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mdeberta-idkmrc
intanm/mdeberta-idkmrc
mdeberta-idkmrc is a question answering model from intanm. Use it when the input is a question plus a passage. 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
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Oct 21, 2023
- Updated
- Oct 22, 2023
- SHA
- 2034f51c
Try a prompt
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. -->
mdeberta-idkmrc
This model is a fine-tuned version of microsoft/mdeberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6436
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 1.074 | 1.0 | 1167 | 1.0261 |
| 0.7109 | 2.0 | 2334 | 0.8206 |
| 0.5088 | 3.0 | 3501 | 1.0899 |
| 0.3777 | 4.0 | 4668 | 1.0080 |
| 0.2585 | 5.0 | 5835 | 1.2647 |
| 0.2059 | 6.0 | 7002 | 1.4279 |
| 0.176 | 7.0 | 8169 | 1.4197 |
| 0.126 | 8.0 | 9336 | 1.6170 |
| 0.1017 | 9.0 | 10503 | 1.6357 |
| 0.0751 | 10.0 | 11670 | 1.6436 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Question Answering
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Oct 21, 2023
- Updated
- Oct 22, 2023