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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: Pegasus_paraphraser_ComQG_2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Pegasus_paraphraser_ComQG_2
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This model is a fine-tuned version of [Gayathri142214002/Pegasus_paraphraser_1](https://huggingface.co/Gayathri142214002/Pegasus_paraphraser_1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2872
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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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 results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.2379 | 0.49 | 1000 | 0.2476 |
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| 0.2658 | 0.97 | 2000 | 0.2449 |
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| 0.2192 | 1.46 | 3000 | 0.2616 |
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| 0.2301 | 1.95 | 4000 | 0.2632 |
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| 0.1943 | 2.44 | 5000 | 0.2761 |
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| 0.2043 | 2.92 | 6000 | 0.2769 |
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| 0.1752 | 3.41 | 7000 | 0.2871 |
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| 0.1738 | 3.9 | 8000 | 0.2872 |
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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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