distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of distilbert-base-uncased 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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
| 2.707 |
1.0 |
157 |
2.4884 |
| 2.5761 |
2.0 |
314 |
2.4230 |
| 2.5255 |
3.0 |
471 |
2.4356 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.11.0+cu102
- Datasets 2.2.0
- Tokenizers 0.11.0
