pegasus-large-finetuned-samsum
This model is a fine-tuned version of google/pegasus-large on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.3643
- Rouge1: 52.7469
- Rouge2: 29.0351
- Rougel: 44.8192
- Rougelsum: 48.8073
- Gen Len: 21.9095
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: 0.0002
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4754 | 1.0 | 7366 | 1.3643 | 52.7469 | 29.0351 | 44.8192 | 48.8073 | 21.9095 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3