imdbdata
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2437
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2749 | 1.0 | 1563 | 0.2548 |
| 0.2723 | 2.0 | 3126 | 0.2493 |
| 0.271 | 3.0 | 4689 | 0.2437 |
| 0.2581 | 4.0 | 6252 | 0.2446 |
| 0.2743 | 5.0 | 7815 | 0.2437 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.5.1+cu121
- Datasets 4.5.0
- Tokenizers 0.22.2