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albert-base-v2_qa_model
Chetna19/albert-base-v2_qa_model
albert-base-v2_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
- Jun 11, 2023
- Updated
- Jun 11, 2023
- SHA
- a731342a
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. -->
albert-base-v2_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: 5.8155
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-07
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.9633 | 1.0 | 32 | 5.9115 |
| 5.8978 | 2.0 | 64 | 5.8574 |
| 5.8558 | 3.0 | 96 | 5.8260 |
| 5.8354 | 4.0 | 128 | 5.8155 |
Framework versions
- Transformers 4.28.0
- Pytorch 1.13.0a0+d321be6
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- albert
- License
- apache-2.0
- Created
- Jun 11, 2023
- Updated
- Jun 11, 2023