---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B-Instruct
tags:
- generated_from_trainer
model-index:
- name: qwen-ft
  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-ft

This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.6514

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- training_steps: 800

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 7.7492        | 0.0920 | 50   | 7.5711          |
| 7.4321        | 0.1841 | 100  | 7.3186          |
| 7.0377        | 0.2761 | 150  | 6.9218          |
| 6.8861        | 0.3682 | 200  | 6.7542          |
| 6.7161        | 0.4602 | 250  | 6.5817          |
| 6.4542        | 0.5522 | 300  | 6.3050          |
| 6.3839        | 0.6443 | 350  | 6.2909          |
| 6.1342        | 0.7363 | 400  | 6.0133          |
| 5.9798        | 0.8283 | 450  | 5.8894          |
| 5.9043        | 0.9204 | 500  | 5.8061          |
| 5.889         | 1.0124 | 550  | 5.7376          |
| 5.7778        | 1.1045 | 600  | 5.6900          |
| 5.8077        | 1.1965 | 650  | 5.6643          |
| 5.7363        | 1.2885 | 700  | 5.6539          |
| 5.7524        | 1.3806 | 750  | 5.6515          |
| 5.7289        | 1.4726 | 800  | 5.6514          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1