results / README.md
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llamantino7b_question_answering_finetuining
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---
license: llama2
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: swap-uniba/LLaMAntino-2-7b-hf-ITA
model-index:
- name: results
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. -->
# results
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: 1.4095
## 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: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6551 | 1.0 | 90 | 1.4257 |
| 1.1957 | 2.0 | 180 | 1.3750 |
| 0.8459 | 3.0 | 270 | 1.4095 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.2