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Model: laion/exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: Qwen/Qwen3-8B
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter
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This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the /data/cat/ws/befe330h-befe330h-otagent/huggingface/hub/datasets--DCAgent--exp-uns-r2egym-16_8x_glm_4.7_traces_jupiter/snapshots/f351781469e77321a7f815f7e9f7789e9b57a34e_thinking_preprocessed dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 4e-05
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- total_eval_batch_size: 64
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 7.0
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### Training results
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### Framework versions
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- Transformers 4.57.6
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- Pytorch 2.9.0+cu128
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- Datasets 4.4.1
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- Tokenizers 0.22.2
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added_tokens.json
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added_tokens.json
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{
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}
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all_results.json
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all_results.json
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{
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"achieved_tflops_per_gpu": 4.896264491712151,
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"achieved_tflops_per_gpu_theoretical": 271.03236502585344,
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"epoch": 7.0,
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"loss_nan_ranks": 0,
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"loss_rank_avg": 0.12460079044103622,
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"mfu_percent": 0.4950722438536048,
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"mfu_percent_theoretical": 27.40468807137042,
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"total_flos": 2.3699064220633006e+18,
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"train_loss": 0.2668512877930834,
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"train_runtime": 60502.9208,
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"train_samples_per_second": 1.273,
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"train_steps_per_second": 0.08,
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"valid_targets_mean": 4185.4,
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"valid_targets_min": 557
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}
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
|
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
|
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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68
config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 12288,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 40960,
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"max_window_layers": 36,
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"model_type": "qwen3",
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"num_attention_heads": 32,
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"num_hidden_layers": 36,
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||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151643,
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||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "4.57.6",
|
||||
"use_cache": false,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
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}
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1
configuration.json
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configuration.json
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{"framework": "pytorch", "task": "others", "allow_remote": true}
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generation_config.json
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generation_config.json
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{
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
|
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"pad_token_id": 151643,
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"temperature": 0.6,
|
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"top_k": 20,
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"top_p": 0.95,
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"transformers_version": "4.57.6"
|
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}
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BIN
merges.txt
(Stored with Git LFS)
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BIN
merges.txt
(Stored with Git LFS)
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12
run_summary.json
Normal file
12
run_summary.json
Normal file
@@ -0,0 +1,12 @@
|
||||
{
|
||||
"agent_name": "f351781469e77321a7f815f7e9f7789e9b57a34e_thinking_preprocessed",
|
||||
"training_start": null,
|
||||
"training_end": null,
|
||||
"created_by": "DCAgent",
|
||||
"base_model_name": "Qwen/Qwen3-8B",
|
||||
"dataset_name": "/data/cat/ws/befe330h-befe330h-otagent/huggingface/hub/datasets--DCAgent--exp-uns-r2egym-16_8x_glm_4.7_traces_jupiter/snapshots/f351781469e77321a7f815f7e9f7789e9b57a34e_thinking_preprocessed",
|
||||
"training_type": "SFT",
|
||||
"training_parameters": "https://huggingface.co/laion/exp-uns-r2egym-16_8x_glm_4_7_traces_jupiter/blob/main/config.json",
|
||||
"wandb_link": "https://wandb.ai/dogml/OpenThoughts-Agent/runs/sft_exp-uns-r2egym-16_8x_glm_4-7_traces_jupiter_Qwen3-8B",
|
||||
"traces_location_s3": null
|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
240
tokenizer_config.json
Normal file
240
tokenizer_config.json
Normal file
@@ -0,0 +1,240 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 32768,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"padding_side": "right",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
16
train_results.json
Normal file
16
train_results.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"achieved_tflops_per_gpu": 4.896264491712151,
|
||||
"achieved_tflops_per_gpu_theoretical": 271.03236502585344,
|
||||
"epoch": 7.0,
|
||||
"loss_nan_ranks": 0,
|
||||
"loss_rank_avg": 0.12460079044103622,
|
||||
"mfu_percent": 0.4950722438536048,
|
||||
"mfu_percent_theoretical": 27.40468807137042,
|
||||
"total_flos": 2.3699064220633006e+18,
|
||||
"train_loss": 0.2668512877930834,
|
||||
"train_runtime": 60502.9208,
|
||||
"train_samples_per_second": 1.273,
|
||||
"train_steps_per_second": 0.08,
|
||||
"valid_targets_mean": 4185.4,
|
||||
"valid_targets_min": 557
|
||||
}
|
||||
964
trainer_log.jsonl
Normal file
964
trainer_log.jsonl
Normal file
@@ -0,0 +1,964 @@
|
||||
{"current_steps": 5, "total_steps": 4816, "loss": 0.8619, "lr": 3.319502074688797e-07, "epoch": 0.007267441860465116, "percentage": 0.1, "elapsed_time": "0:01:11", "remaining_time": "19:10:15"}
|
||||
{"current_steps": 10, "total_steps": 4816, "loss": 0.88, "lr": 7.468879668049793e-07, "epoch": 0.014534883720930232, "percentage": 0.21, "elapsed_time": "0:02:19", "remaining_time": "18:35:21"}
|
||||
{"current_steps": 15, "total_steps": 4816, "loss": 0.8461, "lr": 1.161825726141079e-06, "epoch": 0.02180232558139535, "percentage": 0.31, "elapsed_time": "0:03:22", "remaining_time": "17:57:44"}
|
||||
{"current_steps": 20, "total_steps": 4816, "loss": 0.7898, "lr": 1.5767634854771784e-06, "epoch": 0.029069767441860465, "percentage": 0.42, "elapsed_time": "0:04:34", "remaining_time": "18:15:13"}
|
||||
{"current_steps": 25, "total_steps": 4816, "loss": 0.7522, "lr": 1.991701244813278e-06, "epoch": 0.036337209302325583, "percentage": 0.52, "elapsed_time": "0:05:37", "remaining_time": "17:57:43"}
|
||||
{"current_steps": 30, "total_steps": 4816, "loss": 0.6776, "lr": 2.4066390041493776e-06, "epoch": 0.0436046511627907, "percentage": 0.62, "elapsed_time": "0:06:43", "remaining_time": "17:53:00"}
|
||||
{"current_steps": 35, "total_steps": 4816, "loss": 0.647, "lr": 2.8215767634854773e-06, "epoch": 0.050872093023255814, "percentage": 0.73, "elapsed_time": "0:07:49", "remaining_time": "17:48:13"}
|
||||
{"current_steps": 40, "total_steps": 4816, "loss": 0.6368, "lr": 3.2365145228215773e-06, "epoch": 0.05813953488372093, "percentage": 0.83, "elapsed_time": "0:08:59", "remaining_time": "17:52:52"}
|
||||
{"current_steps": 45, "total_steps": 4816, "loss": 0.6042, "lr": 3.6514522821576765e-06, "epoch": 0.06540697674418605, "percentage": 0.93, "elapsed_time": "0:10:02", "remaining_time": "17:45:28"}
|
||||
{"current_steps": 50, "total_steps": 4816, "loss": 0.6092, "lr": 4.0663900414937765e-06, "epoch": 0.07267441860465117, "percentage": 1.04, "elapsed_time": "0:11:03", "remaining_time": "17:33:45"}
|
||||
{"current_steps": 55, "total_steps": 4816, "loss": 0.5623, "lr": 4.481327800829876e-06, "epoch": 0.07994186046511628, "percentage": 1.14, "elapsed_time": "0:12:14", "remaining_time": "17:40:12"}
|
||||
{"current_steps": 60, "total_steps": 4816, "loss": 0.5582, "lr": 4.896265560165976e-06, "epoch": 0.0872093023255814, "percentage": 1.25, "elapsed_time": "0:13:16", "remaining_time": "17:31:42"}
|
||||
{"current_steps": 65, "total_steps": 4816, "loss": 0.5279, "lr": 5.311203319502075e-06, "epoch": 0.09447674418604651, "percentage": 1.35, "elapsed_time": "0:14:26", "remaining_time": "17:35:44"}
|
||||
{"current_steps": 70, "total_steps": 4816, "loss": 0.5329, "lr": 5.726141078838174e-06, "epoch": 0.10174418604651163, "percentage": 1.45, "elapsed_time": "0:15:28", "remaining_time": "17:29:29"}
|
||||
{"current_steps": 75, "total_steps": 4816, "loss": 0.4821, "lr": 6.1410788381742745e-06, "epoch": 0.10901162790697674, "percentage": 1.56, "elapsed_time": "0:16:40", "remaining_time": "17:34:07"}
|
||||
{"current_steps": 80, "total_steps": 4816, "loss": 0.4768, "lr": 6.556016597510374e-06, "epoch": 0.11627906976744186, "percentage": 1.66, "elapsed_time": "0:17:47", "remaining_time": "17:32:52"}
|
||||
{"current_steps": 85, "total_steps": 4816, "loss": 0.4808, "lr": 6.970954356846473e-06, "epoch": 0.12354651162790697, "percentage": 1.76, "elapsed_time": "0:18:57", "remaining_time": "17:34:56"}
|
||||
{"current_steps": 90, "total_steps": 4816, "loss": 0.4469, "lr": 7.385892116182573e-06, "epoch": 0.1308139534883721, "percentage": 1.87, "elapsed_time": "0:20:02", "remaining_time": "17:32:48"}
|
||||
{"current_steps": 95, "total_steps": 4816, "loss": 0.4533, "lr": 7.800829875518673e-06, "epoch": 0.1380813953488372, "percentage": 1.97, "elapsed_time": "0:21:01", "remaining_time": "17:25:12"}
|
||||
{"current_steps": 100, "total_steps": 4816, "loss": 0.4457, "lr": 8.215767634854772e-06, "epoch": 0.14534883720930233, "percentage": 2.08, "elapsed_time": "0:22:02", "remaining_time": "17:19:19"}
|
||||
{"current_steps": 105, "total_steps": 4816, "loss": 0.4474, "lr": 8.630705394190872e-06, "epoch": 0.15261627906976744, "percentage": 2.18, "elapsed_time": "0:23:07", "remaining_time": "17:17:44"}
|
||||
{"current_steps": 110, "total_steps": 4816, "loss": 0.4288, "lr": 9.045643153526971e-06, "epoch": 0.15988372093023256, "percentage": 2.28, "elapsed_time": "0:24:13", "remaining_time": "17:16:25"}
|
||||
{"current_steps": 115, "total_steps": 4816, "loss": 0.4541, "lr": 9.460580912863071e-06, "epoch": 0.16715116279069767, "percentage": 2.39, "elapsed_time": "0:25:16", "remaining_time": "17:13:11"}
|
||||
{"current_steps": 120, "total_steps": 4816, "loss": 0.4304, "lr": 9.875518672199172e-06, "epoch": 0.1744186046511628, "percentage": 2.49, "elapsed_time": "0:26:19", "remaining_time": "17:10:20"}
|
||||
{"current_steps": 125, "total_steps": 4816, "loss": 0.41, "lr": 1.0290456431535269e-05, "epoch": 0.1816860465116279, "percentage": 2.6, "elapsed_time": "0:27:24", "remaining_time": "17:08:22"}
|
||||
{"current_steps": 130, "total_steps": 4816, "loss": 0.4158, "lr": 1.070539419087137e-05, "epoch": 0.18895348837209303, "percentage": 2.7, "elapsed_time": "0:28:26", "remaining_time": "17:04:56"}
|
||||
{"current_steps": 135, "total_steps": 4816, "loss": 0.3866, "lr": 1.112033195020747e-05, "epoch": 0.19622093023255813, "percentage": 2.8, "elapsed_time": "0:29:35", "remaining_time": "17:06:10"}
|
||||
{"current_steps": 140, "total_steps": 4816, "loss": 0.3935, "lr": 1.1535269709543569e-05, "epoch": 0.20348837209302326, "percentage": 2.91, "elapsed_time": "0:30:40", "remaining_time": "17:04:45"}
|
||||
{"current_steps": 145, "total_steps": 4816, "loss": 0.3836, "lr": 1.1950207468879669e-05, "epoch": 0.21075581395348839, "percentage": 3.01, "elapsed_time": "0:31:48", "remaining_time": "17:04:47"}
|
||||
{"current_steps": 150, "total_steps": 4816, "loss": 0.3918, "lr": 1.236514522821577e-05, "epoch": 0.2180232558139535, "percentage": 3.11, "elapsed_time": "0:32:58", "remaining_time": "17:05:50"}
|
||||
{"current_steps": 155, "total_steps": 4816, "loss": 0.3847, "lr": 1.2780082987551867e-05, "epoch": 0.22529069767441862, "percentage": 3.22, "elapsed_time": "0:34:00", "remaining_time": "17:02:29"}
|
||||
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training_loss.png
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BIN
training_loss.png
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BIN
vocab.json
(Stored with Git LFS)
Normal file
BIN
vocab.json
(Stored with Git LFS)
Normal file
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