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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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- xsum_v1_last
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- generated_from_trainer
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datasets:
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- xsum
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metrics:
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- rouge
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model-index:
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- name: pegasus-large-finetune-xsum
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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: xsum
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type: xsum
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args: default
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metrics:
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- name: Rouge1
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type: rouge
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value: 5.0462
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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-large-finetune-xsum
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This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the xsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 10.0826
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- Rouge1: 5.0462
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- Rouge2: 0.6914
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- Rougel: 3.5071
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- Rougelsum: 3.9548
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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: 5.6e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 3
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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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| 11.4044 | 1.0 | 13 | 10.7501 | 5.5154 | 0.5561 | 3.8425 | 4.2435 |
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| 10.5741 | 2.0 | 26 | 10.2309 | 5.4282 | 0.7228 | 3.5759 | 4.0538 |
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| 10.0146 | 3.0 | 39 | 10.0826 | 5.0462 | 0.6914 | 3.5071 | 3.9548 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.13.0
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- Datasets 2.6.1
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- Tokenizers 0.11.0
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