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hyenadna-medium-160k-seqlen-hf_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot – AI Model by tanoManzo | AlphaNeural AI
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hyenadna-medium-160k-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-medium-160k-seqlen-hf
finetune
bsd-3-clause
autotrain_compatible
us
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hyenadna-medium-160k-seqlen-hf_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot
This model is a fine-tuned version of
LongSafari/hyenadna-medium-160k-seqlen-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6430
F1 Score: 0.6897
Precision: 0.5882
Recall: 0.8333
Accuracy: 0.6667
Auc: 0.7556
Prc: 0.6320
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
0.1146
18.5185
500
1.6430
0.6897
0.5882
0.8333
0.6667
0.7556
0.6320
Framework versions
Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 2.18.0
Tokenizers 0.20.0
