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dnabert_genomic

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metadata
library_name: transformers
base_model: zhihan1996/DNABERT-2-117M
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: dnabert_genomic
    results: []

dnabert_genomic

This model is a fine-tuned version of zhihan1996/DNABERT-2-117M on Genomic_Benchmarks_human_enhancers_cohn. It achieves the following results on the evaluation set:

  • Loss: 0.4892
  • Accuracy: 0.7601

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: 1.8621576331491283e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 261 0.4974 0.7563
0.5156 2.0 522 0.4951 0.7515
0.5156 3.0 783 0.4892 0.7601

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.2.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3