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  1. .gitattributes +12 -0
  2. qwen2.5-1.5b-instruct/README.md +69 -0
  3. qwen2.5-1.5b-instruct/all_results.json +12 -0
  4. qwen2.5-1.5b-instruct/chat_template.jinja +54 -0
  5. qwen2.5-1.5b-instruct/checkpoint-142/chat_template.jinja +54 -0
  6. qwen2.5-1.5b-instruct/checkpoint-142/config.json +61 -0
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  11. qwen2.5-1.5b-instruct/checkpoint-142/rng_state_1.pth +3 -0
  12. qwen2.5-1.5b-instruct/checkpoint-142/scheduler.pt +3 -0
  13. qwen2.5-1.5b-instruct/checkpoint-142/tokenizer.json +3 -0
  14. qwen2.5-1.5b-instruct/checkpoint-142/tokenizer_config.json +30 -0
  15. qwen2.5-1.5b-instruct/checkpoint-142/trainer_state.json +1044 -0
  16. qwen2.5-1.5b-instruct/checkpoint-142/training_args.bin +3 -0
  17. qwen2.5-1.5b-instruct/checkpoint-213/chat_template.jinja +54 -0
  18. qwen2.5-1.5b-instruct/checkpoint-213/config.json +61 -0
  19. qwen2.5-1.5b-instruct/checkpoint-213/generation_config.json +13 -0
  20. qwen2.5-1.5b-instruct/checkpoint-213/model.safetensors +3 -0
  21. qwen2.5-1.5b-instruct/checkpoint-213/optimizer.pt +3 -0
  22. qwen2.5-1.5b-instruct/checkpoint-213/rng_state_0.pth +3 -0
  23. qwen2.5-1.5b-instruct/checkpoint-213/rng_state_1.pth +3 -0
  24. qwen2.5-1.5b-instruct/checkpoint-213/scheduler.pt +3 -0
  25. qwen2.5-1.5b-instruct/checkpoint-213/tokenizer.json +3 -0
  26. qwen2.5-1.5b-instruct/checkpoint-213/tokenizer_config.json +30 -0
  27. qwen2.5-1.5b-instruct/checkpoint-213/trainer_state.json +1557 -0
  28. qwen2.5-1.5b-instruct/checkpoint-213/training_args.bin +3 -0
  29. qwen2.5-1.5b-instruct/checkpoint-71/chat_template.jinja +54 -0
  30. qwen2.5-1.5b-instruct/checkpoint-71/config.json +61 -0
  31. qwen2.5-1.5b-instruct/checkpoint-71/generation_config.json +13 -0
  32. qwen2.5-1.5b-instruct/checkpoint-71/model.safetensors +3 -0
  33. qwen2.5-1.5b-instruct/checkpoint-71/optimizer.pt +3 -0
  34. qwen2.5-1.5b-instruct/checkpoint-71/rng_state_0.pth +3 -0
  35. qwen2.5-1.5b-instruct/checkpoint-71/rng_state_1.pth +3 -0
  36. qwen2.5-1.5b-instruct/checkpoint-71/scheduler.pt +3 -0
  37. qwen2.5-1.5b-instruct/checkpoint-71/tokenizer.json +3 -0
  38. qwen2.5-1.5b-instruct/checkpoint-71/tokenizer_config.json +30 -0
  39. qwen2.5-1.5b-instruct/checkpoint-71/trainer_state.json +539 -0
  40. qwen2.5-1.5b-instruct/checkpoint-71/training_args.bin +3 -0
  41. qwen2.5-1.5b-instruct/config.json +61 -0
  42. qwen2.5-1.5b-instruct/eval_results.json +7 -0
  43. qwen2.5-1.5b-instruct/generation_config.json +13 -0
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  47. qwen2.5-1.5b-instruct/train_results.json +8 -0
  48. qwen2.5-1.5b-instruct/trainer_log.jsonl +221 -0
  49. qwen2.5-1.5b-instruct/trainer_state.json +1566 -0
  50. qwen2.5-1.5b-instruct/training_args.bin +3 -0
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qwen2.5-1.5b-instruct/README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: other
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+ base_model: Qwen/Qwen2.5-1.5B-Instruct
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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: qwen2.5-1.5b-instruct
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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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+ # qwen2.5-1.5b-instruct
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+
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+ This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the wealth_train_20k_no_trace_generation dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.2276
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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: 1e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 128
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+ - total_train_batch_size: 512
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+ - total_eval_batch_size: 4
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) 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_steps: 0.1
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 0.4606 | 0.7111 | 50 | 0.4878 |
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+ | 0.4223 | 1.4124 | 100 | 0.4897 |
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+ | 0.3581 | 2.1138 | 150 | 0.4923 |
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+ | 0.3697 | 2.8249 | 200 | 0.4990 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 5.2.0
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+ - Pytorch 2.11.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.2
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+ {
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+ "epoch": 3.0,
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+ "eval_loss": 2.227557897567749,
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+ "eval_runtime": 8.5719,
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+ "train_loss": 0.0,
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+ "train_runtime": 3.3055,
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+ "train_samples_per_second": 16336.51,
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+ "train_steps_per_second": 32.673
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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'] }}
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+ {%- else %}
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+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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+ {%- endif %}
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+ {{- "\n\n# 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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+ {%- else %}
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+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- for message in messages %}
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+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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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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+ {%- if message.content %}
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+ {{- '\n' + message.content }}
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+ {%- endif %}
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+ {%- for tool_call in message.tool_calls %}
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+ {%- if tool_call.function is defined %}
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+ {%- set tool_call = tool_call.function %}
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+ {%- endif %}
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+ {{- '\n<tool_call>\n{"name": "' }}
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+ {{- tool_call.name }}
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+ {{- '", "arguments": ' }}
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+ {{- tool_call.arguments | tojson }}
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+ {{- '}\n</tool_call>' }}
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+ {%- endfor %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "tool" %}
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+ {%- if (loop.index0 == 0) 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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+ {%- endif %}
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+ {%- elif message.role == "tool" %}
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+ {{- message.content }}
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