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: [] | |
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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 |