Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
dnabert2_ft_BioS73_1kbpHG19_DHSs_H3K27AC_on_shot_one_shot – AI Model by tanoManzo | AlphaNeural AI
You can deploy this model and start earning money today!
tanoManzo
/
dnabert2_ft_BioS73_1kbpHG19_DHSs_H3K27AC_on_shot_one_shot
like
0
transformers
safetensors
bert
text-classification
generated_from_trainer
custom_code
vivym/DNABERT-2-117M
finetune
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
dnabert2_ft_BioS73_1kbpHG19_DHSs_H3K27AC_on_shot_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: 1.1495
F1 Score: 0.6667
Precision: 0.6667
Recall: 0.6667
Accuracy: 0.7037
Auc: 0.8667
Prc: 0.8708
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
0.3645
18.5185
500
1.1495
0.6667
0.6667
0.6667
0.7037
0.8667
0.8708
Framework versions
Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 2.18.0
Tokenizers 0.20.0
