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bart-paraphrase-pubmed-1.1
gayanin/bart-paraphrase-pubmed-1.1
bart-paraphrase-pubmed-1.1 is a machine learning model from gayanin. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Nov 6, 2021
- SHA
- a5c6b2e4
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-paraphrase-pubmed-1.1
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4236
- Rouge2 Precision: 0.8482
- Rouge2 Recall: 0.673
- Rouge2 Fmeasure: 0.7347
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 0.6534 | 1.0 | 663 | 0.4641 | 0.8448 | 0.6691 | 0.7313 |
| 0.5078 | 2.0 | 1326 | 0.4398 | 0.8457 | 0.6719 | 0.7333 |
| 0.4367 | 3.0 | 1989 | 0.4274 | 0.847 | 0.6717 | 0.7335 |
| 0.3575 | 4.0 | 2652 | 0.4149 | 0.8481 | 0.6733 | 0.735 |
| 0.3319 | 5.0 | 3315 | 0.4170 | 0.8481 | 0.6724 | 0.7343 |
| 0.3179 | 6.0 | 3978 | 0.4264 | 0.8484 | 0.6733 | 0.735 |
| 0.2702 | 7.0 | 4641 | 0.4207 | 0.8489 | 0.6732 | 0.7353 |
| 0.2606 | 8.0 | 5304 | 0.4205 | 0.8487 | 0.6725 | 0.7347 |
| 0.2496 | 9.0 | 5967 | 0.4247 | 0.8466 | 0.6717 | 0.7334 |
| 0.2353 | 10.0 | 6630 | 0.4236 | 0.8482 | 0.673 | 0.7347 |
Framework versions
- Transformers 4.12.3
- Pytorch 1.9.0+cu111
- Datasets 1.15.1
- Tokenizers 0.10.3
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Nov 6, 2021