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bart-finetuned-summarization-pubmed
venkyb/bart-finetuned-summarization-pubmed
bart-finetuned-summarization-pubmed is a machine learning model from venkyb. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Jul 13, 2023
- Updated
- Jul 14, 2023
- SHA
- 77eb08e8
Datasets
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-finetuned-summarization-pubmed
This model is a fine-tuned version of facebook/bart-large-cnn on the pubmed-summarization dataset. It achieves the following results on the evaluation set:
- Loss: 1.7193
- Rouge1: 43.1219
- Rouge2: 18.7311
- Rougel: 28.1006
- Rougelsum: 38.0914
- Gen Len: 128.6263
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: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 50
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.8564 | 1.0 | 2398 | 1.7437 | 43.2294 | 18.867 | 28.2156 | 38.1868 | 128.4766 |
| 1.75 | 2.0 | 4796 | 1.7193 | 43.1219 | 18.7311 | 28.1006 | 38.0914 | 128.6263 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Jul 13, 2023
- Updated
- Jul 14, 2023