metadata
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: bart-large-finetuned-filtered-spotify-podcast-summ
results: []
bart-large-finetuned-filtered-spotify-podcast-summ
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.2967
- Validation Loss: 2.8316
- 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 3.0440 | 2.8733 | 0 |
| 2.6085 | 2.8549 | 1 |
| 2.2967 | 2.8316 | 2 |
Framework versions
- Transformers 4.19.4
- TensorFlow 2.9.1
- Datasets 2.3.1
- Tokenizers 0.12.1