pegasus-base-qag-bg-finetuned-grammar-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: 1.2544
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 1.4405 | 1.0 | 375 | 1.2704 |
| 1.2396 | 2.0 | 750 | 1.2544 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1