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deberta-v3-large_fact_retrieval_k_3
asn1814/deberta-v3-large_fact_retrieval_k_3
deberta-v3-large_fact_retrieval_k_3 is a multiple choice model from asn1814. Use it for the multiple choice 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Mar 7, 2024
- Updated
- Mar 7, 2024
- SHA
- 34075240
Base models
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. -->
deberta-v3-large_fact_retrieval_k_3
This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0212
- Accuracy: 0.844
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6635 | 1.0 | 310 | 0.4912 | 0.82 |
| 0.2018 | 2.0 | 620 | 0.6005 | 0.848 |
| 0.0534 | 3.0 | 930 | 0.8577 | 0.834 |
| 0.0253 | 4.0 | 1240 | 0.9265 | 0.83 |
| 0.011 | 5.0 | 1550 | 1.0212 | 0.844 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- multiple choice
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Mar 7, 2024
- Updated
- Mar 7, 2024