metadata
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: []
llamantino7b_question_answering_finetuining
This model is a fine-tuned version of 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