distilbert-base-uncased-finetuned-imdb
This model was trained from scratch on the imdb dataset.
It achieves the following results on the evaluation set:
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 2.7072 | 1.0 | 157 | 2.4852 |
| 2.573 | 2.0 | 314 | 2.4151 |
| 2.5113 | 3.0 | 471 | 2.4185 |
| 2.4979 | 4.0 | 628 | 2.3714 |
| 2.4843 | 5.0 | 785 | 2.4271 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
