tanoManzo/gena-lm-bert-base-t2t_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot

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gena-lm-bert-base-t2tftBioS731kbpHG19DHSsH3K27ACone_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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 20
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

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