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human_dna_classification – AI Model by tydymy | AlphaNeural AI
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tydymy
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human_dna_classification
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transformers
pytorch
esm
text-classification
generated_from_trainer
InstaDeepAI/nucleotide-transformer-500m-human-ref
finetune
cc-by-nc-sa-4.0
autotrain_compatible
endpoints_compatible
us
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human_classification
This model is a fine-tuned version of
InstaDeepAI/nucleotide-transformer-500m-human-ref
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1830
Accuracy: 0.9589
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: 5e-05
train_batch_size: 256
eval_batch_size: 256
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0924
1.0
615
0.1074
0.9572
0.0587
2.0
1230
0.1217
0.9569
0.0137
3.0
1845
0.1830
0.9589
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
