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roberta_fine_tuned_qa_model
pranjal0198/roberta_fine_tuned_qa_model
roberta_fine_tuned_qa_model is a question answering model from pranjal0198. 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
- roberta
- Access
- Public
- Created
- Aug 30, 2023
- Updated
- Oct 16, 2023
- SHA
- 74b98033
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. -->
roberta_fine_tuned_qa_model
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0295
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|
| 1.2458 | 1.0 | 1000 | 1.1327 |
| 0.753 | 2.0 | 2000 | 1.2129 |
| 0.479 | 3.0 | 3000 | 1.4913 |
| 0.3606 | 4.0 | 4000 | 1.7434 |
| 0.231 | 5.0 | 5000 | 2.0295 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Aug 30, 2023
- Updated
- Oct 16, 2023