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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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- generated_from_trainer
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datasets:
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- samsum
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metrics:
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- rouge
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model-index:
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- name: pegasus-large-samsum
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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: samsum
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type: samsum
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args: samsum
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metrics:
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- name: Rouge1
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type: rouge
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value: 48.0968
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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-samsum
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This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4109
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- Rouge1: 48.0968
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- Rouge2: 24.6663
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- Rougel: 40.2569
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- Rougelsum: 44.0137
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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: 2e-05
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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: 64
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- total_train_batch_size: 64
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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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| No log | 1.0 | 230 | 1.4646 | 45.0631 | 22.5567 | 38.0518 | 41.2694 |
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| No log | 2.0 | 460 | 1.4203 | 47.4122 | 24.158 | 39.7414 | 43.3485 |
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| 1.699 | 3.0 | 690 | 1.4109 | 48.0968 | 24.6663 | 40.2569 | 44.0137 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.12.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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