distilbert-base-uncased_imdb_reviews
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2549
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.385 | 0.4 | 500 | 0.3796 |
| 0.2803 | 0.8 | 1000 | 0.2549 |
| 0.208 | 1.2 | 1500 | 0.3218 |
| 0.1655 | 1.6 | 2000 | 0.2577 |
| 0.153 | 2.0 | 2500 | 0.2718 |
| 0.0552 | 2.4 | 3000 | 0.3514 |
| 0.0667 | 2.8 | 3500 | 0.3427 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2