finetune
This model is a fine-tuned version of google-bert/bert-base-uncased on 'rotten-tomatoes' dataset.
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-5
- train_batch_size: 16
- eval_batch_size: 16
- num_epochs: 2
Training results
| Training Loss | Epoch | Validation Loss | Accuracy |
|---|---|---|---|
| 0.128900 | 1.0 | 0.534306 | 0.869606 |
| 0.071900 | 2.0 | 0.705633 | 0.866792 |
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Model tree for myatsu/bert-uncased-rotten-tomatoes-sentiment
Base model
google-bert/bert-base-uncased