---
license: llama2
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: swap-uniba/LLaMAntino-2-7b-hf-ITA
model-index:
- name: llamantino7b_question_answering_finetuining
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llamantino7b_question_answering_finetuining

This model is a fine-tuned version of [swap-uniba/LLaMAntino-2-7b-hf-ITA](https://huggingface.co/swap-uniba/LLaMAntino-2-7b-hf-ITA) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2277

## 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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6498        | 1.0   | 90   | 0.0351          |
| 1.1895        | 2.0   | 180  | 0.0237          |
| 0.8519        | 3.0   | 270  | 0.0219          |
| 0.5762        | 4.0   | 360  | 0.0155          |
| 0.3852        | 5.0   | 450  | 0.0987          |
| 0.2445        | 6.0   | 540  | 0.1373          |
| 0.1554        | 7.0   | 630  | 0.2655          |
| 0.0989        | 8.0   | 720  | 0.0678          |
| 0.0607        | 9.0   | 810  | 0.1935          |
| 0.0397        | 10.0  | 900  | 0.2277          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.2