model-1-reverse-bart
This model is a fine-tuned version of eugenesiow/bart-paraphrase on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3347
- Rouge1: 95.4467
- Rouge2: 91.7522
- Rougel: 95.448
- Rougelsum: 95.4377
- Gen Len: 15.5478
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0744 | 1.0 | 28039 | 0.3347 | 95.4467 | 91.7522 | 95.448 | 95.4377 | 15.5478 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1