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--- |
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license: llama2 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: swap-uniba/LLaMAntino-2-7b-hf-ITA |
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model-index: |
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- name: llamantino7b_question_answering_finetuining |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# llamantino7b_question_answering_finetuining |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2277 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.6498 | 1.0 | 90 | 0.0351 | |
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| 1.1895 | 2.0 | 180 | 0.0237 | |
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| 0.8519 | 3.0 | 270 | 0.0219 | |
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| 0.5762 | 4.0 | 360 | 0.0155 | |
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| 0.3852 | 5.0 | 450 | 0.0987 | |
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| 0.2445 | 6.0 | 540 | 0.1373 | |
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| 0.1554 | 7.0 | 630 | 0.2655 | |
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| 0.0989 | 8.0 | 720 | 0.0678 | |
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| 0.0607 | 9.0 | 810 | 0.1935 | |
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| 0.0397 | 10.0 | 900 | 0.2277 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
