264488220215, "lr": 9.444559839734409e-06, "epoch": 0.47368421052631576, "percentage": 23.68, "elapsed_time": "7:50:27", "remaining_time": "1 day, 1:15:56"}
|
| 46 |
+
{"current_steps": 460, "total_steps": 1900, "loss": 0.24229080677032472, "lr": 9.401733358267488e-06, "epoch": 0.4842105263157895, "percentage": 24.21, "elapsed_time": "8:00:46", "remaining_time": "1 day, 1:05:01"}
|
| 47 |
+
{"current_steps": 470, "total_steps": 1900, "loss": 0.24130649566650392, "lr": 9.357421218136387e-06, "epoch": 0.49473684210526314, "percentage": 24.74, "elapsed_time": "8:11:11", "remaining_time": "1 day, 0:54:29"}
|
| 48 |
+
{"current_steps": 480, "total_steps": 1900, "loss": 0.2403691291809082, "lr": 9.311638375429893e-06, "epoch": 0.5052631578947369, "percentage": 25.26, "elapsed_time": "8:21:33", "remaining_time": "1 day, 0:43:46"}
|
| 49 |
+
{"current_steps": 490, "total_steps": 1900, "loss": 0.2365272283554077, "lr": 9.264400282623516e-06, "epoch": 0.5157894736842106, "percentage": 25.79, "elapsed_time": "8:31:52", "remaining_time": "1 day, 0:32:56"}
|
| 50 |
+
{"current_steps": 500, "total_steps": 1900, "loss": 0.23908390998840331, "lr": 9.215722883364033e-06, "epoch": 0.5263157894736842, "percentage": 26.32, "elapsed_time": "8:42:10", "remaining_time": "1 day, 0:22:06"}
|
| 51 |
+
{"current_steps": 510, "total_steps": 1900, "loss": 0.23745298385620117, "lr": 9.16562260708823e-06, "epoch": 0.5368421052631579, "percentage": 26.84, "elapsed_time": "8:52:25", "remaining_time": "1 day, 0:11:08"}
|
| 52 |
+
{"current_steps": 520, "total_steps": 1900, "loss": 0.2358727216720581, "lr": 9.114116363477694e-06, "epoch": 0.5473684210526316, "percentage": 27.37, "elapsed_time": "9:02:37", "remaining_time": "1 day, 0:00:01"}
|
| 53 |
+
{"current_steps": 530, "total_steps": 1900, "loss": 0.23343558311462403, "lr": 9.061221536751517e-06, "epoch": 0.5578947368421052, "percentage": 27.89, "elapsed_time": "9:13:03", "remaining_time": "23:49:35"}
|
| 54 |
+
{"current_steps": 540, "total_steps": 1900, "loss": 0.23441009521484374, "lr": 9.006955979798828e-06, "epoch": 0.5684210526315789, "percentage": 28.42, "elapsed_time": "9:23:15", "remaining_time": "23:38:35"}
|
| 55 |
+
{"current_steps": 550, "total_steps": 1900, "loss": 0.23347980976104737, "lr": 8.95133800815314e-06, "epoch": 0.5789473684210527, "percentage": 28.95, "elapsed_time": "9:33:26", "remaining_time": "23:27:32"}
|
| 56 |
+
{"current_steps": 560, "total_steps": 1900, "loss": 0.23231086730957032, "lr": 8.894386393810563e-06, "epoch": 0.5894736842105263, "percentage": 29.47, "elapsed_time": "9:43:43", "remaining_time": "23:16:46"}
|
| 57 |
+
{"current_steps": 570, "total_steps": 1900, "loss": 0.23531265258789064, "lr": 8.836120358893926e-06, "epoch": 0.6, "percentage": 30.0, "elapsed_time": "9:54:02", "remaining_time": "23:06:05"}
|
| 58 |
+
{"current_steps": 580, "total_steps": 1900, "loss": 0.2358616828918457, "lr": 8.776559569165001e-06, "epoch": 0.6105263157894737, "percentage": 30.53, "elapsed_time": "10:04:19", "remaining_time": "22:55:21"}
|
| 59 |
+
{"current_steps": 590, "total_steps": 1900, "loss": 0.23333640098571778, "lr": 8.715724127386971e-06, "epoch": 0.6210526315789474, "percentage": 31.05, "elapsed_time": "10:14:36", "remaining_time": "22:44:38"}
|
| 60 |
+
{"current_steps": 600, "total_steps": 1900, "loss": 0.23344364166259765, "lr": 8.653634566539421e-06, "epoch": 0.631578947368421, "percentage": 31.58, "elapsed_time": "10:24:46", "remaining_time": "22:33:41"}
|
| 61 |
+
{"current_steps": 610, "total_steps": 1900, "loss": 0.23218798637390137, "lr": 8.590311842888101e-06, "epoch": 0.6421052631578947, "percentage": 32.11, "elapsed_time": "10:35:02", "remaining_time": "22:22:56"}
|
| 62 |
+
{"current_steps": 620, "total_steps": 1900, "loss": 0.23677759170532225, "lr": 8.525777328911846e-06, "epoch": 0.6526315789473685, "percentage": 32.63, "elapsed_time": "10:45:24", "remaining_time": "22:12:26"}
|
| 63 |
+
{"current_steps": 630, "total_steps": 1900, "loss": 0.22929840087890624, "lr": 8.460052806089e-06, "epoch": 0.6631578947368421, "percentage": 33.16, "elapsed_time": "10:55:39", "remaining_time": "22:01:43"}
|
| 64 |
+
{"current_steps": 640, "total_steps": 1900, "loss": 0.23206691741943358, "lr": 8.39316045754581e-06, "epoch": 0.6736842105263158, "percentage": 33.68, "elapsed_time": "11:06:05", "remaining_time": "21:51:22"}
|
| 65 |
+
{"current_steps": 650, "total_steps": 1900, "loss": 0.2313979148864746, "lr": 8.325122860569241e-06, "epoch": 0.6842105263157895, "percentage": 34.21, "elapsed_time": "11:16:25", "remaining_time": "21:40:49"}
|
| 66 |
+
{"current_steps": 660, "total_steps": 1900, "loss": 0.2352365255355835, "lr": 8.255962978986772e-06, "epoch": 0.6947368421052632, "percentage": 34.74, "elapsed_time": "11:26:36", "remaining_time": "21:29:59"}
|
| 67 |
+
{"current_steps": 670, "total_steps": 1900, "loss": 0.23172712326049805, "lr": 8.18570415541571e-06, "epoch": 0.7052631578947368, "percentage": 35.26, "elapsed_time": "11:37:02", "remaining_time": "21:19:38"}
|
| 68 |
+
{"current_steps": 680, "total_steps": 1900, "loss": 0.23126494884490967, "lr": 8.11437010338468e-06, "epoch": 0.7157894736842105, "percentage": 35.79, "elapsed_time": "11:47:14", "remaining_time": "21:08:52"}
|
| 69 |
+
{"current_steps": 690, "total_steps": 1900, "loss": 0.23436384201049804, "lr": 8.041984899329898e-06, "epoch": 0.7263157894736842, "percentage": 36.32, "elapsed_time": "11:57:32", "remaining_time": "20:58:17"}
|
| 70 |
+
{"current_steps": 700, "total_steps": 1900, "loss": 0.23093681335449218, "lr": 7.968572974468982e-06, "epoch": 0.7368421052631579, "percentage": 36.84, "elapsed_time": "12:07:52", "remaining_time": "20:47:46"}
|
| 71 |
+
{"current_steps": 710, "total_steps": 1900, "loss": 0.22571356296539308, "lr": 7.894159106554997e-06, "epoch": 0.7473684210526316, "percentage": 37.37, "elapsed_time": "12:18:10", "remaining_time": "20:37:13"}
|
| 72 |
+
{"current_steps": 720, "total_steps": 1900, "loss": 0.22805409431457518, "lr": 7.81876841151356e-06, "epoch": 0.7578947368421053, "percentage": 37.89, "elapsed_time": "12:28:28", "remaining_time": "20:26:40"}
|
| 73 |
+
{"current_steps": 730, "total_steps": 1900, "loss": 0.22525014877319335, "lr": 7.742426334965788e-06, "epoch": 0.7684210526315789, "percentage": 38.42, "elapsed_time": "12:38:48", "remaining_time": "20:16:09"}
|
| 74 |
+
{"current_steps": 740, "total_steps": 1900, "loss": 0.2286301612854004, "lr": 7.66515864363997e-06, "epoch": 0.7789473684210526, "percentage": 38.95, "elapsed_time": "12:49:02", "remaining_time": "20:05:30"}
|
| 75 |
+
{"current_steps": 750, "total_steps": 1900, "loss": 0.23266050815582276, "lr": 7.58699141667488e-06, "epoch": 0.7894736842105263, "percentage": 39.47, "elapsed_time": "12:59:31", "remaining_time": "19:55:16"}
|
| 76 |
+
{"current_steps": 760, "total_steps": 1900, "loss": 0.22959415912628173, "lr": 7.507951036817618e-06, "epoch": 0.8, "percentage": 40.0, "elapsed_time": "13:09:53", "remaining_time": "19:44:50"}
|
| 77 |
+
{"current_steps": 770, "total_steps": 1900, "loss": 0.2315208911895752, "lr": 7.428064181518997e-06, "epoch": 0.8105263157894737, "percentage": 40.53, "elapsed_time": "13:20:11", "remaining_time": "19:34:18"}
|
| 78 |
+
{"current_steps": 780, "total_steps": 1900, "loss": 0.22810449600219726, "lr": 7.347357813929455e-06, "epoch": 0.8210526315789474, "percentage": 41.05, "elapsed_time": "13:30:32", "remaining_time": "19:23:51"}
|
| 79 |
+
{"current_steps": 790, "total_steps": 1900, "loss": 0.22903876304626464, "lr": 7.2658591737985405e-06, "epoch": 0.8315789473684211, "percentage": 41.58, "elapsed_time": "13:40:48", "remaining_time": "19:13:17"}
|
| 80 |
+
{"current_steps": 800, "total_steps": 1900, "loss": 0.22632358074188233, "lr": 7.183595768281044e-06, "epoch": 0.8421052631578947, "percentage": 42.11, "elapsed_time": "13:51:11", "remaining_time": "19:02:53"}
|
| 81 |
+
{"current_steps": 810, "total_steps": 1900, "loss": 0.2294386386871338, "lr": 7.100595362652872e-06, "epoch": 0.8526315789473684, "percentage": 42.63, "elapsed_time": "14:05:58", "remaining_time": "18:58:24"}
|
| 82 |
+
{"current_steps": 820, "total_steps": 1900, "loss": 0.2281886577606201, "lr": 7.016885970939798e-06, "epoch": 0.8631578947368421, "percentage": 43.16, "elapsed_time": "14:16:10", "remaining_time": "18:47:38"}
|
| 83 |
+
{"current_steps": 830, "total_steps": 1900, "loss": 0.22598600387573242, "lr": 6.932495846462262e-06, "epoch": 0.8736842105263158, "percentage": 43.68, "elapsed_time": "14:26:30", "remaining_time": "18:37:04"}
|
| 84 |
+
{"current_steps": 840, "total_steps": 1900, "loss": 0.2298863410949707, "lr": 6.847453472299408e-06, "epoch": 0.8842105263157894, "percentage": 44.21, "elapsed_time": "14:36:47", "remaining_time": "18:26:25"}
|
| 85 |
+
{"current_steps": 850, "total_steps": 1900, "loss": 0.2260622501373291, "lr": 6.761787551675559e-06, "epoch": 0.8947368421052632, "percentage": 44.74, "elapsed_time": "14:47:05", "remaining_time": "18:15:49"}
|
| 86 |
+
{"current_steps": 860, "total_steps": 1900, "loss": 0.22781813144683838, "lr": 6.675526998272405e-06, "epoch": 0.9052631578947369, "percentage": 45.26, "elapsed_time": "14:57:37", "remaining_time": "18:05:29"}
|
| 87 |
+
{"current_steps": 870, "total_steps": 1900, "loss": 0.23128952980041503, "lr": 6.588700926470145e-06, "epoch": 0.9157894736842105, "percentage": 45.79, "elapsed_time": "15:07:56", "remaining_time": "17:54:55"}
|
| 88 |
+
{"current_steps": 880, "total_steps": 1900, "loss": 0.2221243143081665, "lr": 6.501338641520906e-06, "epoch": 0.9263157894736842, "percentage": 46.32, "elapsed_time": "15:18:13", "remaining_time": "17:44:18"}
|
| 89 |
+
{"current_steps": 890, "total_steps": 1900, "loss": 0.22800881862640382, "lr": 6.413469629657724e-06, "epoch": 0.9368421052631579, "percentage": 46.84, "elapsed_time": "15:28:34", "remaining_time": "17:33:46"}
|
| 90 |
+
{"current_steps": 900, "total_steps": 1900, "loss": 0.22635903358459472, "lr": 6.325123548142442e-06, "epoch": 0.9473684210526315, "percentage": 47.37, "elapsed_time": "15:38:47", "remaining_time": "17:23:06"}
|
| 91 |
+
{"current_steps": 910, "total_steps": 1900, "loss": 0.2214449405670166, "lr": 6.2363302152559004e-06, "epoch": 0.9578947368421052, "percentage": 47.89, "elapsed_time": "15:49:01", "remaining_time": "17:12:27"}
|
| 92 |
+
{"current_steps": 920, "total_steps": 1900, "loss": 0.22588553428649902, "lr": 6.147119600233758e-06, "epoch": 0.968421052631579, "percentage": 48.42, "elapsed_time": "15:59:25", "remaining_time": "17:02:00"}
|
| 93 |
+
{"current_steps": 930, "total_steps": 1900, "loss": 0.22606298923492432, "lr": 6.0575218131513795e-06, "epoch": 0.9789473684210527, "percentage": 48.95, "elapsed_time": "16:09:44", "remaining_time": "16:51:27"}
|
| 94 |
+
{"current_steps": 940, "total_steps": 1900, "loss": 0.22447419166564941, "lr": 5.967567094761173e-06, "epoch": 0.9894736842105263, "percentage": 49.47, "elapsed_time": "16:19:55", "remaining_time": "16:40:46"}
|
| 95 |
+
{"current_steps": 950, "total_steps": 1900, "loss": 0.2197559356689453, "lr": 5.8772858062858414e-06, "epoch": 1.0, "percentage": 50.0, "elapsed_time": "16:30:11", "remaining_time": "16:30:11"}
|
| 96 |
+
{"current_steps": 960, "total_steps": 1900, "loss": 0.20079433917999268, "lr": 5.786708419170955e-06, "epoch": 1.0105263157894737, "percentage": 50.53, "elapsed_time": "16:40:31", "remaining_time": "16:19:40"}
|
| 97 |
+
{"current_steps": 970, "total_steps": 1900, "loss": 0.19873998165130616, "lr": 5.695865504800328e-06, "epoch": 1.0210526315789474, "percentage": 51.05, "elapsed_time": "16:50:52", "remaining_time": "16:09:11"}
|
| 98 |
+
{"current_steps": 980, "total_steps": 1900, "loss": 0.1990882396697998, "lr": 5.604787724177666e-06, "epoch": 1.0315789473684212, "percentage": 51.58, "elapsed_time": "17:01:16", "remaining_time": "15:58:45"}
|
| 99 |
+
{"current_steps": 990, "total_steps": 1900, "loss": 0.19772762060165405, "lr": 5.513505817577966e-06, "epoch": 1.0421052631578946, "percentage": 52.11, "elapsed_time": "17:11:40", "remaining_time": "15:48:18"}
|
| 100 |
+
{"current_steps": 1000, "total_steps": 1900, "loss": 0.1970980644226074, "lr": 5.422050594172161e-06, "epoch": 1.0526315789473684, "percentage": 52.63, "elapsed_time": "17:21:57", "remaining_time": "15:37:45"}
|
| 101 |
+
{"current_steps": 1010, "total_steps": 1900, "loss": 0.19327741861343384, "lr": 5.3304529216284974e-06, "epoch": 1.063157894736842, "percentage": 53.16, "elapsed_time": "17:32:09", "remaining_time": "15:27:09"}
|
| 102 |
+
{"current_steps": 1020, "total_steps": 1900, "loss": 0.1945974588394165, "lr": 5.2387437156942e-06, "epoch": 1.0736842105263158, "percentage": 53.68, "elapsed_time": "17:42:33", "remaining_time": "15:16:43"}
|
| 103 |
+
{"current_steps": 1030, "total_steps": 1900, "loss": 0.19807915687561034, "lr": 5.146953929760873e-06, "epoch": 1.0842105263157895, "percentage": 54.21, "elapsed_time": "17:52:58", "remaining_time": "15:06:18"}
|
| 104 |
+
{"current_steps": 1040, "total_steps": 1900, "loss": 0.19381109476089478, "lr": 5.055114544417219e-06, "epoch": 1.0947368421052632, "percentage": 54.74, "elapsed_time": "18:03:21", "remaining_time": "14:55:50"}
|
| 105 |
+
{"current_steps": 1050, "total_steps": 1900, "loss": 0.19943089485168458, "lr": 4.963256556992573e-06, "epoch": 1.1052631578947367, "percentage": 55.26, "elapsed_time": "18:13:34", "remaining_time": "14:45:16"}
|
| 106 |
+
{"current_steps": 1060, "total_steps": 1900, "loss": 0.19498684406280517, "lr": 4.871410971094783e-06, "epoch": 1.1157894736842104, "percentage": 55.79, "elapsed_time": "18:23:53", "remaining_time": "14:34:46"}
|
| 107 |
+
{"current_steps": 1070, "total_steps": 1900, "loss": 0.196298086643219, "lr": 4.779608786145974e-06, "epoch": 1.1263157894736842, "percentage": 56.32, "elapsed_time": "18:34:16", "remaining_time": "14:24:20"}
|
| 108 |
+
{"current_steps": 1080, "total_steps": 1900, "loss": 0.1971622586250305, "lr": 4.687880986919725e-06, "epoch": 1.1368421052631579, "percentage": 56.84, "elapsed_time": "18:44:34", "remaining_time": "14:13:50"}
|
| 109 |
+
{"current_steps": 1090, "total_steps": 1900, "loss": 0.19794424772262573, "lr": 4.596258533083189e-06, "epoch": 1.1473684210526316, "percentage": 57.37, "elapsed_time": "18:54:51", "remaining_time": "14:03:20"}
|
| 110 |
+
{"current_steps": 1100, "total_steps": 1900, "loss": 0.19652832746505738, "lr": 4.504772348747687e-06, "epoch": 1.1578947368421053, "percentage": 57.89, "elapsed_time": "19:05:08", "remaining_time": "13:52:49"}
|
| 111 |
+
{"current_steps": 1110, "total_steps": 1900, "loss": 0.19812074899673462, "lr": 4.4134533120313015e-06, "epoch": 1.168421052631579, "percentage": 58.42, "elapsed_time": "19:15:29", "remaining_time": "13:42:22"}
|
| 112 |
+
{"current_steps": 1120, "total_steps": 1900, "loss": 0.19807214736938478, "lr": 4.322332244637e-06, "epoch": 1.1789473684210527, "percentage": 58.95, "elapsed_time": "19:25:40", "remaining_time": "13:31:48"}
|
| 113 |
+
{"current_steps": 1130, "total_steps": 1900, "loss": 0.19498560428619385, "lr": 4.231439901449788e-06, "epoch": 1.1894736842105262, "percentage": 59.47, "elapsed_time": "19:35:54", "remaining_time": "13:21:16"}
|
| 114 |
+
{"current_steps": 1140, "total_steps": 1900, "loss": 0.1961974859237671, "lr": 4.140806960156426e-06, "epoch": 1.2, "percentage": 60.0, "elapsed_time": "19:46:13", "remaining_time": "13:10:48"}
|
| 115 |
+
{"current_steps": 1150, "total_steps": 1900, "loss": 0.19537138938903809, "lr": 4.050464010891191e-06, "epoch": 1.2105263157894737, "percentage": 60.53, "elapsed_time": "19:56:30", "remaining_time": "13:00:19"}
|
| 116 |
+
{"current_steps": 1160, "total_steps": 1900, "loss": 0.19586120843887328, "lr": 3.960441545911205e-06, "epoch": 1.2210526315789474, "percentage": 61.05, "elapsed_time": "20:06:50", "remaining_time": "12:49:53"}
|
| 117 |
+
{"current_steps": 1170, "total_steps": 1900, "loss": 0.1965277910232544, "lr": 3.870769949304771e-06, "epoch": 1.231578947368421, "percentage": 61.58, "elapsed_time": "20:17:07", "remaining_time": "12:39:24"}
|
| 118 |
+
{"current_steps": 1180, "total_steps": 1900, "loss": 0.19530876874923705, "lr": 3.7814794867362563e-06, "epoch": 1.2421052631578948, "percentage": 62.11, "elapsed_time": "20:27:27", "remaining_time": "12:28:57"}
|
| 119 |
+
{"current_steps": 1190, "total_steps": 1900, "loss": 0.19631469249725342, "lr": 3.6926002952309015e-06, "epoch": 1.2526315789473683, "percentage": 62.63, "elapsed_time": "20:37:43", "remaining_time": "12:18:28"}
|
| 120 |
+
{"current_steps": 1200, "total_steps": 1900, "loss": 0.19450459480285645, "lr": 3.6041623730030908e-06, "epoch": 1.263157894736842, "percentage": 63.16, "elapsed_time": "20:48:03", "remaining_time": "12:08:02"}
|
| 121 |
+
{"current_steps": 1210, "total_steps": 1900, "loss": 0.19371691942214966, "lr": 3.5161955693314353e-06, "epoch": 1.2736842105263158, "percentage": 63.68, "elapsed_time": "21:02:42", "remaining_time": "12:00:03"}
|
| 122 |
+
{"current_steps": 1220, "total_steps": 1900, "loss": 0.1941887617111206, "lr": 3.4287295744841588e-06, "epoch": 1.2842105263157895, "percentage": 64.21, "elapsed_time": "21:13:01", "remaining_time": "11:49:33"}
|
| 123 |
+
{"current_steps": 1230, "total_steps": 1900, "loss": 0.19797197580337525, "lr": 3.3417939096981154e-06, "epoch": 1.2947368421052632, "percentage": 64.74, "elapsed_time": "21:23:15", "remaining_time": "11:39:00"}
|
| 124 |
+
{"current_steps": 1240, "total_steps": 1900, "loss": 0.1957828402519226, "lr": 3.2554179172149027e-06, "epoch": 1.305263157894737, "percentage": 65.26, "elapsed_time": "21:33:32", "remaining_time": "11:28:29"}
|
| 125 |
+
{"current_steps": 1250, "total_steps": 1900, "loss": 0.19575778245925904, "lr": 3.169630750377337e-06, "epoch": 1.3157894736842106, "percentage": 65.79, "elapsed_time": "21:44:01", "remaining_time": "11:18:05"}
|
| 126 |
+
{"current_steps": 1260, "total_steps": 1900, "loss": 0.19117907285690308, "lr": 3.084461363789739e-06, "epoch": 1.3263157894736843, "percentage": 66.32, "elapsed_time": "21:54:15", "remaining_time": "11:07:33"}
|
| 127 |
+
{"current_steps": 1270, "total_steps": 1900, "loss": 0.1925075888633728, "lr": 2.9999385035452477e-06, "epoch": 1.3368421052631578, "percentage": 66.84, "elapsed_time": "22:04:40", "remaining_time": "10:57:07"}
|
| 128 |
+
{"current_steps": 1280, "total_steps": 1900, "loss": 0.1946537733078003, "lr": 2.9160906975235493e-06, "epoch": 1.3473684210526315, "percentage": 67.37, "elapsed_time": "22:14:55", "remaining_time": "10:46:36"}
|
| 129 |
+
{"current_steps": 1290, "total_steps": 1900, "loss": 0.19421722888946533, "lr": 2.8329462457622263e-06, "epoch": 1.3578947368421053, "percentage": 67.89, "elapsed_time": "22:25:10", "remaining_time": "10:36:05"}
|
| 130 |
+
{"current_steps": 1300, "total_steps": 1900, "loss": 0.19339181184768678, "lr": 2.750533210905042e-06, "epoch": 1.368421052631579, "percentage": 68.42, "elapsed_time": "22:35:32", "remaining_time": "10:25:37"}
|
| 131 |
+
{"current_steps": 1310, "total_steps": 1900, "loss": 0.19271748065948485, "lr": 2.6688794087302993e-06, "epoch": 1.3789473684210527, "percentage": 68.95, "elapsed_time": "22:45:57", "remaining_time": "10:15:11"}
|
| 132 |
+
{"current_steps": 1320, "total_steps": 1900, "loss": 0.19885480403900146, "lr": 2.588012398762578e-06, "epoch": 1.3894736842105262, "percentage": 69.47, "elapsed_time": "22:56:13", "remaining_time": "10:04:42"}
|
| 133 |
+
{"current_steps": 1330, "total_steps": 1900, "loss": 0.19349191188812256, "lr": 2.507959474970918e-06, "epoch": 1.4, "percentage": 70.0, "elapsed_time": "23:06:30", "remaining_time": "9:54:13"}
|
| 134 |
+
{"current_steps": 1340, "total_steps": 1900, "loss": 0.19752376079559325, "lr": 2.4287476565566525e-06, "epoch": 1.4105263157894736, "percentage": 70.53, "elapsed_time": "23:16:46", "remaining_time": "9:43:43"}
|
| 135 |
+
{"current_steps": 1350, "total_steps": 1900, "loss": 0.193558669090271, "lr": 2.3504036788339763e-06, "epoch": 1.4210526315789473, "percentage": 71.05, "elapsed_time": "23:27:08", "remaining_time": "9:33:16"}
|
| 136 |
+
{"current_steps": 1360, "total_steps": 1900, "loss": 0.19095768928527831, "lr": 2.2729539842063275e-06, "epoch": 1.431578947368421, "percentage": 71.58, "elapsed_time": "23:37:27", "remaining_time": "9:22:48"}
|
| 137 |
+
{"current_steps": 1370, "total_steps": 1900, "loss": 0.1918013334274292, "lr": 2.1964247132416373e-06, "epoch": 1.4421052631578948, "percentage": 72.11, "elapsed_time": "23:47:47", "remaining_time": "9:12:21"}
|
| 138 |
+
{"current_steps": 1380, "total_steps": 1900, "loss": 0.19151101112365723, "lr": 2.1208416958494472e-06, "epoch": 1.4526315789473685, "percentage": 72.63, "elapsed_time": "23:58:06", "remaining_time": "9:01:53"}
|
| 139 |
+
{"current_steps": 1390, "total_steps": 1900, "loss": 0.19104468822479248, "lr": 2.0462304425628836e-06, "epoch": 1.4631578947368422, "percentage": 73.16, "elapsed_time": "1 day, 0:08:21", "remaining_time": "8:51:24"}
|
| 140 |
+
{"current_steps": 1400, "total_steps": 1900, "loss": 0.1942047357559204, "lr": 1.9726161359284283e-06, "epoch": 1.4736842105263157, "percentage": 73.68, "elapsed_time": "1 day, 0:18:39", "remaining_time": "8:40:56"}
|
| 141 |
+
{"current_steps": 1410, "total_steps": 1900, "loss": 0.19348801374435426, "lr": 1.900023622006385e-06, "epoch": 1.4842105263157894, "percentage": 74.21, "elapsed_time": "1 day, 0:28:57", "remaining_time": "8:30:29"}
|
| 142 |
+
{"current_steps": 1420, "total_steps": 1900, "loss": 0.1932326078414917, "lr": 1.8284774019849176e-06, "epoch": 1.4947368421052631, "percentage": 74.74, "elapsed_time": "1 day, 0:39:14", "remaining_time": "8:20:01"}
|
| 143 |
+
{"current_steps": 1430, "total_steps": 1900, "loss": 0.19303900003433228, "lr": 1.7580016239104924e-06, "epoch": 1.5052631578947369, "percentage": 75.26, "elapsed_time": "1 day, 0:49:28", "remaining_time": "8:09:32"}
|
| 144 |
+
{"current_steps": 1440, "total_steps": 1900, "loss": 0.19279847145080567, "lr": 1.688620074537506e-06, "epoch": 1.5157894736842106, "percentage": 75.79, "elapsed_time": "1 day, 0:59:45", "remaining_time": "7:59:05"}
|
| 145 |
+
{"current_steps": 1450, "total_steps": 1900, "loss": 0.19080493450164795, "lr": 1.6203561712998561e-06, "epoch": 1.526315789473684, "percentage": 76.32, "elapsed_time": "1 day, 1:10:06", "remaining_time": "7:48:39"}
|
| 146 |
+
{"current_steps": 1460, "total_steps": 1900, "loss": 0.19115395545959474, "lr": 1.5532329544071712e-06, "epoch": 1.5368421052631578, "percentage": 76.84, "elapsed_time": "1 day, 1:20:25", "remaining_time": "7:38:12"}
|
| 147 |
+
{"current_steps": 1470, "total_steps": 1900, "loss": 0.18951849937438964, "lr": 1.4872730790683488e-06, "epoch": 1.5473684210526315, "percentage": 77.37, "elapsed_time": "1 day, 1:30:48", "remaining_time": "7:27:47"}
|
| 148 |
+
{"current_steps": 1480, "total_steps": 1900, "loss": 0.19606926441192626, "lr": 1.4224988078450453e-06, "epoch": 1.5578947368421052, "percentage": 77.89, "elapsed_time": "1 day, 1:41:08", "remaining_time": "7:17:21"}
|
| 149 |
+
{"current_steps": 1490, "total_steps": 1900, "loss": 0.19073886871337892, "lr": 1.35893200313769e-06, "epoch": 1.568421052631579, "percentage": 78.42, "elapsed_time": "1 day, 1:51:25", "remaining_time": "7:06:54"}
|
| 150 |
+
{"current_steps": 1500, "total_steps": 1900, "loss": 0.19378194808959961, "lr": 1.2965941198065568e-06, "epoch": 1.5789473684210527, "percentage": 78.95, "elapsed_time": "1 day, 2:01:50", "remaining_time": "6:56:29"}
|
| 151 |
+
{"current_steps": 1510, "total_steps": 1900, "loss": 0.19598268270492553, "lr": 1.2355061979303922e-06, "epoch": 1.5894736842105264, "percentage": 79.47, "elapsed_time": "1 day, 2:12:10", "remaining_time": "6:46:03"}
|
| 152 |
+
{"current_steps": 1520, "total_steps": 1900, "loss": 0.19359974861145018, "lr": 1.1756888557050356e-06, "epoch": 1.6, "percentage": 80.0, "elapsed_time": "1 day, 2:22:31", "remaining_time": "6:35:37"}
|
| 153 |
+
{"current_steps": 1530, "total_steps": 1900, "loss": 0.19317302703857422, "lr": 1.1171622824844324e-06, "epoch": 1.6105263157894738, "percentage": 80.53, "elapsed_time": "1 day, 2:32:55", "remaining_time": "6:25:13"}
|
| 154 |
+
{"current_steps": 1540, "total_steps": 1900, "loss": 0.19234857559204102, "lr": 1.0599462319663906e-06, "epoch": 1.6210526315789475, "percentage": 81.05, "elapsed_time": "1 day, 2:43:17", "remaining_time": "6:14:47"}
|
| 155 |
+
{"current_steps": 1550, "total_steps": 1900, "loss": 0.19029581546783447, "lr": 1.0040600155253766e-06, "epoch": 1.631578947368421, "percentage": 81.58, "elapsed_time": "1 day, 2:53:35", "remaining_time": "6:04:21"}
|
| 156 |
+
{"current_steps": 1560, "total_steps": 1900, "loss": 0.191664981842041, "lr": 9.495224956946031e-07, "epoch": 1.6421052631578947, "percentage": 82.11, "elapsed_time": "1 day, 3:03:49", "remaining_time": "5:53:54"}
|
| 157 |
+
{"current_steps": 1570, "total_steps": 1900, "loss": 0.19490841627120972, "lr": 8.963520797996078e-07, "epoch": 1.6526315789473685, "percentage": 82.63, "elapsed_time": "1 day, 3:14:08", "remaining_time": "5:43:28"}
|
| 158 |
+
{"current_steps": 1580, "total_steps": 1900, "loss": 0.19349515438079834, "lr": 8.44566713745476e-07, "epoch": 1.663157894736842, "percentage": 83.16, "elapsed_time": "1 day, 3:24:36", "remaining_time": "5:33:05"}
|
| 159 |
+
{"current_steps": 1590, "total_steps": 1900, "loss": 0.19110431671142578, "lr": 7.941838759597931e-07, "epoch": 1.6736842105263157, "percentage": 83.68, "elapsed_time": "1 day, 3:34:56", "remaining_time": "5:22:39"}
|
| 160 |
+
{"current_steps": 1600, "total_steps": 1900, "loss": 0.18870527744293214, "lr": 7.452205714933864e-07, "epoch": 1.6842105263157894, "percentage": 84.21, "elapsed_time": "1 day, 3:45:10", "remaining_time": "5:12:13"}
|
| 161 |
+
{"current_steps": 1610, "total_steps": 1900, "loss": 0.18972678184509278, "lr": 6.976933262808322e-07, "epoch": 1.694736842105263, "percentage": 84.74, "elapsed_time": "1 day, 3:59:35", "remaining_time": "5:02:32"}
|
| 162 |
+
{"current_steps": 1620, "total_steps": 1900, "loss": 0.19125382900238036, "lr": 6.516181815626809e-07, "epoch": 1.7052631578947368, "percentage": 85.26, "elapsed_time": "1 day, 4:09:53", "remaining_time": "4:52:04"}
|
| 163 |
+
{"current_steps": 1630, "total_steps": 1900, "loss": 0.19123988151550292, "lr": 6.070106884712668e-07, "epoch": 1.7157894736842105, "percentage": 85.79, "elapsed_time": "1 day, 4:20:17", "remaining_time": "4:41:38"}
|
| 164 |
+
{"current_steps": 1640, "total_steps": 1900, "loss": 0.19295673370361327, "lr": 5.63885902781941e-07, "epoch": 1.7263157894736842, "percentage": 86.32, "elapsed_time": "1 day, 4:30:37", "remaining_time": "4:31:11"}
|
| 165 |
+
{"current_steps": 1650, "total_steps": 1900, "loss": 0.18839049339294434, "lr": 5.222583798314962e-07, "epoch": 1.736842105263158, "percentage": 86.84, "elapsed_time": "1 day, 4:40:52", "remaining_time": "4:20:44"}
|
| 166 |
+
{"current_steps": 1660, "total_steps": 1900, "loss": 0.1891610026359558, "lr": 4.821421696054957e-07, "epoch": 1.7473684210526317, "percentage": 87.37, "elapsed_time": "1 day, 4:51:03", "remaining_time": "4:10:16"}
|
| 167 |
+
{"current_steps": 1670, "total_steps": 1900, "loss": 0.1917852282524109, "lr": 4.435508119961701e-07, "epoch": 1.7578947368421054, "percentage": 87.89, "elapsed_time": "1 day, 5:01:22", "remaining_time": "3:59:49"}
|
| 168 |
+
{"current_steps": 1680, "total_steps": 1900, "loss": 0.19248172044754028, "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": 0.1919580340385437, "lr": 3.709942364838598e-07, "epoch": 1.7789473684210526, "percentage": 88.95, "elapsed_time": "1 day, 5:21:53", "remaining_time": "3:38:56"}
|
| 170 |
+
{"current_steps": 1700, "total_steps": 1900, "loss": 0.19042977094650268, "lr": 3.370535076392256e-07, "epoch": 1.7894736842105263, "percentage": 89.47, "elapsed_time": "1 day, 5:32:14", "remaining_time": "3:28:29"}
|
| 171 |
+
{"current_steps": 1710, "total_steps": 1900, "loss": 0.19088363647460938, "lr": 3.046866012624999e-07, "epoch": 1.8, "percentage": 90.0, "elapsed_time": "1 day, 5:42:34", "remaining_time": "3:18:03"}
|
| 172 |
+
{"current_steps": 1720, "total_steps": 1900, "loss": 0.1913079023361206, "lr": 2.73904441726191e-07, "epoch": 1.8105263157894735, "percentage": 90.53, "elapsed_time": "1 day, 5:52:46", "remaining_time": "3:07:36"}
|
| 173 |
+
{"current_steps": 1730, "total_steps": 1900, "loss": 0.19013372659683228, "lr": 2.447174185242324e-07, "epoch": 1.8210526315789473, "percentage": 91.05, "elapsed_time": "1 day, 6:03:02", "remaining_time": "2:57:10"}
|
| 174 |
+
{"current_steps": 1740, "total_steps": 1900, "loss": 0.1948431372642517, "lr": 2.1713538276535052e-07, "epoch": 1.831578947368421, "percentage": 91.58, "elapsed_time": "1 day, 6:13:21", "remaining_time": "2:46:44"}
|
| 175 |
+
{"current_steps": 1750, "total_steps": 1900, "loss": 0.19003885984420776, "lr": 1.9116764384815467e-07, "epoch": 1.8421052631578947, "percentage": 92.11, "elapsed_time": "1 day, 6:23:39", "remaining_time": "2:36:18"}
|
| 176 |
+
{"current_steps": 1760, "total_steps": 1900, "loss": 0.19080986976623535, "lr": 1.6682296631905626e-07, "epoch": 1.8526315789473684, "percentage": 92.63, "elapsed_time": "1 day, 6:33:54", "remaining_time": "2:25:52"}
|
| 177 |
+
{"current_steps": 1770, "total_steps": 1900, "loss": 0.19152488708496093, "lr": 1.441095669140896e-07, "epoch": 1.8631578947368421, "percentage": 93.16, "elapsed_time": "1 day, 6:44:09", "remaining_time": "2:15:26"}
|
| 178 |
+
{"current_steps": 1780, "total_steps": 1900, "loss": 0.19242886304855347, "lr": 1.2303511178562544e-07, "epoch": 1.8736842105263158, "percentage": 93.68, "elapsed_time": "1 day, 6:54:25", "remaining_time": "2:05:01"}
|
| 179 |
+
{"current_steps": 1790, "total_steps": 1900, "loss": 0.19022092819213868, "lr": 1.0360671391491606e-07, "epoch": 1.8842105263157896, "percentage": 94.21, "elapsed_time": "1 day, 7:04:39", "remaining_time": "1:54:35"}
|
| 180 |
+
{"current_steps": 1800, "total_steps": 1900, "loss": 0.19063401222229004, "lr": 8.583093071134473e-08, "epoch": 1.8947368421052633, "percentage": 94.74, "elapsed_time": "1 day, 7:14:54", "remaining_time": "1:44:09"}
|
| 181 |
+
{"current_steps": 1810, "total_steps": 1900, "loss": 0.1912980318069458, "lr": 6.971376179919109e-08, "epoch": 1.905263157894737, "percentage": 95.26, "elapsed_time": "1 day, 7:25:12", "remaining_time": "1:33:44"}
|
| 182 |
+
{"current_steps": 1820, "total_steps": 1900, "loss": 0.19353299140930175, "lr": 5.526064699265754e-08, "epoch": 1.9157894736842105, "percentage": 95.79, "elapsed_time": "1 day, 7:35:26", "remaining_time": "1:23:18"}
|
| 183 |
+
{"current_steps": 1830, "total_steps": 1900, "loss": 0.1892704486846924, "lr": 4.247646445984077e-08, "epoch": 1.9263157894736842, "percentage": 96.32, "elapsed_time": "1 day, 7:45:45", "remaining_time": "1:12:53"}
|
| 184 |
+
{"current_steps": 1840, "total_steps": 1900, "loss": 0.1912303924560547, "lr": 3.136552907626711e-08, "epoch": 1.936842105263158, "percentage": 96.84, "elapsed_time": "1 day, 7:56:00", "remaining_time": "1:02:28"}
|
| 185 |
+
{"current_steps": 1850, "total_steps": 1900, "loss": 0.19108378887176514, "lr": 2.193159096855191e-08, "epoch": 1.9473684210526314, "percentage": 97.37, "elapsed_time": "1 day, 8:06:14", "remaining_time": "0:52:03"}
|
| 186 |
+
{"current_steps": 1860, "total_steps": 1900, "loss": 0.18866654634475707, "lr": 1.4177834248668144e-08, "epoch": 1.9578947368421051, "percentage": 97.89, "elapsed_time": "1 day, 8:16:36", "remaining_time": "0:41:38"}
|
| 187 |
+
{"current_steps": 1870, "total_steps": 1900, "loss": 0.18910012245178223, "lr": 8.106875939254966e-09, "epoch": 1.9684210526315788, "percentage": 98.42, "elapsed_time": "1 day, 8:26:54", "remaining_time": "0:31:14"}
|
| 188 |
+
{"current_steps": 1880, "total_steps": 1900, "loss": 0.1887919306755066, "lr": 3.7207650903298143e-09, "epoch": 1.9789473684210526, "percentage": 98.95, "elapsed_time": "1 day, 8:37:11", "remaining_time": "0:20:49"}
|
| 189 |
+
{"current_steps": 1890, "total_steps": 1900, "loss": 0.19265508651733398, "lr": 1.0209820876977416e-09, "epoch": 1.9894736842105263, "percentage": 99.47, "elapsed_time": "1 day, 8:47:31", "remaining_time": "0:10:24"}
|
| 190 |
+
{"current_steps": 1900, "total_steps": 1900, "loss": 0.19035093784332274, "lr": 8.438153299428209e-12, "epoch": 2.0, "percentage": 100.0, "elapsed_time": "1 day, 8:57:54", "remaining_time": "0:00:00"}
|
| 191 |
+
{"current_steps": 1900, "total_steps": 1900, "epoch": 2.0, "percentage": 100.0, "elapsed_time": "1 day, 9:02:07", "remaining_time": "0:00:00"}
|
designcoder_qwen3.6_27b_adamw_bs32_step1900/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": 1.6949567598193798,
|
| 15 |
+
"learning_rate": 4.7368421052631585e-07,
|
| 16 |
+
"loss": 0.4388401031494141,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.021052631578947368,
|
| 21 |
+
"grad_norm": 0.756002970691595,
|
| 22 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 23 |
+
"loss": 0.4183960437774658,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.031578947368421054,
|
| 28 |
+
"grad_norm": 0.9072988395353323,
|
| 29 |
+
"learning_rate": 1.5263157894736844e-06,
|
| 30 |
+
"loss": 0.38854973316192626,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.042105263157894736,
|
| 35 |
+
"grad_norm": 0.5544283352548903,
|
| 36 |
+
"learning_rate": 2.0526315789473687e-06,
|
| 37 |
+
"loss": 0.3483220100402832,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.05263157894736842,
|
| 42 |
+
"grad_norm": 0.520264704852871,
|
| 43 |
+
"learning_rate": 2.578947368421053e-06,
|
| 44 |
+
"loss": 0.33406953811645507,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.06315789473684211,
|
| 49 |
+
"grad_norm": 0.5405657517146996,
|
| 50 |
+
"learning_rate": 3.1052631578947372e-06,
|
| 51 |
+
"loss": 0.32456417083740235,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.07368421052631578,
|
| 56 |
+
"grad_norm": 0.5644259152760627,
|
| 57 |
+
"learning_rate": 3.6315789473684217e-06,
|
| 58 |
+
"loss": 0.3070519924163818,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.08421052631578947,
|
| 63 |
+
"grad_norm": 0.5331773174118546,
|
| 64 |
+
"learning_rate": 4.157894736842106e-06,
|
| 65 |
+
"loss": 0.29668684005737306,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.09473684210526316,
|
| 70 |
+
"grad_norm": 0.3905262765694168,
|
| 71 |
+
"learning_rate": 4.68421052631579e-06,
|
| 72 |
+
"loss": 0.29548063278198244,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.10526315789473684,
|
| 77 |
+
"grad_norm": 0.7574575956985987,
|
| 78 |
+
"learning_rate": 5.210526315789474e-06,
|
| 79 |
+
"loss": 0.2848931312561035,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.11578947368421053,
|
| 84 |
+
"grad_norm": 0.43299540617174326,
|
| 85 |
+
"learning_rate": 5.736842105263158e-06,
|
| 86 |
+
"loss": 0.28335020542144773,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.12631578947368421,
|
| 91 |
+
"grad_norm": 0.47754303710905777,
|
| 92 |
+
"learning_rate": 6.263157894736842e-06,
|
| 93 |
+
"loss": 0.2776665687561035,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.1368421052631579,
|
| 98 |
+
"grad_norm": 0.43233917503045716,
|
| 99 |
+
"learning_rate": 6.789473684210527e-06,
|
| 100 |
+
"loss": 0.2700735807418823,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.14736842105263157,
|
| 105 |
+
"grad_norm": 0.3910634820510061,
|
| 106 |
+
"learning_rate": 7.315789473684212e-06,
|
| 107 |
+
"loss": 0.2710584163665771,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.15789473684210525,
|
| 112 |
+
"grad_norm": 0.4187584981967182,
|
| 113 |
+
"learning_rate": 7.842105263157895e-06,
|
| 114 |
+
"loss": 0.26728742122650145,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.16842105263157894,
|
| 119 |
+
"grad_norm": 0.4495180362413346,
|
| 120 |
+
"learning_rate": 8.36842105263158e-06,
|
| 121 |
+
"loss": 0.2700555086135864,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.17894736842105263,
|
| 126 |
+
"grad_norm": 0.4223236131556872,
|
| 127 |
+
"learning_rate": 8.894736842105264e-06,
|
| 128 |
+
"loss": 0.26561133861541747,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.18947368421052632,
|
| 133 |
+
"grad_norm": 0.42596808046758133,
|
| 134 |
+
"learning_rate": 9.421052631578949e-06,
|
| 135 |
+
"loss": 0.26897881031036375,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.2,
|
| 140 |
+
"grad_norm": 0.38608269778068294,
|
| 141 |
+
"learning_rate": 9.947368421052632e-06,
|
| 142 |
+
"loss": 0.2614171504974365,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.21052631578947367,
|
| 147 |
+
"grad_norm": 0.3444907438310762,
|
| 148 |
+
"learning_rate": 9.999316524962347e-06,
|
| 149 |
+
"loss": 0.2577904939651489,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.22105263157894736,
|
| 154 |
+
"grad_norm": 0.3538014164162832,
|
| 155 |
+
"learning_rate": 9.99695413509548e-06,
|
| 156 |
+
"loss": 0.26322250366210936,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.23157894736842105,
|
| 161 |
+
"grad_norm": 0.48658674431185517,
|
| 162 |
+
"learning_rate": 9.992905189592214e-06,
|
| 163 |
+
"loss": 0.2607301712036133,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.24210526315789474,
|
| 168 |
+
"grad_norm": 0.3498399240250527,
|
| 169 |
+
"learning_rate": 9.987171055039409e-06,
|
| 170 |
+
"loss": 0.25898401737213134,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.25263157894736843,
|
| 175 |
+
"grad_norm": 0.3450590807486592,
|
| 176 |
+
"learning_rate": 9.979753666803427e-06,
|
| 177 |
+
"loss": 0.2562272548675537,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.2631578947368421,
|
| 182 |
+
"grad_norm": 0.43469236602824524,
|
| 183 |
+
"learning_rate": 9.970655528376914e-06,
|
| 184 |
+
"loss": 0.2564618349075317,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.2736842105263158,
|
| 189 |
+
"grad_norm": 0.40679294491434415,
|
| 190 |
+
"learning_rate": 9.959879710533835e-06,
|
| 191 |
+
"loss": 0.25131793022155763,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.28421052631578947,
|
| 196 |
+
"grad_norm": 0.3661339080268203,
|
| 197 |
+
"learning_rate": 9.947429850293025e-06,
|
| 198 |
+
"loss": 0.2504633188247681,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.29473684210526313,
|
| 203 |
+
"grad_norm": 0.3890640109523643,
|
| 204 |
+
"learning_rate": 9.933310149690643e-06,
|
| 205 |
+
"loss": 0.2474229335784912,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.30526315789473685,
|
| 210 |
+
"grad_norm": 0.31855953312334573,
|
| 211 |
+
"learning_rate": 9.917525374361913e-06,
|
| 212 |
+
"loss": 0.25400705337524415,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.3157894736842105,
|
| 217 |
+
"grad_norm": 0.30225861603862736,
|
| 218 |
+
"learning_rate": 9.90008085193264e-06,
|
| 219 |
+
"loss": 0.2480471611022949,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.3263157894736842,
|
| 224 |
+
"grad_norm": 0.3542937541765787,
|
| 225 |
+
"learning_rate": 9.880982470221052e-06,
|
| 226 |
+
"loss": 0.2479090929031372,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.3368421052631579,
|
| 231 |
+
"grad_norm": 0.36418329315036946,
|
| 232 |
+
"learning_rate": 9.860236675250553e-06,
|
| 233 |
+
"loss": 0.24546539783477783,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.3473684210526316,
|
| 238 |
+
"grad_norm": 0.29065716897569194,
|
| 239 |
+
"learning_rate": 9.837850469074094e-06,
|
| 240 |
+
"loss": 0.24873201847076415,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.35789473684210527,
|
| 245 |
+
"grad_norm": 0.32924392850894435,
|
| 246 |
+
"learning_rate": 9.813831407410856e-06,
|
| 247 |
+
"loss": 0.24970860481262208,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.3684210526315789,
|
| 252 |
+
"grad_norm": 0.7501127965996632,
|
| 253 |
+
"learning_rate": 9.78818759709607e-06,
|
| 254 |
+
"loss": 0.245141863822937,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.37894736842105264,
|
| 259 |
+
"grad_norm": 0.3548165852707428,
|
| 260 |
+
"learning_rate": 9.760927693344823e-06,
|
| 261 |
+
"loss": 0.2431349754333496,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.3894736842105263,
|
| 266 |
+
"grad_norm": 0.4379710449315151,
|
| 267 |
+
"learning_rate": 9.732060896830782e-06,
|
| 268 |
+
"loss": 0.24647700786590576,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.4,
|
| 273 |
+
"grad_norm": 0.37634440780693273,
|
| 274 |
+
"learning_rate": 9.701596950580807e-06,
|
| 275 |
+
"loss": 0.2424950122833252,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.4105263157894737,
|
| 280 |
+
"grad_norm": 0.31603489063948853,
|
| 281 |
+
"learning_rate": 9.669546136686524e-06,
|
| 282 |
+
"loss": 0.2447366714477539,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.42105263157894735,
|
| 287 |
+
"grad_norm": 0.29347739119282656,
|
| 288 |
+
"learning_rate": 9.635919272833938e-06,
|
| 289 |
+
"loss": 0.23937158584594725,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.43157894736842106,
|
| 294 |
+
"grad_norm": 0.3162434059552115,
|
| 295 |
+
"learning_rate": 9.60072770865229e-06,
|
| 296 |
+
"loss": 0.2455049991607666,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.4421052631578947,
|
| 301 |
+
"grad_norm": 0.46537636224353,
|
| 302 |
+
"learning_rate": 9.563983321883364e-06,
|
| 303 |
+
"loss": 0.23898558616638182,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.45263157894736844,
|
| 308 |
+
"grad_norm": 0.2881275886729079,
|
| 309 |
+
"learning_rate": 9.525698514372552e-06,
|
| 310 |
+
"loss": 0.24173569679260254,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.4631578947368421,
|
| 315 |
+
"grad_norm": 0.34736748750266694,
|
| 316 |
+
"learning_rate": 9.485886207883022e-06,
|
| 317 |
+
"loss": 0.24136276245117189,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.47368421052631576,
|
| 322 |
+
"grad_norm": 0.33362815664476564,
|
| 323 |
+
"learning_rate": 9.444559839734409e-06,
|
| 324 |
+
"loss": 0.2364264488220215,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.4842105263157895,
|
| 329 |
+
"grad_norm": 0.4443388140897583,
|
| 330 |
+
"learning_rate": 9.401733358267488e-06,
|
| 331 |
+
"loss": 0.24229080677032472,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.49473684210526314,
|
| 336 |
+
"grad_norm": 0.30770981031452727,
|
| 337 |
+
"learning_rate": 9.357421218136387e-06,
|
| 338 |
+
"loss": 0.24130649566650392,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.5052631578947369,
|
| 343 |
+
"grad_norm": 0.2947389558222276,
|
| 344 |
+
"learning_rate": 9.311638375429893e-06,
|
| 345 |
+
"loss": 0.2403691291809082,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.5157894736842106,
|
| 350 |
+
"grad_norm": 0.3262903246978166,
|
| 351 |
+
"learning_rate": 9.264400282623516e-06,
|
| 352 |
+
"loss": 0.2365272283554077,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.5263157894736842,
|
| 357 |
+
"grad_norm": 0.30813282416443233,
|
| 358 |
+
"learning_rate": 9.215722883364033e-06,
|
| 359 |
+
"loss": 0.23908390998840331,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.5368421052631579,
|
| 364 |
+
"grad_norm": 0.31466160625324796,
|
| 365 |
+
"learning_rate": 9.16562260708823e-06,
|
| 366 |
+
"loss": 0.23745298385620117,
|
| 367 |
+
"step": 510
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.5473684210526316,
|
| 371 |
+
"grad_norm": 0.32367830045436335,
|
| 372 |
+
"learning_rate": 9.114116363477694e-06,
|
| 373 |
+
"loss": 0.2358727216720581,
|
| 374 |
+
"step": 520
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.5578947368421052,
|
| 378 |
+
"grad_norm": 0.5155028993822577,
|
| 379 |
+
"learning_rate": 9.061221536751517e-06,
|
| 380 |
+
"loss": 0.23343558311462403,
|
| 381 |
+
"step": 530
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.5684210526315789,
|
| 385 |
+
"grad_norm": 0.3395868996949826,
|
| 386 |
+
"learning_rate": 9.006955979798828e-06,
|
| 387 |
+
"loss": 0.23441009521484374,
|
| 388 |
+
"step": 540
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.5789473684210527,
|
| 392 |
+
"grad_norm": 0.37806752292718226,
|
| 393 |
+
"learning_rate": 8.95133800815314e-06,
|
| 394 |
+
"loss": 0.23347980976104737,
|
| 395 |
+
"step": 550
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.5894736842105263,
|
| 399 |
+
"grad_norm": 0.36020099168395064,
|
| 400 |
+
"learning_rate": 8.894386393810563e-06,
|
| 401 |
+
"loss": 0.23231086730957032,
|
| 402 |
+
"step": 560
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.6,
|
| 406 |
+
"grad_norm": 0.39022532439559127,
|
| 407 |
+
"learning_rate": 8.836120358893926e-06,
|
| 408 |
+
"loss": 0.23531265258789064,
|
| 409 |
+
"step": 570
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.6105263157894737,
|
| 413 |
+
"grad_norm": 0.32491205400915674,
|
| 414 |
+
"learning_rate": 8.776559569165001e-06,
|
| 415 |
+
"loss": 0.2358616828918457,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.6210526315789474,
|
| 420 |
+
"grad_norm": 0.2887205983066143,
|
| 421 |
+
"learning_rate": 8.715724127386971e-06,
|
| 422 |
+
"loss": 0.23333640098571778,
|
| 423 |
+
"step": 590
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.631578947368421,
|
| 427 |
+
"grad_norm": 0.3329780326383304,
|
| 428 |
+
"learning_rate": 8.653634566539421e-06,
|
| 429 |
+
"loss": 0.23344364166259765,
|
| 430 |
+
"step": 600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.6421052631578947,
|
| 434 |
+
"grad_norm": 0.282502527371802,
|
| 435 |
+
"learning_rate": 8.590311842888101e-06,
|
| 436 |
+
"loss": 0.23218798637390137,
|
| 437 |
+
"step": 610
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.6526315789473685,
|
| 441 |
+
"grad_norm": 0.30620691345168477,
|
| 442 |
+
"learning_rate": 8.525777328911846e-06,
|
| 443 |
+
"loss": 0.23677759170532225,
|
| 444 |
+
"step": 620
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.6631578947368421,
|
| 448 |
+
"grad_norm": 0.3336572125624594,
|
| 449 |
+
"learning_rate": 8.460052806089e-06,
|
| 450 |
+
"loss": 0.22929840087890624,
|
| 451 |
+
"step": 630
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.6736842105263158,
|
| 455 |
+
"grad_norm": 0.3012022457952689,
|
| 456 |
+
"learning_rate": 8.39316045754581e-06,
|
| 457 |
+
"loss": 0.23206691741943358,
|
| 458 |
+
"step": 640
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.6842105263157895,
|
| 462 |
+
"grad_norm": 0.3253508735916598,
|
| 463 |
+
"learning_rate": 8.325122860569241e-06,
|
| 464 |
+
"loss": 0.2313979148864746,
|
| 465 |
+
"step": 650
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.6947368421052632,
|
| 469 |
+
"grad_norm": 0.29034969353461343,
|
| 470 |
+
"learning_rate": 8.255962978986772e-06,
|
| 471 |
+
"loss": 0.2352365255355835,
|
| 472 |
+
"step": 660
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.7052631578947368,
|
| 476 |
+
"grad_norm": 0.29352492599201396,
|
| 477 |
+
"learning_rate": 8.18570415541571e-06,
|
| 478 |
+
"loss": 0.23172712326049805,
|
| 479 |
+
"step": 670
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.7157894736842105,
|
| 483 |
+
"grad_norm": 0.2936356749917356,
|
| 484 |
+
"learning_rate": 8.11437010338468e-06,
|
| 485 |
+
"loss": 0.23126494884490967,
|
| 486 |
+
"step": 680
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.7263157894736842,
|
| 490 |
+
"grad_norm": 0.3040365759458713,
|
| 491 |
+
"learning_rate": 8.041984899329898e-06,
|
| 492 |
+
"loss": 0.23436384201049804,
|
| 493 |
+
"step": 690
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.7368421052631579,
|
| 497 |
+
"grad_norm": 0.27317146411008913,
|
| 498 |
+
"learning_rate": 7.968572974468982e-06,
|
| 499 |
+
"loss": 0.23093681335449218,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.7473684210526316,
|
| 504 |
+
"grad_norm": 0.27603023293962675,
|
| 505 |
+
"learning_rate": 7.894159106554997e-06,
|
| 506 |
+
"loss": 0.22571356296539308,
|
| 507 |
+
"step": 710
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.7578947368421053,
|
| 511 |
+
"grad_norm": 0.25458846058176593,
|
| 512 |
+
"learning_rate": 7.81876841151356e-06,
|
| 513 |
+
"loss": 0.22805409431457518,
|
| 514 |
+
"step": 720
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.7684210526315789,
|
| 518 |
+
"grad_norm": 0.30969393642309145,
|
| 519 |
+
"learning_rate": 7.742426334965788e-06,
|
| 520 |
+
"loss": 0.22525014877319335,
|
| 521 |
+
"step": 730
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.7789473684210526,
|
| 525 |
+
"grad_norm": 0.26072479363439655,
|
| 526 |
+
"learning_rate": 7.66515864363997e-06,
|
| 527 |
+
"loss": 0.2286301612854004,
|
| 528 |
+
"step": 740
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.7894736842105263,
|
| 532 |
+
"grad_norm": 0.3016709190915049,
|
| 533 |
+
"learning_rate": 7.58699141667488e-06,
|
| 534 |
+
"loss": 0.23266050815582276,
|
| 535 |
+
"step": 750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.8,
|
| 539 |
+
"grad_norm": 0.3831533388700107,
|
| 540 |
+
"learning_rate": 7.507951036817618e-06,
|
| 541 |
+
"loss": 0.22959415912628173,
|
| 542 |
+
"step": 760
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.8105263157894737,
|
| 546 |
+
"grad_norm": 0.3087815264282555,
|
| 547 |
+
"learning_rate": 7.428064181518997e-06,
|
| 548 |
+
"loss": 0.2315208911895752,
|
| 549 |
+
"step": 770
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.8210526315789474,
|
| 553 |
+
"grad_norm": 0.3363687111203312,
|
| 554 |
+
"learning_rate": 7.347357813929455e-06,
|
| 555 |
+
"loss": 0.22810449600219726,
|
| 556 |
+
"step": 780
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.8315789473684211,
|
| 560 |
+
"grad_norm": 0.36100216122082834,
|
| 561 |
+
"learning_rate": 7.2658591737985405e-06,
|
| 562 |
+
"loss": 0.22903876304626464,
|
| 563 |
+
"step": 790
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.8421052631578947,
|
| 567 |
+
"grad_norm": 0.27329475425977534,
|
| 568 |
+
"learning_rate": 7.183595768281044e-06,
|
| 569 |
+
"loss": 0.22632358074188233,
|
| 570 |
+
"step": 800
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.8526315789473684,
|
| 574 |
+
"grad_norm": 0.277388509929935,
|
| 575 |
+
"learning_rate": 7.100595362652872e-06,
|
| 576 |
+
"loss": 0.2294386386871338,
|
| 577 |
+
"step": 810
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.8631578947368421,
|
| 581 |
+
"grad_norm": 0.28051113588788223,
|
| 582 |
+
"learning_rate": 7.016885970939798e-06,
|
| 583 |
+
"loss": 0.2281886577606201,
|
| 584 |
+
"step": 820
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.8736842105263158,
|
| 588 |
+
"grad_norm": 0.293907395168174,
|
| 589 |
+
"learning_rate": 6.932495846462262e-06,
|
| 590 |
+
"loss": 0.22598600387573242,
|
| 591 |
+
"step": 830
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.8842105263157894,
|
| 595 |
+
"grad_norm": 0.3734000354731369,
|
| 596 |
+
"learning_rate": 6.847453472299408e-06,
|
| 597 |
+
"loss": 0.2298863410949707,
|
| 598 |
+
"step": 840
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.8947368421052632,
|
| 602 |
+
"grad_norm": 0.4211071951488968,
|
| 603 |
+
"learning_rate": 6.761787551675559e-06,
|
| 604 |
+
"loss": 0.2260622501373291,
|
| 605 |
+
"step": 850
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.9052631578947369,
|
| 609 |
+
"grad_norm": 0.27516049534953896,
|
| 610 |
+
"learning_rate": 6.675526998272405e-06,
|
| 611 |
+
"loss": 0.22781813144683838,
|
| 612 |
+
"step": 860
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.9157894736842105,
|
| 616 |
+
"grad_norm": 0.31854714427989067,
|
| 617 |
+
"learning_rate": 6.588700926470145e-06,
|
| 618 |
+
"loss": 0.23128952980041503,
|
| 619 |
+
"step": 870
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.9263157894736842,
|
| 623 |
+
"grad_norm": 0.2892243374867331,
|
| 624 |
+
"learning_rate": 6.501338641520906e-06,
|
| 625 |
+
"loss": 0.2221243143081665,
|
| 626 |
+
"step": 880
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.9368421052631579,
|
| 630 |
+
"grad_norm": 0.306241568598951,
|
| 631 |
+
"learning_rate": 6.413469629657724e-06,
|
| 632 |
+
"loss": 0.22800881862640382,
|
| 633 |
+
"step": 890
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.9473684210526315,
|
| 637 |
+
"grad_norm": 0.26324001635424615,
|
| 638 |
+
"learning_rate": 6.325123548142442e-06,
|
| 639 |
+
"loss": 0.22635903358459472,
|
| 640 |
+
"step": 900
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.9578947368421052,
|
| 644 |
+
"grad_norm": 0.28979582793765807,
|
| 645 |
+
"learning_rate": 6.2363302152559004e-06,
|
| 646 |
+
"loss": 0.2214449405670166,
|
| 647 |
+
"step": 910
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.968421052631579,
|
| 651 |
+
"grad_norm": 0.30019942979258224,
|
| 652 |
+
"learning_rate": 6.147119600233758e-06,
|
| 653 |
+
"loss": 0.22588553428649902,
|
| 654 |
+
"step": 920
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.9789473684210527,
|
| 658 |
+
"grad_norm": 0.24081228976340158,
|
| 659 |
+
"learning_rate": 6.0575218131513795e-06,
|
| 660 |
+
"loss": 0.22606298923492432,
|
| 661 |
+
"step": 930
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.9894736842105263,
|
| 665 |
+
"grad_norm": 0.2532344551871541,
|
| 666 |
+
"learning_rate": 5.967567094761173e-06,
|
| 667 |
+
"loss": 0.22447419166564941,
|
| 668 |
+
"step": 940
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.0,
|
| 672 |
+
"grad_norm": 0.25624074312227324,
|
| 673 |
+
"learning_rate": 5.8772858062858414e-06,
|
| 674 |
+
"loss": 0.2197559356689453,
|
| 675 |
+
"step": 950
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.0105263157894737,
|
| 679 |
+
"grad_norm": 0.294320032404737,
|
| 680 |
+
"learning_rate": 5.786708419170955e-06,
|
| 681 |
+
"loss": 0.20079433917999268,
|
| 682 |
+
"step": 960
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.0210526315789474,
|
| 686 |
+
"grad_norm": 0.2772776687318518,
|
| 687 |
+
"learning_rate": 5.695865504800328e-06,
|
| 688 |
+
"loss": 0.19873998165130616,
|
| 689 |
+
"step": 970
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.0315789473684212,
|
| 693 |
+
"grad_norm": 0.3017621425938103,
|
| 694 |
+
"learning_rate": 5.604787724177666e-06,
|
| 695 |
+
"loss": 0.1990882396697998,
|
| 696 |
+
"step": 980
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.0421052631578946,
|
| 700 |
+
"grad_norm": 0.24740046999925985,
|
| 701 |
+
"learning_rate": 5.513505817577966e-06,
|
| 702 |
+
"loss": 0.19772762060165405,
|
| 703 |
+
"step": 990
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.0526315789473684,
|
| 707 |
+
"grad_norm": 0.6253273153552176,
|
| 708 |
+
"learning_rate": 5.422050594172161e-06,
|
| 709 |
+
"loss": 0.1970980644226074,
|
| 710 |
+
"step": 1000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.063157894736842,
|
| 714 |
+
"grad_norm": 0.25005133109361194,
|
| 715 |
+
"learning_rate": 5.3304529216284974e-06,
|
| 716 |
+
"loss": 0.19327741861343384,
|
| 717 |
+
"step": 1010
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.0736842105263158,
|
| 721 |
+
"grad_norm": 0.23803816434048278,
|
| 722 |
+
"learning_rate": 5.2387437156942e-06,
|
| 723 |
+
"loss": 0.1945974588394165,
|
| 724 |
+
"step": 1020
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.0842105263157895,
|
| 728 |
+
"grad_norm": 0.25426889584006507,
|
| 729 |
+
"learning_rate": 5.146953929760873e-06,
|
| 730 |
+
"loss": 0.19807915687561034,
|
| 731 |
+
"step": 1030
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.0947368421052632,
|
| 735 |
+
"grad_norm": 0.24796322512340838,
|
| 736 |
+
"learning_rate": 5.055114544417219e-06,
|
| 737 |
+
"loss": 0.19381109476089478,
|
| 738 |
+
"step": 1040
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.1052631578947367,
|
| 742 |
+
"grad_norm": 0.2844899375817334,
|
| 743 |
+
"learning_rate": 4.963256556992573e-06,
|
| 744 |
+
"loss": 0.19943089485168458,
|
| 745 |
+
"step": 1050
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.1157894736842104,
|
| 749 |
+
"grad_norm": 0.24418389741926902,
|
| 750 |
+
"learning_rate": 4.871410971094783e-06,
|
| 751 |
+
"loss": 0.19498684406280517,
|
| 752 |
+
"step": 1060
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.1263157894736842,
|
| 756 |
+
"grad_norm": 0.4038641534449416,
|
| 757 |
+
"learning_rate": 4.779608786145974e-06,
|
| 758 |
+
"loss": 0.196298086643219,
|
| 759 |
+
"step": 1070
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.1368421052631579,
|
| 763 |
+
"grad_norm": 0.26113927294279604,
|
| 764 |
+
"learning_rate": 4.687880986919725e-06,
|
| 765 |
+
"loss": 0.1971622586250305,
|
| 766 |
+
"step": 1080
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.1473684210526316,
|
| 770 |
+
"grad_norm": 0.4977955842858725,
|
| 771 |
+
"learning_rate": 4.596258533083189e-06,
|
| 772 |
+
"loss": 0.19794424772262573,
|
| 773 |
+
"step": 1090
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.1578947368421053,
|
| 777 |
+
"grad_norm": 0.25107475078133745,
|
| 778 |
+
"learning_rate": 4.504772348747687e-06,
|
| 779 |
+
"loss": 0.19652832746505738,
|
| 780 |
+
"step": 1100
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.168421052631579,
|
| 784 |
+
"grad_norm": 0.2556536979657237,
|
| 785 |
+
"learning_rate": 4.4134533120313015e-06,
|
| 786 |
+
"loss": 0.19812074899673462,
|
| 787 |
+
"step": 1110
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.1789473684210527,
|
| 791 |
+
"grad_norm": 0.23387100209445238,
|
| 792 |
+
"learning_rate": 4.322332244637e-06,
|
| 793 |
+
"loss": 0.19807214736938478,
|
| 794 |
+
"step": 1120
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.1894736842105262,
|
| 798 |
+
"grad_norm": 0.25648361730909935,
|
| 799 |
+
"learning_rate": 4.231439901449788e-06,
|
| 800 |
+
"loss": 0.19498560428619385,
|
| 801 |
+
"step": 1130
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.2,
|
| 805 |
+
"grad_norm": 0.29897428328619025,
|
| 806 |
+
"learning_rate": 4.140806960156426e-06,
|
| 807 |
+
"loss": 0.1961974859237671,
|
| 808 |
+
"step": 1140
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.2105263157894737,
|
| 812 |
+
"grad_norm": 0.25129223420487823,
|
| 813 |
+
"learning_rate": 4.050464010891191e-06,
|
| 814 |
+
"loss": 0.19537138938903809,
|
| 815 |
+
"step": 1150
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 1.2210526315789474,
|
| 819 |
+
"grad_norm": 0.24004072520356504,
|
| 820 |
+
"learning_rate": 3.960441545911205e-06,
|
| 821 |
+
"loss": 0.19586120843887328,
|
| 822 |
+
"step": 1160
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 1.231578947368421,
|
| 826 |
+
"grad_norm": 0.24456076120688325,
|
| 827 |
+
"learning_rate": 3.870769949304771e-06,
|
| 828 |
+
"loss": 0.1965277910232544,
|
| 829 |
+
"step": 1170
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 1.2421052631578948,
|
| 833 |
+
"grad_norm": 0.2296936782331885,
|
| 834 |
+
"learning_rate": 3.7814794867362563e-06,
|
| 835 |
+
"loss": 0.19530876874923705,
|
| 836 |
+
"step": 1180
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.2526315789473683,
|
| 840 |
+
"grad_norm": 0.23396786820990012,
|
| 841 |
+
"learning_rate": 3.6926002952309015e-06,
|
| 842 |
+
"loss": 0.19631469249725342,
|
| 843 |
+
"step": 1190
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 1.263157894736842,
|
| 847 |
+
"grad_norm": 0.2391669489471293,
|
| 848 |
+
"learning_rate": 3.6041623730030908e-06,
|
| 849 |
+
"loss": 0.19450459480285645,
|
| 850 |
+
"step": 1200
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.2736842105263158,
|
| 854 |
+
"grad_norm": 0.2569182774175174,
|
| 855 |
+
"learning_rate": 3.5161955693314353e-06,
|
| 856 |
+
"loss": 0.19371691942214966,
|
| 857 |
+
"step": 1210
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 1.2842105263157895,
|
| 861 |
+
"grad_norm": 0.25508949768914013,
|
| 862 |
+
"learning_rate": 3.4287295744841588e-06,
|
| 863 |
+
"loss": 0.1941887617111206,
|
| 864 |
+
"step": 1220
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.2947368421052632,
|
| 868 |
+
"grad_norm": 0.24631477566651228,
|
| 869 |
+
"learning_rate": 3.3417939096981154e-06,
|
| 870 |
+
"loss": 0.19797197580337525,
|
| 871 |
+
"step": 1230
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 1.305263157894737,
|
| 875 |
+
"grad_norm": 0.2912703767123543,
|
| 876 |
+
"learning_rate": 3.2554179172149027e-06,
|
| 877 |
+
"loss": 0.1957828402519226,
|
| 878 |
+
"step": 1240
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 1.3157894736842106,
|
| 882 |
+
"grad_norm": 0.24356177316543406,
|
| 883 |
+
"learning_rate": 3.169630750377337e-06,
|
| 884 |
+
"loss": 0.19575778245925904,
|
| 885 |
+
"step": 1250
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 1.3263157894736843,
|
| 889 |
+
"grad_norm": 0.23820661172781712,
|
| 890 |
+
"learning_rate": 3.084461363789739e-06,
|
| 891 |
+
"loss": 0.19117907285690308,
|
| 892 |
+
"step": 1260
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 1.3368421052631578,
|
| 896 |
+
"grad_norm": 0.2600370411901533,
|
| 897 |
+
"learning_rate": 2.9999385035452477e-06,
|
| 898 |
+
"loss": 0.1925075888633728,
|
| 899 |
+
"step": 1270
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 1.3473684210526315,
|
| 903 |
+
"grad_norm": 0.21513681306855276,
|
| 904 |
+
"learning_rate": 2.9160906975235493e-06,
|
| 905 |
+
"loss": 0.1946537733078003,
|
| 906 |
+
"step": 1280
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 1.3578947368421053,
|
| 910 |
+
"grad_norm": 0.266520580396809,
|
| 911 |
+
"learning_rate": 2.8329462457622263e-06,
|
| 912 |
+
"loss": 0.19421722888946533,
|
| 913 |
+
"step": 1290
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 1.368421052631579,
|
| 917 |
+
"grad_norm": 0.24241560989238953,
|
| 918 |
+
"learning_rate": 2.750533210905042e-06,
|
| 919 |
+
"loss": 0.19339181184768678,
|
| 920 |
+
"step": 1300
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 1.3789473684210527,
|
| 924 |
+
"grad_norm": 0.2224770477566372,
|
| 925 |
+
"learning_rate": 2.6688794087302993e-06,
|
| 926 |
+
"loss": 0.19271748065948485,
|
| 927 |
+
"step": 1310
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 1.3894736842105262,
|
| 931 |
+
"grad_norm": 0.2370982220163039,
|
| 932 |
+
"learning_rate": 2.588012398762578e-06,
|
| 933 |
+
"loss": 0.19885480403900146,
|
| 934 |
+
"step": 1320
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 1.4,
|
| 938 |
+
"grad_norm": 0.21500892304127134,
|
| 939 |
+
"learning_rate": 2.507959474970918e-06,
|
| 940 |
+
"loss": 0.19349191188812256,
|
| 941 |
+
"step": 1330
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 1.4105263157894736,
|
| 945 |
+
"grad_norm": 0.22640511212855835,
|
| 946 |
+
"learning_rate": 2.4287476565566525e-06,
|
| 947 |
+
"loss": 0.19752376079559325,
|
| 948 |
+
"step": 1340
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 1.4210526315789473,
|
| 952 |
+
"grad_norm": 0.22237639475081325,
|
| 953 |
+
"learning_rate": 2.3504036788339763e-06,
|
| 954 |
+
"loss": 0.193558669090271,
|
| 955 |
+
"step": 1350
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 1.431578947368421,
|
| 959 |
+
"grad_norm": 0.22963042441893944,
|
| 960 |
+
"learning_rate": 2.2729539842063275e-06,
|
| 961 |
+
"loss": 0.19095768928527831,
|
| 962 |
+
"step": 1360
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 1.4421052631578948,
|
| 966 |
+
"grad_norm": 0.23756307637869026,
|
| 967 |
+
"learning_rate": 2.1964247132416373e-06,
|
| 968 |
+
"loss": 0.1918013334274292,
|
| 969 |
+
"step": 1370
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 1.4526315789473685,
|
| 973 |
+
"grad_norm": 0.267112829543541,
|
| 974 |
+
"learning_rate": 2.1208416958494472e-06,
|
| 975 |
+
"loss": 0.19151101112365723,
|
| 976 |
+
"step": 1380
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 1.4631578947368422,
|
| 980 |
+
"grad_norm": 0.2565113844766898,
|
| 981 |
+
"learning_rate": 2.0462304425628836e-06,
|
| 982 |
+
"loss": 0.19104468822479248,
|
| 983 |
+
"step": 1390
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 1.4736842105263157,
|
| 987 |
+
"grad_norm": 0.2541925587022182,
|
| 988 |
+
"learning_rate": 1.9726161359284283e-06,
|
| 989 |
+
"loss": 0.1942047357559204,
|
| 990 |
+
"step": 1400
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 1.4842105263157894,
|
| 994 |
+
"grad_norm": 0.253148927004746,
|
| 995 |
+
"learning_rate": 1.900023622006385e-06,
|
| 996 |
+
"loss": 0.19348801374435426,
|
| 997 |
+
"step": 1410
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 1.4947368421052631,
|
| 1001 |
+
"grad_norm": 0.2466140497104748,
|
| 1002 |
+
"learning_rate": 1.8284774019849176e-06,
|
| 1003 |
+
"loss": 0.1932326078414917,
|
| 1004 |
+
"step": 1420
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 1.5052631578947369,
|
| 1008 |
+
"grad_norm": 0.240515225945719,
|
| 1009 |
+
"learning_rate": 1.7580016239104924e-06,
|
| 1010 |
+
"loss": 0.19303900003433228,
|
| 1011 |
+
"step": 1430
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 1.5157894736842106,
|
| 1015 |
+
"grad_norm": 0.23771824572539513,
|
| 1016 |
+
"learning_rate": 1.688620074537506e-06,
|
| 1017 |
+
"loss": 0.19279847145080567,
|
| 1018 |
+
"step": 1440
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 1.526315789473684,
|
| 1022 |
+
"grad_norm": 0.3004869240982333,
|
| 1023 |
+
"learning_rate": 1.6203561712998561e-06,
|
| 1024 |
+
"loss": 0.19080493450164795,
|
| 1025 |
+
"step": 1450
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 1.5368421052631578,
|
| 1029 |
+
"grad_norm": 0.37231886063803604,
|
| 1030 |
+
"learning_rate": 1.5532329544071712e-06,
|
| 1031 |
+
"loss": 0.19115395545959474,
|
| 1032 |
+
"step": 1460
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 1.5473684210526315,
|
| 1036 |
+
"grad_norm": 0.24728401456192212,
|
| 1037 |
+
"learning_rate": 1.4872730790683488e-06,
|
| 1038 |
+
"loss": 0.18951849937438964,
|
| 1039 |
+
"step": 1470
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 1.5578947368421052,
|
| 1043 |
+
"grad_norm": 0.22559796089692102,
|
| 1044 |
+
"learning_rate": 1.4224988078450453e-06,
|
| 1045 |
+
"loss": 0.19606926441192626,
|
| 1046 |
+
"step": 1480
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 1.568421052631579,
|
| 1050 |
+
"grad_norm": 0.2752984903555115,
|
| 1051 |
+
"learning_rate": 1.35893200313769e-06,
|
| 1052 |
+
"loss": 0.19073886871337892,
|
| 1053 |
+
"step": 1490
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 1.5789473684210527,
|
| 1057 |
+
"grad_norm": 0.24009374078266987,
|
| 1058 |
+
"learning_rate": 1.2965941198065568e-06,
|
| 1059 |
+
"loss": 0.19378194808959961,
|
| 1060 |
+
"step": 1500
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 1.5894736842105264,
|
| 1064 |
+
"grad_norm": 0.23448432671705818,
|
| 1065 |
+
"learning_rate": 1.2355061979303922e-06,
|
| 1066 |
+
"loss": 0.19598268270492553,
|
| 1067 |
+
"step": 1510
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 1.6,
|
| 1071 |
+
"grad_norm": 0.24301413100835856,
|
| 1072 |
+
"learning_rate": 1.1756888557050356e-06,
|
| 1073 |
+
"loss": 0.19359974861145018,
|
| 1074 |
+
"step": 1520
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 1.6105263157894738,
|
| 1078 |
+
"grad_norm": 0.23930218588704952,
|
| 1079 |
+
"learning_rate": 1.1171622824844324e-06,
|
| 1080 |
+
"loss": 0.19317302703857422,
|
| 1081 |
+
"step": 1530
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 1.6210526315789475,
|
| 1085 |
+
"grad_norm": 0.2397722793468881,
|
| 1086 |
+
"learning_rate": 1.0599462319663906e-06,
|
| 1087 |
+
"loss": 0.19234857559204102,
|
| 1088 |
+
"step": 1540
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 1.631578947368421,
|
| 1092 |
+
"grad_norm": 0.24751839091002828,
|
| 1093 |
+
"learning_rate": 1.0040600155253766e-06,
|
| 1094 |
+
"loss": 0.19029581546783447,
|
| 1095 |
+
"step": 1550
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 1.6421052631578947,
|
| 1099 |
+
"grad_norm": 0.22702736968776965,
|
| 1100 |
+
"learning_rate": 9.495224956946031e-07,
|
| 1101 |
+
"loss": 0.191664981842041,
|
| 1102 |
+
"step": 1560
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 1.6526315789473685,
|
| 1106 |
+
"grad_norm": 0.2332667112142399,
|
| 1107 |
+
"learning_rate": 8.963520797996078e-07,
|
| 1108 |
+
"loss": 0.19490841627120972,
|
| 1109 |
+
"step": 1570
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 1.663157894736842,
|
| 1113 |
+
"grad_norm": 0.2260732038990447,
|
| 1114 |
+
"learning_rate": 8.44566713745476e-07,
|
| 1115 |
+
"loss": 0.19349515438079834,
|
| 1116 |
+
"step": 1580
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 1.6736842105263157,
|
| 1120 |
+
"grad_norm": 0.2294911839825948,
|
| 1121 |
+
"learning_rate": 7.941838759597931e-07,
|
| 1122 |
+
"loss": 0.19110431671142578,
|
| 1123 |
+
"step": 1590
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 1.6842105263157894,
|
| 1127 |
+
"grad_norm": 0.22870778890825322,
|
| 1128 |
+
"learning_rate": 7.452205714933864e-07,
|
| 1129 |
+
"loss": 0.18870527744293214,
|
| 1130 |
+
"step": 1600
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 1.694736842105263,
|
| 1134 |
+
"grad_norm": 0.23471053871702702,
|
| 1135 |
+
"learning_rate": 6.976933262808322e-07,
|
| 1136 |
+
"loss": 0.18972678184509278,
|
| 1137 |
+
"step": 1610
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 1.7052631578947368,
|
| 1141 |
+
"grad_norm": 0.2460048365276062,
|
| 1142 |
+
"learning_rate": 6.516181815626809e-07,
|
| 1143 |
+
"loss": 0.19125382900238036,
|
| 1144 |
+
"step": 1620
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 1.7157894736842105,
|
| 1148 |
+
"grad_norm": 0.24560237027218976,
|
| 1149 |
+
"learning_rate": 6.070106884712668e-07,
|
| 1150 |
+
"loss": 0.19123988151550292,
|
| 1151 |
+
"step": 1630
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 1.7263157894736842,
|
| 1155 |
+
"grad_norm": 0.24652382961908462,
|
| 1156 |
+
"learning_rate": 5.63885902781941e-07,
|
| 1157 |
+
"loss": 0.19295673370361327,
|
| 1158 |
+
"step": 1640
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 1.736842105263158,
|
| 1162 |
+
"grad_norm": 0.24533649539132368,
|
| 1163 |
+
"learning_rate": 5.222583798314962e-07,
|
| 1164 |
+
"loss": 0.18839049339294434,
|
| 1165 |
+
"step": 1650
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 1.7473684210526317,
|
| 1169 |
+
"grad_norm": 0.3336695001474656,
|
| 1170 |
+
"learning_rate": 4.821421696054957e-07,
|
| 1171 |
+
"loss": 0.1891610026359558,
|
| 1172 |
+
"step": 1660
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 1.7578947368421054,
|
| 1176 |
+
"grad_norm": 0.2647882606449418,
|
| 1177 |
+
"learning_rate": 4.435508119961701e-07,
|
| 1178 |
+
"loss": 0.1917852282524109,
|
| 1179 |
+
"step": 1670
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 1.768421052631579,
|
| 1183 |
+
"grad_norm": 0.20845865683153803,
|
| 1184 |
+
"learning_rate": 4.06497332232475e-07,
|
| 1185 |
+
"loss": 0.19248172044754028,
|
| 1186 |
+
"step": 1680
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 1.7789473684210526,
|
| 1190 |
+
"grad_norm": 0.23358468362969725,
|
| 1191 |
+
"learning_rate": 3.709942364838598e-07,
|
| 1192 |
+
"loss": 0.1919580340385437,
|
| 1193 |
+
"step": 1690
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 1.7894736842105263,
|
| 1197 |
+
"grad_norm": 0.23213073972850745,
|
| 1198 |
+
"learning_rate": 3.370535076392256e-07,
|
| 1199 |
+
"loss": 0.19042977094650268,
|
| 1200 |
+
"step": 1700
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 1.8,
|
| 1204 |
+
"grad_norm": 0.25470075394375263,
|
| 1205 |
+
"learning_rate": 3.046866012624999e-07,
|
| 1206 |
+
"loss": 0.19088363647460938,
|
| 1207 |
+
"step": 1710
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 1.8105263157894735,
|
| 1211 |
+
"grad_norm": 0.247228223281629,
|
| 1212 |
+
"learning_rate": 2.73904441726191e-07,
|
| 1213 |
+
"loss": 0.1913079023361206,
|
| 1214 |
+
"step": 1720
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 1.8210526315789473,
|
| 1218 |
+
"grad_norm": 0.23232762090899536,
|
| 1219 |
+
"learning_rate": 2.447174185242324e-07,
|
| 1220 |
+
"loss": 0.19013372659683228,
|
| 1221 |
+
"step": 1730
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 1.831578947368421,
|
| 1225 |
+
"grad_norm": 0.24280154227588807,
|
| 1226 |
+
"learning_rate": 2.1713538276535052e-07,
|
| 1227 |
+
"loss": 0.1948431372642517,
|
| 1228 |
+
"step": 1740
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 1.8421052631578947,
|
| 1232 |
+
"grad_norm": 0.2236785412117567,
|
| 1233 |
+
"learning_rate": 1.9116764384815467e-07,
|
| 1234 |
+
"loss": 0.19003885984420776,
|
| 1235 |
+
"step": 1750
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 1.8526315789473684,
|
| 1239 |
+
"grad_norm": 0.2549764048249434,
|
| 1240 |
+
"learning_rate": 1.6682296631905626e-07,
|
| 1241 |
+
"loss": 0.19080986976623535,
|
| 1242 |
+
"step": 1760
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 1.8631578947368421,
|
| 1246 |
+
"grad_norm": 0.23580904612746872,
|
| 1247 |
+
"learning_rate": 1.441095669140896e-07,
|
| 1248 |
+
"loss": 0.19152488708496093,
|
| 1249 |
+
"step": 1770
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 1.8736842105263158,
|
| 1253 |
+
"grad_norm": 0.2374342991484911,
|
| 1254 |
+
"learning_rate": 1.2303511178562544e-07,
|
| 1255 |
+
"loss": 0.19242886304855347,
|
| 1256 |
+
"step": 1780
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 1.8842105263157896,
|
| 1260 |
+
"grad_norm": 0.43313558192700996,
|
| 1261 |
+
"learning_rate": 1.0360671391491606e-07,
|
| 1262 |
+
"loss": 0.19022092819213868,
|
| 1263 |
+
"step": 1790
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 1.8947368421052633,
|
| 1267 |
+
"grad_norm": 0.2425185391342671,
|
| 1268 |
+
"learning_rate": 8.583093071134473e-08,
|
| 1269 |
+
"loss": 0.19063401222229004,
|
| 1270 |
+
"step": 1800
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 1.905263157894737,
|
| 1274 |
+
"grad_norm": 0.26607730971233284,
|
| 1275 |
+
"learning_rate": 6.971376179919109e-08,
|
| 1276 |
+
"loss": 0.1912980318069458,
|
| 1277 |
+
"step": 1810
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 1.9157894736842105,
|
| 1281 |
+
"grad_norm": 0.22490564327430987,
|
| 1282 |
+
"learning_rate": 5.526064699265754e-08,
|
| 1283 |
+
"loss": 0.19353299140930175,
|
| 1284 |
+
"step": 1820
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 1.9263157894736842,
|
| 1288 |
+
"grad_norm": 0.2598893466532391,
|
| 1289 |
+
"learning_rate": 4.247646445984077e-08,
|
| 1290 |
+
"loss": 0.1892704486846924,
|
| 1291 |
+
"step": 1830
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 1.936842105263158,
|
| 1295 |
+
"grad_norm": 0.24017216403561248,
|
| 1296 |
+
"learning_rate": 3.136552907626711e-08,
|
| 1297 |
+
"loss": 0.1912303924560547,
|
| 1298 |
+
"step": 1840
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 1.9473684210526314,
|
| 1302 |
+
"grad_norm": 0.2916421248915158,
|
| 1303 |
+
"learning_rate": 2.193159096855191e-08,
|
| 1304 |
+
"loss": 0.19108378887176514,
|
| 1305 |
+
"step": 1850
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 1.9578947368421051,
|
| 1309 |
+
"grad_norm": 0.22950823960628328,
|
| 1310 |
+
"learning_rate": 1.4177834248668144e-08,
|
| 1311 |
+
"loss": 0.18866654634475707,
|
| 1312 |
+
"step": 1860
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 1.9684210526315788,
|
| 1316 |
+
"grad_norm": 0.2959457324216449,
|
| 1317 |
+
"learning_rate": 8.106875939254966e-09,
|
| 1318 |
+
"loss": 0.18910012245178223,
|
| 1319 |
+
"step": 1870
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 1.9789473684210526,
|
| 1323 |
+
"grad_norm": 0.309771456177122,
|
| 1324 |
+
"learning_rate": 3.7207650903298143e-09,
|
| 1325 |
+
"loss": 0.1887919306755066,
|
| 1326 |
+
"step": 1880
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 1.9894736842105263,
|
| 1330 |
+
"grad_norm": 0.220369015615628,
|
| 1331 |
+
"learning_rate": 1.0209820876977416e-09,
|
| 1332 |
+
"loss": 0.19265508651733398,
|
| 1333 |
+
"step": 1890
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 2.0,
|
| 1337 |
+
"grad_norm": 0.2530573831262143,
|
| 1338 |
+
"learning_rate": 8.438153299428209e-12,
|
| 1339 |
+
"loss": 0.19035093784332274,
|
| 1340 |
+
"step": 1900
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 2.0,
|
| 1344 |
+
"step": 1900,
|
| 1345 |
+
"total_flos": 3.659698498699264e+16,
|
| 1346 |
+
"train_loss": 0.2223978883341739,
|
| 1347 |
+
"train_runtime": 118927.6827,
|
| 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/training_loss.png
ADDED
|