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nucleotide-transformer-2.5b-1000g_ft_BioS2_1kbpHG19_DHSs_H3K27AC_one_shot – AI Model by tanoManzo | AlphaNeural AI
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nucleotide-transformer-2.5b-1000g_ft_BioS2_1kbpHG19_DHSs_H3K27AC_one_shot
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transformers
safetensors
esm
text-classification
generated_from_trainer
InstaDeepAI/nucleotide-transformer-2.5b-1000g
finetune
cc-by-nc-sa-4.0
autotrain_compatible
endpoints_compatible
us
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nucleotide-transformer-2.5b-1000g_ft_BioS2_1kbpHG19_DHSs_H3K27AC_one_shot
This model is a fine-tuned version of
InstaDeepAI/nucleotide-transformer-2.5b-1000g
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5406
F1 Score: 0.8406
Precision: 0.8056
Recall: 0.8788
Accuracy: 0.8136
Auc: 0.8881
Prc: 0.8886
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
0.1458
8.3333
500
1.4144
0.8406
0.8056
0.8788
0.8136
0.8881
0.8888
0.0
16.6667
1000
1.5406
0.8406
0.8056
0.8788
0.8136
0.8881
0.8886
Framework versions
Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 2.18.0
Tokenizers 0.20.0
