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DNABert_K6_G_quad_3 – AI Model by roa7n | AlphaNeural AI
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DNABert_K6_G_quad_3
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transformers
pytorch
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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DNABert_K6_G_quad_3
This model is a fine-tuned version of
armheb/DNA_bert_6
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0722
Accuracy: 0.9761
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0912
1.0
9375
0.0883
0.9707
0.0668
2.0
18750
0.0723
0.9757
0.0598
3.0
28125
0.0722
0.9761
Framework versions
Transformers 4.22.1
Pytorch 1.12.1
Datasets 2.4.0
Tokenizers 0.12.1
