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---
license: apache-2.0
base_model: ctheodoris/Geneformer
tags:
- generated_from_trainer
metrics:
- precision
- recall
- accuracy
model-index:
- name: Geneformer_ft_BioS45_1kbpHG19_DHSs_H3K27AC
results: []
---
<!-- 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](https://huggingface.co/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
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