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hyenadna-small-32k-seqlen-hf_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot – AI Model by tanoManzo | AlphaNeural AI
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hyenadna-small-32k-seqlen-hf_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot
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transformers
pytorch
hyenadna
text-classification
generated_from_trainer
custom_code
LongSafari/hyenadna-small-32k-seqlen-hf
finetune
bsd-3-clause
autotrain_compatible
us
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hyenadna-small-32k-seqlen-hf_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot
This model is a fine-tuned version of
LongSafari/hyenadna-small-32k-seqlen-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5943
F1 Score: 0.7200
Precision: 0.6923
Recall: 0.75
Accuracy: 0.7407
Auc: 0.7722
Prc: 0.7577
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
0.2213
18.5185
500
0.5943
0.7200
0.6923
0.75
0.7407
0.7722
0.7577
Framework versions
Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 2.18.0
Tokenizers 0.20.0
