---
license: other
base_model: baffo32/decapoda-research-llama-7B-hf
tags:
- generated_from_trainer
model-index:
- name: llama-7b-absa-MT-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-MT-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: 0.0061

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0939        | 0.13  | 40   | 0.0302          |
| 0.0258        | 0.25  | 80   | 0.0237          |
| 0.0223        | 0.38  | 120  | 0.0208          |
| 0.0198        | 0.51  | 160  | 0.0182          |
| 0.0159        | 0.63  | 200  | 0.0163          |
| 0.0158        | 0.76  | 240  | 0.0137          |
| 0.0125        | 0.89  | 280  | 0.0126          |
| 0.0118        | 1.01  | 320  | 0.0111          |
| 0.0078        | 1.14  | 360  | 0.0098          |
| 0.0059        | 1.27  | 400  | 0.0095          |
| 0.006         | 1.39  | 440  | 0.0091          |
| 0.0052        | 1.52  | 480  | 0.0078          |
| 0.0059        | 1.65  | 520  | 0.0068          |
| 0.0045        | 1.77  | 560  | 0.0066          |
| 0.0044        | 1.9   | 600  | 0.0061          |


### Framework versions

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