google_mobilebert-uncased_fold_2
This model is a fine-tuned version of google/mobilebert-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1152
- Accuracy: 0.9587
- F1: 0.9547
- Precision: 0.9608
- Recall: 0.9488
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: 2e-05
- train_batch_size: 40
- eval_batch_size: 40
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.1494 | 1.0 | 15481 | 0.1285 | 0.9496 | 0.9445 | 0.9540 | 0.9352 |
| 0.0827 | 2.0 | 30962 | 0.1849 | 0.9571 | 0.9529 | 0.9586 | 0.9473 |
| 0.0864 | 3.0 | 46443 | 0.1152 | 0.9587 | 0.9547 | 0.9608 | 0.9488 |
Framework versions
- Transformers 5.3.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.1
- Tokenizers 0.22.2