metadata
base_model: google/pegasus-newsroom
tags:
- generated_from_trainer
model-index:
- name: pegasus-bbc-news
results: []
pegasus-bbc-news
This model is a fine-tuned version of google/pegasus-newsroom on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9082
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:
- learning_rate: 2e-06
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5578 | 1.0 | 519 | 4.0849 |
| 3.2058 | 2.0 | 1038 | 3.9417 |
| 6.0634 | 3.0 | 1557 | 3.9082 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1