---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B
tags:
- generated_from_trainer
datasets:
- arrow
model-index:
- name: SLM_LAW
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SLM_LAW

This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on the arrow dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1380

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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: 1000
- num_epochs: 12

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.5039        | 0.0248 | 500  | 1.4864          |
| 1.4341        | 0.0496 | 1000 | 1.4603          |
| 1.3489        | 0.0744 | 1500 | 1.3271          |
| 1.2564        | 0.0992 | 2000 | 1.2632          |
| 1.2071        | 0.1240 | 2500 | 1.2287          |
| 1.1771        | 0.1488 | 3000 | 1.2031          |
| 1.1565        | 0.1737 | 3500 | 1.1845          |
| 1.1338        | 0.1985 | 4000 | 1.1688          |
| 1.1158        | 0.2233 | 4500 | 1.1507          |
| 1.0999        | 0.2481 | 5000 | 1.1380          |


### Framework versions

- Transformers 4.52.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.0