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Finetuned_deberta-v3-base_SQUAD_2.0_v2
Deepanshu7284/Finetuned_deberta-v3-base_SQUAD_2.0_v2
Finetuned_deberta-v3-base_SQUAD_2.0_v2 is a question answering model from Deepanshu7284. 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
- Apr 8, 2025
- Updated
- Apr 8, 2025
- SHA
- 0e6a7658
Try a prompt
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. -->
Finetuned_deberta-v3-base_SQUAD_2.0_v2
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7361
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7309 | 1.0 | 8217 | 0.6978 |
| 0.632 | 2.0 | 16434 | 0.7361 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.5.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.0
- Task
- Question Answering
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025