Downloads · 30 days
22
10% of all-time downloads
biobert-v1.1-finetuned-medmcqa
maxg73872/biobert-v1.1-finetuned-medmcqa
biobert-v1.1-finetuned-medmcqa is a multiple choice model from maxg73872. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
230
Public
Parameters
108M
433 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors433 MB · 100%
At a glance
- Task
- multiple choice
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Nov 4, 2024
- Updated
- Nov 4, 2024
- SHA
- a0291deb
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. -->
biobert-v1.1-finetuned-medmcqa
This model is a fine-tuned version of dmis-lab/biobert-v1.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9408
- Accuracy: {'accuracy': 0.6190476190476191}
- F1-score: {'f1': 0.6383219954648526}
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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- 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 | Accuracy | F1-score |
|---|---|---|---|---|---|
| No log | 1.0 | 229 | 1.1779 | {'accuracy': 0.5714285714285714} | {'f1': 0.5936070334566574} |
| No log | 2.0 | 458 | 0.9840 | {'accuracy': 0.6666666666666666} | {'f1': 0.6800653594771241} |
| 1.1746 | 3.0 | 687 | 0.9408 | {'accuracy': 0.6190476190476191} | {'f1': 0.6383219954648526} |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- Created
- Nov 4, 2024
- Updated
- Nov 4, 2024