---
license: apache-2.0
base_model: Qwen/Qwen2-0.5B
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: LawToken-0.5B-a2
  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. -->

# LawToken-0.5B-a2

This model is a fine-tuned version of [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8634

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.14          | 0.14  | 10000 | 1.1605          |
| 1.0485        | 0.28  | 20000 | 1.0663          |
| 1.0592        | 0.42  | 30000 | 1.0069          |
| 0.9293        | 0.56  | 40000 | 0.9609          |
| 0.8503        | 0.71  | 50000 | 0.9210          |
| 0.9322        | 0.85  | 60000 | 0.8858          |
| 0.8238        | 0.99  | 70000 | 0.8634          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.3.0a0+ebedce2
- Datasets 2.19.1
- Tokenizers 0.15.2