distilbert-imdb-demo
This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.4328
- Accuracy: 0.928
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: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3459 | 1.0 | 2657 | 0.2362 | 0.9091 |
| 0.1612 | 2.0 | 5314 | 0.2668 | 0.9248 |
| 0.0186 | 3.0 | 7971 | 0.3274 | 0.9323 |
| 0.1005 | 4.0 | 10628 | 0.3978 | 0.9277 |
| 0.0006 | 5.0 | 13285 | 0.4328 | 0.928 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1
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