metadata
tags:
- generated_from_keras_callback
model-index:
- name: Nerdward/pegasus-tf-finetuned-model
results: []
Nerdward/pegasus-tf-finetuned-model
This model is a fine-tuned version of human-centered-summarization/financial-summarization-pegasus on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.0833
- Validation Loss: 1.3487
- 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 |
|---|---|---|
| 2.9216 | 1.8082 | 0 |
| 2.3339 | 1.5098 | 1 |
| 2.0833 | 1.3487 | 2 |
Framework versions
- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.7.1
- Tokenizers 0.13.2