Downloads · 30 days
7
9% of all-time downloads
ds-life-scientist-course-transformer-model
Mardiyyah/ds-life-scientist-course-transformer-model
ds-life-scientist-course-transformer-model is a text classification model from Mardiyyah. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
80
Public
Parameters
109M
1.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors876 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jun 12, 2026
- Updated
- Jun 13, 2026
- SHA
- f99616fe
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. -->
ds-life-scientist-course-transformer-model
This model is a fine-tuned version of microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext on the Mardiyyah/pubmed-rct-subset_cleaned dataset. It achieves the following results on the evaluation set:
- Loss: 0.2004
- Accuracy: 0.9313
- F1 Micro: 0.9313
- F1 Macro: 0.8771
- F1 Weighted: 0.9309
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: 32
- seed: 42
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Micro | F1 Macro | F1 Weighted |
|---|---|---|---|---|---|---|---|
| 0.5702 | 1.0 | 300 | 0.4178 | 0.8538 | 0.8538 | 0.7947 | 0.8528 |
| 0.3403 | 2.0 | 600 | 0.4458 | 0.8562 | 0.8562 | 0.7976 | 0.8536 |
| 0.2524 | 3.0 | 900 | 0.4300 | 0.8712 | 0.8712 | 0.8174 | 0.8700 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.11.0+cu128
- Datasets 3.0.2
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- en
- Created
- Jun 12, 2026
- Updated
- Jun 13, 2026