metadata
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: ghdi/punic-model
results: []
ghdi/punic-model
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 6.8629
- Validation Loss: 7.4881
- Epoch: 27
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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -984, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 10.9100 | 10.8188 | 0 |
| 10.7129 | 10.4690 | 1 |
| 10.3775 | 10.1048 | 2 |
| 10.0587 | 9.8271 | 3 |
| 9.8034 | 9.6395 | 4 |
| 9.6209 | 9.5085 | 5 |
| 9.5047 | 9.4043 | 6 |
| 9.3724 | 9.3072 | 7 |
| 9.2873 | 9.2090 | 8 |
| 9.1690 | 9.1091 | 9 |
| 8.9963 | 9.0013 | 10 |
| 8.8724 | 8.8875 | 11 |
| 8.7316 | 8.7701 | 12 |
| 8.6070 | 8.6477 | 13 |
| 8.4242 | 8.5243 | 14 |
| 8.2700 | 8.4018 | 15 |
| 8.1555 | 8.2834 | 16 |
| 7.9978 | 8.1696 | 17 |
| 7.8495 | 8.0607 | 18 |
| 7.6980 | 7.9635 | 19 |
| 7.5339 | 7.8726 | 20 |
| 7.4741 | 7.7917 | 21 |
| 7.3669 | 7.7233 | 22 |
| 7.2598 | 7.6604 | 23 |
| 7.1434 | 7.6088 | 24 |
| 7.0434 | 7.5579 | 25 |
| 6.9874 | 7.5171 | 26 |
| 6.8629 | 7.4881 | 27 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3