Pegasus_paraphraser_Com_2
This model is a fine-tuned version of Gayathri142214002/Pegasus_paraphraser on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3374
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 |
---|---|---|---|
0.4477 | 0.29 | 500 | 0.3761 |
0.4244 | 0.58 | 1000 | 0.3560 |
0.3958 | 0.87 | 1500 | 0.3475 |
0.3396 | 1.16 | 2000 | 0.3404 |
0.3041 | 1.45 | 2500 | 0.3419 |
0.3114 | 1.74 | 3000 | 0.3290 |
0.3066 | 2.03 | 3500 | 0.3337 |
0.2461 | 2.32 | 4000 | 0.3375 |
0.258 | 2.61 | 4500 | 0.3307 |
0.2567 | 2.9 | 5000 | 0.3301 |
0.2264 | 3.2 | 5500 | 0.3421 |
0.2188 | 3.49 | 6000 | 0.3393 |
0.2132 | 3.78 | 6500 | 0.3374 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
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