Goodreads_Books_Reviews_distilbert
This model is a fine-tuned version of distilbert-base-uncased on the Goodreads Books Reviews dataset. It achieves the following results on the evaluation set:
- Loss: 0.9281
- F1: 0.6246
- Accuracy: 0.6338
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: 32
- eval_batch_size: 32
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|---|---|---|---|---|---|
| 0.9445 | 1.0 | 9780 | 0.9275 | 0.6058 | 0.6228 |
| 0.8688 | 2.0 | 19560 | 0.9090 | 0.6227 | 0.6291 |
| 0.7786 | 3.0 | 29340 | 0.9281 | 0.6246 | 0.6338 |
| 0.7039 | 4.0 | 39120 | 0.9576 | 0.6226 | 0.6314 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1