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nucleotide-transformer-v2-50m-multi-species_ft_BioS2_1kbpHG19_DHSs_H3K27AC_on_shot_one_shot – AI Model by tanoManzo | AlphaNeural AI
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nucleotide-transformer-v2-50m-multi-species_ft_BioS2_1kbpHG19_DHSs_H3K27AC_on_shot_one_shot
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transformers
safetensors
esm
text-classification
generated_from_trainer
custom_code
InstaDeepAI/nucleotide-transformer-v2-50m-multi-species
finetune
cc-by-nc-sa-4.0
autotrain_compatible
endpoints_compatible
us
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nucleotide-transformer-v2-50m-multi-species_ft_BioS2_1kbpHG19_DHSs_H3K27AC_on_shot_one_shot
This model is a fine-tuned version of
InstaDeepAI/nucleotide-transformer-v2-50m-multi-species
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7824
F1 Score: 0.6984
Precision: 0.7333
Recall: 0.6667
Accuracy: 0.6780
Auc: 0.7931
Prc: 0.7978
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
0.2027
8.3333
500
1.5881
0.6984
0.7333
0.6667
0.6780
0.7960
0.7989
0.0013
16.6667
1000
1.7824
0.6984
0.7333
0.6667
0.6780
0.7931
0.7978
Framework versions
Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 2.18.0
Tokenizers 0.20.0
