README.md

metadata

tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: output
    results: []

output

This model is a fine-tuned version of zhihan1996/DNA_bert_6 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3879
• Accuracy: 0.8612
• Precision: 0.9154
• Recall: 0.8240
• F1: 0.8673

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: 16
• eval_batch_size: 16
• seed: 0
• 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	Precision	Recall	F1
0.4958	0.46	500	0.4749	0.7831	0.7303	0.9606	0.8298
0.3928	0.93	1000	0.4086	0.8207	0.7717	0.9574	0.8546
0.3319	1.39	1500	0.3467	0.8635	0.8664	0.8891	0.8776
0.3036	1.85	2000	0.3176	0.8702	0.8717	0.8960	0.8836
0.2383	2.31	2500	0.3403	0.8707	0.8901	0.8728	0.8814
0.2189	2.78	3000	0.3879	0.8612	0.9154	0.8240	0.8673

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu118
• Tokenizers 0.13.3