<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
parrot_paraphraser_on_T5-finetuned-xsum-v5
This model is a fine-tuned version of prithivida/parrot_paraphraser_on_T5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0345
- Rouge1: 86.5078
- Rouge2: 84.8978
- Rougel: 86.4798
- Rougelsum: 86.4726
- Gen Len: 17.8462
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0663 | 1.0 | 2002 | 0.0539 | 86.0677 | 84.063 | 86.0423 | 86.0313 | 17.8671 |
| 0.0449 | 2.0 | 4004 | 0.0388 | 86.4564 | 84.7606 | 86.432 | 86.4212 | 17.8501 |
| 0.0269 | 3.0 | 6006 | 0.0347 | 86.4997 | 84.8907 | 86.4814 | 86.4744 | 17.8501 |
| 0.023 | 4.0 | 8008 | 0.0345 | 86.5078 | 84.8978 | 86.4798 | 86.4726 | 17.8462 |
Framework versions
- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
