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Horovod_Tweet_Sentiment_1k_3eps
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6961535
- Train Accuracy: 0.49375
- Validation Loss: 0.6676211
- Validation Accuracy: 0.64375
- Epoch: 2
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:
- optimizer: {'name': 'Adam', 'clipnorm': 1.0, 'learning_rate': 0.0003, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 0.717013 | 0.46562502 | 0.73462963 | 0.515625 | 0 |
| 0.70586157 | 0.5078125 | 0.6937375 | 0.484375 | 1 |
| 0.6961535 | 0.49375 | 0.6676211 | 0.64375 | 2 |
Framework versions
- Transformers 4.17.0
- TensorFlow 2.6.0
- Tokenizers 0.11.6
