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nucleotide-transformer-v2-100m-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot – AI Model by tanoManzo | AlphaNeural AI
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nucleotide-transformer-v2-100m-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot
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transformers
safetensors
esm
text-classification
generated_from_trainer
custom_code
InstaDeepAI/nucleotide-transformer-v2-100m-multi-species
finetune
cc-by-nc-sa-4.0
autotrain_compatible
endpoints_compatible
us
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nucleotide-transformer-v2-100m-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot
This model is a fine-tuned version of
InstaDeepAI/nucleotide-transformer-v2-100m-multi-species
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6399
F1 Score: 0.7097
Precision: 0.5789
Recall: 0.9167
Accuracy: 0.6667
Auc: 0.6944
Prc: 0.5720
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
0.1336
18.5185
500
1.6399
0.7097
0.5789
0.9167
0.6667
0.6944
0.5720
Framework versions
Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 2.18.0
Tokenizers 0.20.0
