README.md

metadata

library_name: transformers
base_model: AIRI-Institute/gena-lm-bert-large-t2t
tags:
  - generated_from_trainer
model-index:
  - name: gena-lm-bert-large-t2t_ft_BioS45_1kbpHG19_DHSs_H3K27AC_one_shot
    results: []

gena-lm-bert-large-t2t_ft_BioS45_1kbpHG19_DHSs_H3K27AC_one_shot

This model is a fine-tuned version of AIRI-Institute/gena-lm-bert-large-t2t on the None dataset.

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

Framework versions

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