---
license: other
base_model: baffo32/decapoda-research-llama-7B-hf
tags:
- generated_from_trainer
model-index:
- name: llama-7b-absa-restaurants
  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. -->

# llama-7b-absa-restaurants

This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/baffo32/decapoda-research-llama-7B-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0455

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 600
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1265        | 0.36  | 40   | 0.0377          |
| 0.0356        | 0.72  | 80   | 0.0319          |
| 0.0292        | 1.08  | 120  | 0.0276          |
| 0.0199        | 1.44  | 160  | 0.0264          |
| 0.0211        | 1.8   | 200  | 0.0277          |
| 0.0162        | 2.16  | 240  | 0.0306          |
| 0.012         | 2.52  | 280  | 0.0280          |
| 0.0121        | 2.88  | 320  | 0.0301          |
| 0.0075        | 3.24  | 360  | 0.0370          |
| 0.0052        | 3.6   | 400  | 0.0379          |
| 0.0058        | 3.96  | 440  | 0.0336          |
| 0.0026        | 4.32  | 480  | 0.0484          |
| 0.0016        | 4.68  | 520  | 0.0455          |
| 0.0021        | 5.05  | 560  | 0.0439          |
| 0.0008        | 5.41  | 600  | 0.0455          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2