metadata
tags:
- generated_from_keras_callback
model-index:
- name: juancopi81/mutopia_guitar_mmm
results: []
juancopi81/mutopia_guitar_mmm
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1448
- Validation Loss: 1.9892
- Epoch: 14
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': 0.0005, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 1025, '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 |
|---|---|---|
| 2.2881 | 2.2059 | 0 |
| 1.7702 | 1.8533 | 1 |
| 1.4625 | 1.6948 | 2 |
| 1.2876 | 1.6865 | 3 |
| 1.1926 | 1.6414 | 4 |
| 1.1329 | 1.6360 | 5 |
| 1.1069 | 1.6448 | 6 |
| 1.0408 | 1.6207 | 7 |
| 0.8939 | 1.5837 | 8 |
| 0.7265 | 1.5901 | 9 |
| 0.5902 | 1.6261 | 10 |
| 0.4489 | 1.7007 | 11 |
| 0.3223 | 1.7940 | 12 |
| 0.2158 | 1.9032 | 13 |
| 0.1448 | 1.9892 | 14 |
Framework versions
- Transformers 4.22.2
- TensorFlow 2.8.2
- Datasets 2.5.1
- Tokenizers 0.12.1