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distilbert-base-uncased-finetuned-cuad_smaller_4
yogesh0502/distilbert-base-uncased-finetuned-cuad_smaller_4
distilbert-base-uncased-finetuned-cuad_smaller_4 is a question answering model from yogesh0502. 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
- May 18, 2023
- Updated
- May 18, 2023
- SHA
- f7ddb1c4
Try a prompt
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. -->
distilbert-base-uncased-finetuned-cuad_smaller_4
This model is a fine-tuned version of distilbert-base-uncased on the cuad_v1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1199
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: 0.0001
- train_batch_size: 40
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1067 | 1.0 | 3769 | 0.0894 |
| 0.0858 | 2.0 | 7538 | 0.1010 |
| 0.0683 | 3.0 | 11307 | 0.1043 |
| 0.0399 | 4.0 | 15076 | 0.1199 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 18, 2023
- Updated
- May 18, 2023