Pegasus_paraphraser_Com_11
This model is a fine-tuned version of Gayathri142214002/Pegasus_paraphraser_Com_10 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1738
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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 |
---|---|---|---|
0.1501 | 1.83 | 500 | 0.1612 |
0.1321 | 3.66 | 1000 | 0.1738 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
Gayathri142214002/Pegasus_paraphraser_Com_8