yelp_review_classifier
This model is a fine-tuned version of google-bert/bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7297
- Accuracy: 0.6957
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7179 | 1.0 | 10157 | 0.7128 | 0.6876 |
| 0.6464 | 2.0 | 20314 | 0.6999 | 0.6943 |
| 0.5326 | 3.0 | 30471 | 0.7297 | 0.6957 |
Framework versions
- Transformers 4.51.1
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.1
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Base model
google-bert/bert-base-cased