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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-dc |
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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-dc |
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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: 1.8597 |
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- Rouge1: 27.3461 |
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- Rouge2: 10.0857 |
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- Rougel: 20.6354 |
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- Rougelsum: 21.3828 |
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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: 4 |
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- eval_batch_size: 4 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
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| 2.5358 | 1.0 | 5351 | 2.1224 | 27.1433 | 9.5692 | 20.2667 | 20.9626 | |
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| 2.1878 | 2.0 | 10702 | 1.9799 | 27.25 | 10.0184 | 20.5798 | 21.3154 | |
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| 2.0224 | 3.0 | 16053 | 1.9143 | 27.2012 | 10.032 | 20.618 | 21.2959 | |
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| 1.9216 | 4.0 | 21404 | 1.8710 | 27.2179 | 10.0579 | 20.5572 | 21.3016 | |
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| 1.8644 | 5.0 | 26755 | 1.8597 | 27.3461 | 10.0857 | 20.6354 | 21.3828 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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