metadata
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: svenbl80/roberta-base-finetuned-new-mnli-run-7
results: []
svenbl80/roberta-base-finetuned-new-mnli-run-7
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0241
- Validation Loss: 0.7151
- Train Accuracy: 0.8677
- Epoch: 9
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', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 245430, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 0.4547 | 0.4001 | 0.8483 | 0 |
| 0.3254 | 0.3771 | 0.8589 | 1 |
| 0.2407 | 0.4036 | 0.8664 | 2 |
| 0.1754 | 0.4243 | 0.8649 | 3 |
| 0.1262 | 0.5004 | 0.8623 | 4 |
| 0.0910 | 0.5395 | 0.8643 | 5 |
| 0.0641 | 0.5816 | 0.8628 | 6 |
| 0.0455 | 0.6892 | 0.8678 | 7 |
| 0.0328 | 0.6864 | 0.8663 | 8 |
| 0.0241 | 0.7151 | 0.8677 | 9 |
Framework versions
- Transformers 4.28.0
- TensorFlow 2.9.1
- Datasets 2.15.0
- Tokenizers 0.13.3