{
 "proj_name": "Qwen2.5-0.5B-Instruct-full-train",
 "learning_rate": 4e-06,
 "adam_epsilon": 1e-08,
 "batch_size": 4,
 "max_length": 8192,
 "num_train_epochs": 1,
 "train_data_path": "full-p2l-data",
 "val_data_path": "p2el/canonical_bt_val_data_11092024",
 "output_dir": "training_outputs",
 "pretrain_model_name": "Qwen/Qwen2.5-0.5B-Instruct",
 "gradient_accumulation_steps": 16,
 "chat_template": "{%- if messages[0]['role'] == 'system' %}\n    {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n\n",
 "model_type": "qwen2",
 "head_type": "bt",
 "loss_type": "bt_tie",
 "weighted_loss": false,
 "deepspeed_config_path": "deepspeed/zero1.json",
 "init_type": "reset_params",
 "load_train_data_from_disk": true
}