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distilroberta-base-finetuned-wikitext2-SQuAD-qa-WandB2
Madhana/distilroberta-base-finetuned-wikitext2-SQuAD-qa-WandB2
distilroberta-base-finetuned-wikitext2-SQuAD-qa-WandB2 is a question answering model from Madhana. 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
- roberta
- Access
- Public
- Created
- Feb 19, 2023
- Updated
- Feb 19, 2023
- SHA
- f740f5e3
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. -->
distilroberta-base-finetuned-wikitext2-SQuAD-qa-WandB2
This model is a fine-tuned version of Madhana/distilroberta-base-finetuned-wikitext2 on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.0120
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0791 | 1.0 | 10950 | 1.0560 |
| 0.8658 | 2.0 | 21900 | 1.0120 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Feb 19, 2023
- Updated
- Feb 19, 2023