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Horovod_Tweet_Sentiment_1K_4eps
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: 0.6803332
- Train Accuracy: 0.57187504
- Validation Loss: 0.6883397
- Validation Accuracy: 0.54375
- Epoch: 3
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 |
|---|---|---|---|---|
| 0.70931095 | 0.5078125 | 0.81717503 | 0.528125 | 0 |
| 0.77384466 | 0.5296875 | 0.68696874 | 0.51875 | 1 |
| 0.68944424 | 0.53125 | 0.6837756 | 0.53125 | 2 |
| 0.6803332 | 0.57187504 | 0.6883397 | 0.54375 | 3 |
Framework versions
- Transformers 4.17.0
- TensorFlow 2.6.0
- Tokenizers 0.11.6
