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--- |
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license: apache-2.0 |
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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: bart-large-finetuned-eLife |
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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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# bart-large-finetuned-eLife |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1974 |
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- Rouge1: 19.8802 |
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- Rouge2: 5.0391 |
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- Rougel: 14.8302 |
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- Rougelsum: 17.0969 |
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- Gen Len: 20.0 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 3 |
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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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| 2.6794 | 1.0 | 544 | 2.2901 | 19.6619 | 4.9774 | 14.5683 | 16.7854 | 20.0 | |
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| 2.3548 | 2.0 | 1088 | 2.2297 | 18.7282 | 4.8773 | 13.9942 | 16.2091 | 20.0 | |
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| 2.1888 | 3.0 | 1632 | 2.1974 | 19.8802 | 5.0391 | 14.8302 | 17.0969 | 20.0 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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