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m_albert_qa_model
Chetna19/m_albert_qa_model
m_albert_qa_model is a question answering model from Chetna19. 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
- albert
- Access
- Public
- Created
- Mar 29, 2023
- Updated
- Mar 29, 2023
- SHA
- 36f4f7e8
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. -->
m_albert_qa_model
This model is a fine-tuned version of albert-base-v2 on the subjqa dataset. It achieves the following results on the evaluation set:
- Loss: 2.8510
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| No log | 1.0 | 32 | 2.6117 |
| No log | 2.0 | 64 | 2.5636 |
| No log | 3.0 | 96 | 2.6828 |
| No log | 4.0 | 128 | 2.8268 |
| No log | 5.0 | 160 | 2.8510 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- albert
- License
- apache-2.0
- Created
- Mar 29, 2023
- Updated
- Mar 29, 2023