model_part3_muril_final_fixed
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0249
- F1: 0.9742
- Precision: 0.9913
- Recall: 0.9578
- Fpr: 0.0084
- Fnr: 0.0422
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Fpr | Fnr |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 119 | 0.0189 | 0.9676 | 0.9912 | 0.9451 | 0.0084 | 0.0549 |
| No log | 2.0 | 238 | 0.0241 | 0.9676 | 0.9912 | 0.9451 | 0.0084 | 0.0549 |
| No log | 3.0 | 357 | 0.0268 | 0.9742 | 0.9913 | 0.9578 | 0.0084 | 0.0422 |
| No log | 4.0 | 476 | 0.0249 | 0.9742 | 0.9913 | 0.9578 | 0.0084 | 0.0422 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2