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.gitattributes CHANGED
@@ -38,3 +38,4 @@ g1_0_baseline_original_code/250M/tokenizer.json filter=lfs diff=lfs merge=lfs -t
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  g1_0_baseline_original_code/500M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  g1_0_baseline_original_code/1000M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  g1_0_baseline_original_code__edit/250M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
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  g1_0_baseline_original_code/500M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  g1_0_baseline_original_code/1000M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  g1_0_baseline_original_code__edit/250M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ g1_0_baseline_original_code__edit/500M/tokenizer.json filter=lfs diff=lfs merge=lfs -text
g1_0_baseline_original_code__edit/500M/README.md ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: transformers
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+ license: other
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+ base_model: Qwen/Qwen3-8B-Base
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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: 500M
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+ results: []
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+ ---
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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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+
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+ # 500M
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+
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+ This model is a fine-tuned version of [/lus/flare/projects/MultiModalLLM/model-weights/Qwen/Qwen3-8B-Base](https://huggingface.co//lus/flare/projects/MultiModalLLM/model-weights/Qwen/Qwen3-8B-Base) on the rv5_g1_0_baseline_original_code, the instruct_replay and the edit_instruct datasets.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-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: 12
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+ - total_train_batch_size: 12
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+ - total_eval_batch_size: 96
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: warmup_stable_decay
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+ - lr_scheduler_warmup_steps: 178
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+ - training_steps: 5597
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.6
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+ - Pytorch 2.10.0a0+git449b176
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+ - Datasets 4.5.0
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+ - Tokenizers 0.22.2
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+ "</think>": 151668,
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+ "</tool_call>": 151658,
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+ "</tool_response>": 151666,
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+ "<think>": 151667,
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+ "<tool_call>": 151657,
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+ "<tool_response>": 151665,
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+ "<|box_end|>": 151649,
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+ "<|box_start|>": 151648,
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+ "<|vision_start|>": 151652
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+ }
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+ {
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+ "epoch": 0.45305164319248825,
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+ "total_flos": 2.4985159616803373e+19,
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+ "train_loss": 0.059759924299742084,
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+ "train_runtime": 5784.2106,
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+ "train_samples_per_second": 11.612,
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+ "train_steps_per_second": 0.968
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+ }
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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 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.role == "user") or (message.role == "system" and not loop.first) %}
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+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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+ {%- elif message.role == "assistant" %}
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+ {%- set content = message.content %}
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+ {%- set reasoning_content = '' %}
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+ {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
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+ {%- set reasoning_content = message.reasoning_content %}
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+ {%- else %}
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+ {%- if '</think>' in message.content %}
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+ {%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
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+ {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').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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+ {{- message.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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+ {
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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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+ "full_attention",
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+ "max_position_embeddings": 32768,
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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,
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+ "pad_token_id": 151643,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "transformers_version": "4.57.6",
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+ "use_cache": false,
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+ "use_sliding_window": false,
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+ "vocab_size": 151936
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+ }
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