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# llamantino7b_question_answering_finetuining_syntetic_2

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: 1.2242

## 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: 16
- eval_batch_size: 16
- 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4638        | 1.0   | 2    | 1.2864          |
| 1.3824        | 2.0   | 4    | 1.2242          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.2
{"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_syntetic_2", "results": []}]}
peft safetensors llama trl sft generated_from_trainer base_model:swap-uniba/LLaMAntino-2-7b-hf-ITA license:llama2 4-bit region:us