---
license: apache-2.0
base_model: Qwen/Qwen2-1.5B
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: LawToken-1.5B-baseline
  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-1.5B-baseline

This model is a fine-tuned version of [Qwen/Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7613

## 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
- num_devices: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9956        | 0.27  | 10000 | 0.9392          |
| 0.8306        | 0.54  | 20000 | 0.8382          |
| 0.7346        | 0.8   | 30000 | 0.7613          |


### Framework versions

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