|
--- |
|
tags: |
|
- generated_from_keras_callback |
|
base_model: google/pegasus-large |
|
model-index: |
|
- name: pegasus-large-musicLyrics |
|
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. --> |
|
|
|
# pegasus-large-musicLyrics |
|
|
|
This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 1.0472 |
|
- Train Sparse Categorical Accuracy: 0.7971 |
|
- Validation Loss: 1.0387 |
|
- Validation Sparse Categorical Accuracy: 0.7992 |
|
- Epoch: 2 |
|
|
|
## 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
|
- training_precision: float32 |
|
|
|
### Training results |
|
|
|
| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch | |
|
|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:| |
|
| 1.4713 | 0.7524 | 1.0652 | 0.7960 | 0 | |
|
| 1.0824 | 0.7934 | 1.0482 | 0.7982 | 1 | |
|
| 1.0472 | 0.7971 | 1.0387 | 0.7992 | 2 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.4 |
|
- TensorFlow 2.12.0 |
|
- Datasets 2.11.0 |
|
- Tokenizers 0.13.3 |
|
|
