metadata
base_model: google/pegasus-large
tags:
- generated_from_trainer
datasets:
- wcep-10
model-index:
- name: thesis-pegasus-finetuned-wcep-500
results: []
thesis-pegasus-finetuned-wcep-500
This model is a fine-tuned version of google/pegasus-large on the wcep-10 dataset.
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-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 256 | 1.7937 | 28.0701 | 11.0071 | 21.0464 | 22.0484 | 95.9873 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2