<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
test_trainer
This model is a fine-tuned version of distilbert-base-cased on the yelp_review_full dataset. It achieves the following results on the evaluation set:
- Loss: 1.1033
- Accuracy: 0.628
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0473 | 1.0 | 1250 | 0.9373 | 0.59 |
| 0.7362 | 2.0 | 2500 | 0.9653 | 0.611 |
| 0.4692 | 3.0 | 3750 | 1.1033 | 0.628 |
Framework versions
- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
