dummp
This model is a fine-tuned version of bert-base-cased on the yelp_review_full dataset. It achieves the following results on the evaluation set:
- Loss: 1.4199
- Accuracy: 0.638
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: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 125 | 0.9293 | 0.607 |
No log | 2.0 | 250 | 1.0291 | 0.626 |
No log | 3.0 | 375 | 1.2118 | 0.628 |
No log | 4.0 | 500 | 1.3472 | 0.633 |
No log | 5.0 | 625 | 1.4199 | 0.638 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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Dataset used to train rukshanCodeGen/dummp
Evaluation results
- Accuracy on yelp_review_fulltest set self-reported0.638