llama2-violencia_genero2
This model is a fine-tuned version of Qwen/Qwen2.5-Math-1.5B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 8.5655
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 | 8.6484 |
| No log | 2.0 | 6 | 8.6932 |
| No log | 3.0 | 9 | 8.6692 |
| 8.6405 | 4.0 | 12 | 8.6176 |
| 8.6405 | 5.0 | 15 | 8.6439 |
| 8.6405 | 6.0 | 18 | 8.5928 |
| 8.6401 | 7.0 | 21 | 8.6191 |
| 8.6401 | 8.0 | 24 | 8.5939 |
| 8.6401 | 9.0 | 27 | 8.5711 |
| 8.6115 | 10.0 | 30 | 8.5655 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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