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bart_medqa_model
smrynrz20/bart_medqa_model
bart_medqa_model is a question answering model from smrynrz20. 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
- bart
- Access
- Public
- Created
- May 15, 2024
- Updated
- May 15, 2024
- SHA
- 82aec50c
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. -->
bart_medqa_model
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0
- F1: 1.0
- Exact Match: 1.0
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: 3.7185140364032e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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 | F1 | Exact Match |
|---|---|---|---|---|---|
| 0.0287 | 0.9988 | 410 | 0.0 | 1.0 | 1.0 |
| 0.0003 | 2.0 | 821 | 0.0000 | 1.0 | 1.0 |
| 0.0002 | 2.9963 | 1230 | 0.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Question Answering
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- May 15, 2024
- Updated
- May 15, 2024