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distilbert_finetuned_reviews_with_drift
This model is a fine-tuned version of distilbert-base-uncased on the reviews_with_drift dataset. It achieves the following results on the evaluation set:
- Loss: 0.3822
- Accuracy: 0.8548
- F1: 0.8547
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4173 | 1.0 | 620 | 0.3519 | 0.8511 | 0.8511 |
| 0.259 | 2.0 | 1240 | 0.3822 | 0.8548 | 0.8547 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
