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dnabert2_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot – AI Model by tanoManzo | AlphaNeural AI
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tanoManzo
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dnabert2_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot
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transformers
pytorch
bert
text-classification
generated_from_trainer
custom_code
vivym/DNABERT-2-117M
finetune
autotrain_compatible
endpoints_compatible
us
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dnabert2_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot
This model is a fine-tuned version of
vivym/DNABERT-2-117M
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1417
F1 Score: 0.7692
Precision: 0.7143
Recall: 0.8333
Accuracy: 0.7778
Auc: 0.85
Prc: 0.8533
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
0.3716
18.5185
500
1.1417
0.7692
0.7143
0.8333
0.7778
0.85
0.8533
Framework versions
Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 2.18.0
Tokenizers 0.20.0
