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update model card README.md
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README.md
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---
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tags:
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- paraphrasing
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- generated_from_trainer
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datasets:
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- paws
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metrics:
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- rouge
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model-index:
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- name: pegasus-xsum-finetuned-paws
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: paws
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type: paws
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args: labeled_final
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metrics:
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- name: Rouge1
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type: rouge
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value: 92.4371
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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-xsum-finetuned-paws
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This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on the paws dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1199
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- Rouge1: 92.4371
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- Rouge2: 75.4061
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- Rougel: 84.1519
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- Rougelsum: 84.1958
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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: 32
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- eval_batch_size: 16
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- seed: 42
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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: 5
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- mixed_precision_training: Native AMP
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- label_smoothing_factor: 0.1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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| 2.1481 | 1.46 | 1000 | 2.0112 | 93.7727 | 73.3021 | 84.2963 | 84.2506 |
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| 2.0113 | 2.93 | 2000 | 2.0579 | 93.813 | 73.4119 | 84.3674 | 84.2693 |
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| 2.054 | 4.39 | 3000 | 2.0890 | 93.3926 | 73.3727 | 84.2814 | 84.1649 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.11.0
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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