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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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metrics:
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- rouge
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model-index:
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- name: pegasus-model3-0810
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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-model3-0810
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This model is a fine-tuned version of [theojolliffe/pegasus-model-3-x25](https://huggingface.co/theojolliffe/pegasus-model-3-x25) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0128
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- Rouge1: 74.5218
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- Rouge2: 73.9903
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- Rougel: 74.4946
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- Rougelsum: 74.7509
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- Gen Len: 122.9655
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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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- 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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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
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| 0.3663 | 1.0 | 547 | 0.0960 | 70.3803 | 65.6296 | 64.7957 | 69.7556 | 122.7241 |
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| 0.127 | 2.0 | 1094 | 0.0276 | 74.3121 | 73.3963 | 74.026 | 74.502 | 122.9655 |
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| 0.0706 | 3.0 | 1641 | 0.0157 | 74.4541 | 73.5817 | 74.1314 | 74.5238 | 122.9655 |
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| 0.046 | 4.0 | 2188 | 0.0128 | 74.5218 | 73.9903 | 74.4946 | 74.7509 | 122.9655 |
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### Framework versions
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- Transformers 4.22.2
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- Pytorch 1.12.1+cu113
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- Datasets 2.5.2
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- Tokenizers 0.12.1
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