---
library_name: peft
license: other
base_model: /root/autodl-tmp/models/Qwen2.5-7B-Instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: Qwen2.5-7B-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Qwen2.5-7B-lora

This model is a fine-tuned version of [/root/autodl-tmp/models/Qwen2.5-7B-Instruct](https://huggingface.co//root/autodl-tmp/models/Qwen2.5-7B-Instruct) on the Medical_Advisor dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6922

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.9239        | 0.8889 | 50   | 1.7333          |
| 1.702         | 1.7644 | 100  | 1.6984          |
| 1.6651        | 2.64   | 150  | 1.6924          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.48.2
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0