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--- |
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base_model: google/pegasus-large |
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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-large_readme_summarization |
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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-large_readme_summarization |
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This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9252 |
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- Rouge1: 0.4628 |
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- Rouge2: 0.3297 |
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- Rougel: 0.4358 |
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- Rougelsum: 0.4352 |
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- Gen Len: 35.4784 |
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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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### 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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| 2.2254 | 1.0 | 5831 | 2.0508 | 0.4183 | 0.2886 | 0.3888 | 0.3886 | 47.4245 | |
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| 2.0129 | 2.0 | 11662 | 1.9589 | 0.4437 | 0.3144 | 0.4154 | 0.4145 | 45.0024 | |
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| 1.8783 | 3.0 | 17493 | 1.9290 | 0.4598 | 0.3253 | 0.4308 | 0.4301 | 37.8441 | |
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| 1.6891 | 4.0 | 23324 | 1.9252 | 0.4628 | 0.3297 | 0.4358 | 0.4352 | 35.4784 | |
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### Framework versions |
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- Transformers 4.35.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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