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Pegasus_paraphraser_3
This model is a fine-tuned version of Gayathri142214002/Pegasus_paraphraser_2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2735
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2379 | 0.46 | 1000 | 0.2257 |
| 0.2471 | 0.91 | 2000 | 0.2310 |
| 0.2034 | 1.37 | 3000 | 0.2519 |
| 0.2011 | 1.83 | 4000 | 0.2442 |
| 0.1772 | 2.28 | 5000 | 0.2644 |
| 0.1695 | 2.74 | 6000 | 0.2562 |
| 0.1532 | 3.19 | 7000 | 0.2754 |
| 0.1417 | 3.65 | 8000 | 0.2735 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
