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bert-base-cased-qa-mash-covid
Eurosmart/bert-base-cased-qa-mash-covid
bert-base-cased-qa-mash-covid is a question answering model from Eurosmart. Use it when the input is a question plus a passage. 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
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 4, 2024
- Updated
- Aug 4, 2024
- SHA
- d76857bd
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. -->
bert-base-cased-qa-mash-covid
This model is a fine-tuned version of google-bert/bert-base-cased on the mashqa_covid_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.4945
- Exact Match: 0.0
- F1: 0.0
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 |
|---|---|---|---|---|---|
| 0.9127 | 1.0 | 2820 | 0.5115 | 0.0 | 0.0 |
| 0.7236 | 2.0 | 5640 | 0.4775 | 0.0 | 0.0 |
| 0.5733 | 3.0 | 8460 | 0.4945 | 0.0 | 0.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Question Answering
- Type
- bert
- License
- apache-2.0
- Created
- Aug 4, 2024
- Updated
- Aug 4, 2024