Downloads · 30 days
2
2% of all-time downloads
medical_teacher_updated_dataset_v1
officeuseaitf2024/medical_teacher_updated_dataset_v1
medical_teacher_updated_dataset_v1 is a machine learning model from officeuseaitf2024. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
118
Public
Repo size
32.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json8.3 MB · 61%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- May 19, 2026
- Updated
- May 19, 2026
- SHA
- 910d317a
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. -->
medical_teacher_updated_dataset_v1
This model is a fine-tuned version of microsoft/deberta-v3-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5847
- Accuracy: 0.9999
- Recall: 0.9999
- Precision: 0.9999
- F1: 0.9999
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 5
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1 |
|---|---|---|---|---|---|---|---|
| 1.1656 | 1.0 | 5160 | 0.5881 | 0.9996 | 0.9996 | 0.9996 | 0.9996 |
| 1.1654 | 2.0 | 10320 | 0.5859 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
| 1.1667 | 3.0 | 15480 | 0.5856 | 0.9997 | 0.9997 | 0.9997 | 0.9997 |
| 1.1653 | 4.0 | 20640 | 0.5848 | 0.9999 | 0.9999 | 0.9999 | 0.9999 |
| 1.1651 | 5.0 | 25800 | 0.5847 | 0.9999 | 0.9999 | 0.9999 | 0.9999 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
- Library
- peft
- License
- mit
- Created
- May 19, 2026
- Updated
- May 19, 2026