---
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
base_model: RiTA-nlp/llama3-tweety-8b-italian
datasets:
- RiTA-nlp/tagengo-gpt4-italian
model-index:
- name: llama3-tweety-8b-italian-sft-tagengo
  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. -->

# llama3-tweety-8b-italian-sft-tagengo

This model is a fine-tuned version of [RiTA-nlp/llama3-tweety-8b-italian](https://huggingface.co./RiTA-nlp/llama3-tweety-8b-italian) on the RiTA-nlp/tagengo-gpt4-italian dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1623

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2156        | 1.0   | 219  | 1.1623          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.40.2
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1