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m_bert_base_qa_model
Chetna19/m_bert_base_qa_model
m_bert_base_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 cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- May 7, 2023
- Updated
- May 7, 2023
- SHA
- 630ef49a
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_bert_base_qa_model
This model is a fine-tuned version of deepset/bert-base-cased-squad2 on the subjqa dataset. It achieves the following results on the evaluation set:
- Loss: 4.4076
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 32 | 2.8233 |
| No log | 2.0 | 64 | 2.9102 |
| No log | 3.0 | 96 | 3.2005 |
| No log | 4.0 | 128 | 3.5238 |
| No log | 5.0 | 160 | 3.6986 |
| No log | 6.0 | 192 | 4.0583 |
| No log | 7.0 | 224 | 4.1965 |
| No log | 8.0 | 256 | 4.2924 |
| No log | 9.0 | 288 | 4.4430 |
| No log | 10.0 | 320 | 4.4076 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Created
- May 7, 2023
- Updated
- May 7, 2023