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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_3 |
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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_3 |
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This model is a fine-tuned version of [Gayathri142214002/Pegasus_paraphraser_ComQG_2](https://huggingface.co/Gayathri142214002/Pegasus_paraphraser_ComQG_2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2753 |
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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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| 0.2237 | 0.47 | 1000 | 0.2237 | |
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| 0.244 | 0.93 | 2000 | 0.2321 | |
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| 0.2073 | 1.4 | 3000 | 0.2543 | |
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| 0.213 | 1.86 | 4000 | 0.2511 | |
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| 0.1863 | 2.33 | 5000 | 0.2712 | |
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| 0.1844 | 2.79 | 6000 | 0.2621 | |
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| 0.1707 | 3.26 | 7000 | 0.2778 | |
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| 0.1585 | 3.72 | 8000 | 0.2753 | |
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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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