llama3-tweety-8b-italian-sft-tagengo
This model is a fine-tuned version of RiTA-nlp/llama3-tweety-8b-italian on the RiTA-nlp/tagengo-gpt4-italian dataset. It achieves the following results on the evaluation set:
- Loss: 1.1623
Model description
More information needed
Intended uses & limitations
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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: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2156 | 1.0 | 219 | 1.1623 |
Framework versions
- PEFT 0.7.1
- Transformers 4.40.2
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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RiTA-nlp/llama3-tweety-8b-italian