metadata
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-base-qag-bg-finetuned-spelling6-bg
results: []
pegasus-base-qag-bg-finetuned-spelling6-bg
This model is a fine-tuned version of rmihaylov/pegasus-base-qag-bg on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5122
- Rouge1: 84.87
- Rouge2: 76.3663
- Rougel: 84.835
- Rougelsum: 84.8254
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: 5.6e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.6248 | 1.0 | 1563 | 0.5306 | 84.4974 | 75.7212 | 84.4591 | 84.45 |
| 0.4855 | 2.0 | 3126 | 0.5122 | 84.87 | 76.3663 | 84.835 | 84.8254 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2