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gena-lm-bigbird-base-t2t_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot – AI Model by tanoManzo | AlphaNeural AI
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gena-lm-bigbird-base-t2t_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot
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transformers
safetensors
big_bird
text-classification
generated_from_trainer
AIRI-Institute/gena-lm-bigbird-base-t2t
finetune
autotrain_compatible
endpoints_compatible
us
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gena-lm-bigbird-base-t2t_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot
This model is a fine-tuned version of
AIRI-Institute/gena-lm-bigbird-base-t2t
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0967
F1 Score: 0.8
Precision: 0.7692
Recall: 0.8333
Accuracy: 0.8148
Auc: 0.8806
Prc: 0.8449
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
0.1834
18.5185
500
1.0967
0.8
0.7692
0.8333
0.8148
0.8806
0.8449
Framework versions
Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 2.18.0
Tokenizers 0.20.0
