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Geneformer_ft_BioS45_1kbpHG19_DHSs_H3K27AC
tanoManzo/Geneformer_ft_BioS45_1kbpHG19_DHSs_H3K27AC
Geneformer_ft_BioS45_1kbpHG19_DHSs_H3K27AC is a machine learning model from tanoManzo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 24, 2024
- Updated
- Sep 24, 2024
- SHA
- e94deaa1
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. -->
Geneformer_ft_BioS45_1kbpHG19_DHSs_H3K27AC
This model is a fine-tuned version of ctheodoris/Geneformer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6631
- F1 Score: 0.5409
- Precision: 0.6586
- Recall: 0.4589
- Accuracy: 0.5936
- Auc: 0.6567
- Prc: 0.6689
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: 1e-05
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision | Recall | Accuracy | Auc | Prc |
|---|---|---|---|---|---|---|---|---|---|
| 0.6972 | 0.2103 | 500 | 0.6987 | 0.0 | 0.0 | 0.0 | 0.4783 | 0.5304 | 0.5397 |
| 0.6932 | 0.4207 | 1000 | 0.6899 | 0.6877 | 0.5307 | 0.9766 | 0.5372 | 0.5631 | 0.5685 |
| 0.6931 | 0.6310 | 1500 | 0.6869 | 0.4327 | 0.6091 | 0.3355 | 0.5410 | 0.5889 | 0.5992 |
| 0.6827 | 0.8414 | 2000 | 0.6669 | 0.6767 | 0.5763 | 0.8194 | 0.5915 | 0.6392 | 0.6453 |
| 0.6667 | 1.0517 | 2500 | 0.6631 | 0.5409 | 0.6586 | 0.4589 | 0.5936 | 0.6567 | 0.6689 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.0
- Type
- bert
- License
- apache-2.0
- Created
- Sep 24, 2024
- Updated
- Sep 24, 2024