llama2-violencia_genero
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 11.5478
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 3 | 12.5506 |
| No log | 2.0 | 6 | 12.5186 |
| No log | 3.0 | 9 | 12.3555 |
| 14.4441 | 4.0 | 12 | 12.1632 |
| 14.4441 | 5.0 | 15 | 12.0007 |
| 14.4441 | 6.0 | 18 | 11.7902 |
| 13.8938 | 7.0 | 21 | 11.6535 |
| 13.8938 | 8.0 | 24 | 11.5517 |
| 13.8938 | 9.0 | 27 | 11.5325 |
| 13.5263 | 10.0 | 30 | 11.5478 |
Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.6.0+cu118
- Datasets 3.3.2
- Tokenizers 0.21.0
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Model tree for MelisaO/llama2-violencia_genero
Base model
meta-llama/Llama-2-7b-chat-hf