---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: llawma-sum-2-7b
  results: []
datasets:
- dreamproit/bill_summary_us
language:
- en
---



# results

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the bill_summary_us dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6796

## Model description

More information needed

## Intended uses & limitations

Summarizing law texts. Language is limited to english.
## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6836        | 0.23  | 70   | 0.7197          |
| 0.651         | 0.46  | 140  | 0.7030          |
| 0.7863        | 0.7   | 210  | 0.6962          |
| 0.6061        | 0.93  | 280  | 0.6796          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0