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pubhealth-expanded-1
zwellington/pubhealth-expanded-1
pubhealth-expanded-1 is a machine learning model from zwellington. 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
- Aug 5, 2023
- Updated
- Aug 5, 2023
- SHA
- 8781c088
Base models
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. -->
pubhealth-expanded-1
This model is a fine-tuned version of facebook/bart-base on the clupubhealth dataset. It achieves the following results on the evaluation set:
- Loss: 2.3198
- Rouge1: 28.6755
- Rouge2: 9.2869
- Rougel: 21.9675
- Rougelsum: 22.2946
- Gen Len: 19.85
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: 12
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 120
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.6788 | 0.08 | 40 | 2.3758 | 29.5273 | 9.3588 | 22.4799 | 22.6212 | 19.835 |
| 3.4222 | 0.15 | 80 | 2.3484 | 29.0821 | 9.1988 | 22.3907 | 22.5996 | 19.88 |
| 3.3605 | 0.23 | 120 | 2.3500 | 29.2893 | 9.296 | 22.1247 | 22.4075 | 19.94 |
| 3.3138 | 0.31 | 160 | 2.3504 | 29.039 | 8.907 | 21.9631 | 22.2506 | 19.91 |
| 3.2678 | 0.39 | 200 | 2.3461 | 29.678 | 9.4429 | 22.3439 | 22.6962 | 19.92 |
| 3.2371 | 0.46 | 240 | 2.3267 | 28.535 | 9.1858 | 21.3721 | 21.6634 | 19.915 |
| 3.204 | 0.54 | 280 | 2.3330 | 29.0796 | 9.4283 | 21.8953 | 22.1867 | 19.885 |
| 3.1881 | 0.62 | 320 | 2.3164 | 29.1456 | 9.1919 | 21.9529 | 22.235 | 19.945 |
| 3.1711 | 0.69 | 360 | 2.3208 | 29.3212 | 9.4823 | 22.1643 | 22.4159 | 19.895 |
| 3.1752 | 0.77 | 400 | 2.3239 | 29.0408 | 9.3615 | 21.8007 | 22.0795 | 19.945 |
| 3.1591 | 0.85 | 440 | 2.3218 | 28.6336 | 9.2799 | 21.5843 | 21.9422 | 19.845 |
| 3.1663 | 0.93 | 480 | 2.3198 | 28.6755 | 9.2869 | 21.9675 | 22.2946 | 19.85 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Aug 5, 2023
- Updated
- Aug 5, 2023