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dnabert2_ft_BioS2_1kbpHG19_DHSs_H3K27AC_one_shot – AI Model by tanoManzo | AlphaNeural AI
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tanoManzo
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dnabert2_ft_BioS2_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_BioS2_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: 1.3587
F1 Score: 0.7246
Precision: 0.6944
Recall: 0.7576
Accuracy: 0.6780
Auc: 0.7110
Prc: 0.7491
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
0.5413
8.3333
500
0.8825
0.7324
0.6842
0.7879
0.6780
0.7279
0.7724
0.3411
16.6667
1000
1.3587
0.7246
0.6944
0.7576
0.6780
0.7110
0.7491
Framework versions
Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 2.18.0
Tokenizers 0.20.0
