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bart-large-finetuned-eLife
PeterBanning71/bart-large-finetuned-eLife
bart-large-finetuned-eLife is a summarization model from PeterBanning71. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Feb 12, 2023
- Updated
- Feb 13, 2023
- SHA
- 4728140d
Try a prompt
Model card
From the Hugging Face model README
<!-- 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 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
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
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 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Summarization
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Feb 12, 2023
- Updated
- Feb 13, 2023