<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
mbart
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.5342
- Validation Loss: 0.5633
- Epoch: 35
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': 'SGD', 'learning_rate': 0.01, 'decay': 0.0, 'momentum': 0.9, 'nesterov': False}
- training_precision: mixed_bfloat16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 4.5626 | 3.7843 | 0 |
| 2.5836 | 1.9212 | 1 |
| 1.6546 | 1.2552 | 2 |
| 1.2499 | 1.0248 | 3 |
| 1.0088 | 0.8457 | 4 |
| 0.9100 | 0.7958 | 5 |
| 0.8290 | 0.8421 | 6 |
| 0.7999 | 0.7625 | 7 |
| 0.7633 | 0.7202 | 8 |
| 0.7439 | 0.7100 | 9 |
| 0.7182 | 0.6787 | 10 |
| 0.7092 | 0.6877 | 11 |
| 0.6823 | 0.6684 | 12 |
| 0.6738 | 0.6712 | 13 |
| 0.6603 | 0.6858 | 14 |
| 0.6462 | 0.6268 | 15 |
| 0.6373 | 0.6208 | 16 |
| 0.6424 | 0.6735 | 17 |
| 0.6259 | 0.6423 | 18 |
| 0.6249 | 0.6069 | 19 |
| 0.6148 | 0.6510 | 20 |
| 0.6063 | 0.6207 | 21 |
| 0.5987 | 0.5977 | 22 |
| 0.5917 | 0.6019 | 23 |
| 0.5800 | 0.5828 | 24 |
| 0.5779 | 0.5505 | 25 |
| 0.5765 | 0.5887 | 26 |
| 0.5667 | 0.5989 | 27 |
| 0.5623 | 0.5859 | 28 |
| 0.5564 | 0.5907 | 29 |
| 0.5523 | 0.5928 | 30 |
| 0.5478 | 0.5624 | 31 |
| 0.5472 | 0.5563 | 32 |
| 0.5462 | 0.5953 | 33 |
| 0.5324 | 0.5593 | 34 |
| 0.5342 | 0.5633 | 35 |
Framework versions
- Transformers 4.19.2
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1
