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update model card README.md
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README.md
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---
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license: apache-2.0
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base_model: Gayathri142214002/Pegasus_paraphraser_Com_7
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tags:
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- generated_from_trainer
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model-index:
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This model is a fine-tuned version of [Gayathri142214002/Pegasus_paraphraser_Com_7](https://huggingface.co/Gayathri142214002/Pegasus_paraphraser_Com_7) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size:
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 4
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1
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- Datasets 2.
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- Tokenizers 0.
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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This model is a fine-tuned version of [Gayathri142214002/Pegasus_paraphraser_Com_7](https://huggingface.co/Gayathri142214002/Pegasus_paraphraser_Com_7) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1785
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 4
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.157 | 1.86 | 500 | 0.1640 |
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| 0.1376 | 3.72 | 1000 | 0.1785 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu117
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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