| --- |
| license: apache-2.0 |
| tags: |
| - summarization |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: bart-large-finetuned-eLife |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # bart-large-finetuned-eLife |
|
|
| This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.1974 |
| - Rouge1: 19.8802 |
| - Rouge2: 5.0391 |
| - Rougel: 14.8302 |
| - Rougelsum: 17.0969 |
| - Gen Len: 20.0 |
|
|
| ## Model description |
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| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
| | 2.6794 | 1.0 | 544 | 2.2901 | 19.6619 | 4.9774 | 14.5683 | 16.7854 | 20.0 | |
| | 2.3548 | 2.0 | 1088 | 2.2297 | 18.7282 | 4.8773 | 13.9942 | 16.2091 | 20.0 | |
| | 2.1888 | 3.0 | 1632 | 2.1974 | 19.8802 | 5.0391 | 14.8302 | 17.0969 | 20.0 | |
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| ### Framework versions |
|
|
| - Transformers 4.26.1 |
| - Pytorch 1.13.1+cu116 |
| - Datasets 2.9.0 |
| - Tokenizers 0.13.2 |
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|
