---
library_name: peft
license: apache-2.0
base_model: unsloth/Qwen3-8B
tags:
- base_model:adapter:unsloth/Qwen3-8B
- lora
- transformers
- unsloth
pipeline_tag: text-generation
model-index:
- name: qwen_medical_sft
  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. -->

# qwen_medical_sft

This model is a fine-tuned version of [unsloth/Qwen3-8B](https://huggingface.co/unsloth/Qwen3-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2534

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 3407
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.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: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3108        | 0.3419 | 50   | 1.2761          |
| 1.232         | 0.6838 | 100  | 1.2534          |


### Framework versions

- PEFT 0.18.0
- Transformers 4.56.2
- Pytorch 2.8.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1