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distilbert-base-uncased-finetuned-diabetes-v2
LeWince/distilbert-base-uncased-finetuned-diabetes-v2
distilbert-base-uncased-finetuned-diabetes-v2 is a question answering model from LeWince. Use it when the input is a question plus a passage. 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
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jul 11, 2023
- Updated
- Aug 11, 2023
- SHA
- 6f060a1e
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. -->
distilbert-base-uncased-finetuned-diabetes-v2
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3478
- Rouge1: 0.8752
- Rouge2: 0.5829
- Rougel: 0.5624
- Rougelsum: 0.5624
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.3883 | 1.0 | 5992 | 0.3311 | 0.7572 | 0.5600 | 0.5547 | 0.5547 |
| 0.3113 | 2.0 | 11984 | 0.3126 | 0.7785 | 0.5312 | 0.5344 | 0.5344 |
| 0.272 | 3.0 | 17976 | 0.2679 | 0.8374 | 0.5959 | 0.5629 | 0.5629 |
| 0.2361 | 4.0 | 23968 | 0.2686 | 0.8229 | 0.6013 | 0.5672 | 0.5672 |
| 0.2242 | 5.0 | 29960 | 0.2903 | 0.8145 | 0.5804 | 0.5604 | 0.5604 |
| 0.2128 | 6.0 | 35952 | 0.2885 | 0.8533 | 0.5852 | 0.5551 | 0.5551 |
| 0.1996 | 7.0 | 41944 | 0.2984 | 0.8526 | 0.5844 | 0.5602 | 0.5602 |
| 0.1875 | 8.0 | 47936 | 0.3170 | 0.8684 | 0.5852 | 0.5638 | 0.5638 |
| 0.1751 | 9.0 | 53928 | 0.3245 | 0.8702 | 0.5796 | 0.5604 | 0.5604 |
| 0.1652 | 10.0 | 59920 | 0.3478 | 0.8752 | 0.5829 | 0.5624 | 0.5624 |
Framework versions
- Transformers 4.28.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 11, 2023
- Updated
- Aug 11, 2023