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parrot_paraphraser_on_T5-finetuned-xsum-v7
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: 0.0316
- Rouge1: 86.4178
- Rouge2: 84.901
- Rougel: 86.458
- Rougelsum: 86.4281
- Gen Len: 17.887
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 |
|---|---|---|---|---|---|---|---|---|
| 0.0752 | 1.0 | 2000 | 0.0439 | 86.0044 | 84.1284 | 86.0265 | 86.0167 | 17.895 |
| 0.0454 | 2.0 | 4000 | 0.0352 | 86.2948 | 84.6092 | 86.3256 | 86.293 | 17.88 |
| 0.0308 | 3.0 | 6000 | 0.0324 | 86.3316 | 84.7883 | 86.374 | 86.3355 | 17.887 |
| 0.0242 | 4.0 | 8000 | 0.0316 | 86.4178 | 84.901 | 86.458 | 86.4281 | 17.887 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
