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tanoManzo/
gena-lm-bert-base-t2t_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot

Name: gena-lm-bert-base-t2t_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot
Availability: InStock

generated_from_trainer

custom_code

AIRI-Institute/gena-lm-bert-base-t2t

finetune

autotrain_compatible

endpoints_compatible

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gena-lm-bert-base-t2t_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot

This model is a fine-tuned version of AIRI-Institute/gena-lm-bert-base-t2t on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6896
F1 Score: 0.6486
Precision: 0.48
Recall: 1.0
Accuracy: 0.5185
Auc: 0.7194
Prc: 0.7240

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
0.6976	18.5185	500	0.6896	0.6486	0.48	1.0	0.5185	0.7194	0.7240

Framework versions

Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 2.18.0
Tokenizers 0.20.0

tanoManzo/gena-lm-bert-base-t2t_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot

gena-lm-bert-base-t2t_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tanoManzo/
gena-lm-bert-base-t2t_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot