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my_awesome_qa_model
sauravns/my_awesome_qa_model
my_awesome_qa_model is a question answering model from sauravns. 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
- Dec 10, 2023
- Updated
- Dec 11, 2023
- SHA
- 869e5ed4
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. -->
my_awesome_qa_model
This model is a fine-tuned version of roberta-base on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.5972
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 200 | 1.7093 |
| No log | 2.0 | 400 | 1.5498 |
| 1.7196 | 3.0 | 600 | 1.5972 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Dec 10, 2023
- Updated
- Dec 11, 2023