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--- |
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tags: |
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- summarization |
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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-x-large-finetuned-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-x-large-finetuned-summarization |
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This model is a fine-tuned version of [google/pegasus-x-large](https://huggingface.co/google/pegasus-x-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9503 |
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- Rouge1: 54.656 |
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- Rouge2: 33.2773 |
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- Rougel: 44.7797 |
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- Rougelsum: 51.2888 |
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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: 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: 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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| 1.1821 | 1.0 | 308 | 0.9389 | 49.6848 | 29.0753 | 40.9828 | 47.1619 | |
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| 0.8932 | 2.0 | 616 | 0.8955 | 49.6176 | 28.8588 | 41.7149 | 47.3719 | |
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| 0.7433 | 3.0 | 924 | 0.9202 | 54.0016 | 31.8254 | 43.4441 | 50.9312 | |
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| 0.6495 | 4.0 | 1232 | 0.9321 | 52.6912 | 31.6843 | 43.8896 | 49.8726 | |
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| 0.587 | 5.0 | 1540 | 0.9503 | 54.656 | 33.2773 | 44.7797 | 51.2888 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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