---
tags:
- generated_from_keras_callback
model-index:
- name: juancopi81/mutopia_guitar_mmm
  results: []
---

<!-- 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. -->

# 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