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tanoManzo/
gena-lm-bert-large-t2t_ft_BioS2_1kbpHG19_DHSs_H3K27AC_one_shot

Name: gena-lm-bert-large-t2t_ft_BioS2_1kbpHG19_DHSs_H3K27AC_one_shot
Availability: InStock

generated_from_trainer

custom_code

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

finetune

autotrain_compatible

endpoints_compatible

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gena-lm-bert-large-t2t_ft_BioS2_1kbpHG19_DHSs_H3K27AC_one_shot

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

Loss: 1.0203
F1 Score: 0.7812
Precision: 0.8065
Recall: 0.7576
Accuracy: 0.7627
Auc: 0.8205
Prc: 0.8517

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
0.4524	8.3333	500	0.6291	0.8308	0.8438	0.8182	0.8136	0.8502	0.8700
0.2158	16.6667	1000	1.0203	0.7812	0.8065	0.7576	0.7627	0.8205	0.8517

Framework versions

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

tanoManzo/gena-lm-bert-large-t2t_ft_BioS2_1kbpHG19_DHSs_H3K27AC_one_shot

gena-lm-bert-large-t2t_ft_BioS2_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-large-t2t_ft_BioS2_1kbpHG19_DHSs_H3K27AC_one_shot