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Geneformer_ft_BioS2_1kbpHG19_DHSs_H3K27AC
tanoManzo/Geneformer_ft_BioS2_1kbpHG19_DHSs_H3K27AC
Geneformer_ft_BioS2_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
- 0f739525
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_BioS2_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: 0.6514
- F1 Score: 0.6398
- Precision: 0.6615
- Recall: 0.6195
- Accuracy: 0.6273
- Auc: 0.6654
- Prc: 0.6684
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 |
|---|---|---|---|---|---|---|---|---|---|
| 0.6959 | 0.0841 | 500 | 0.6846 | 0.6785 | 0.5633 | 0.8530 | 0.5681 | 0.5765 | 0.5859 |
| 0.6879 | 0.1682 | 1000 | 0.6892 | 0.3661 | 0.6392 | 0.2565 | 0.5254 | 0.5823 | 0.6044 |
| 0.6913 | 0.2523 | 1500 | 0.6919 | 0.2450 | 0.6413 | 0.1514 | 0.5013 | 0.5921 | 0.6000 |
| 0.6854 | 0.3364 | 2000 | 0.6722 | 0.6928 | 0.5659 | 0.8930 | 0.5769 | 0.6111 | 0.6274 |
| 0.6774 | 0.4205 | 2500 | 0.6637 | 0.6896 | 0.5917 | 0.8263 | 0.6026 | 0.6321 | 0.6402 |
| 0.6667 | 0.5045 | 3000 | 0.6546 | 0.6895 | 0.6083 | 0.7957 | 0.6171 | 0.6509 | 0.6561 |
| 0.6791 | 0.5886 | 3500 | 0.6514 | 0.6398 | 0.6615 | 0.6195 | 0.6273 | 0.6654 | 0.6684 |
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