CoolFace
Modelpublic

Mozart-coder/BERT_Dec-6_tokenized

sourceHugging Faceupdated 3y agoView on Hugging Face
0likes15downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

BERTDec-6tokenized

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

  • —Loss: 0.0372

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: 2e-05
  • —trainbatchsize: 64
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.06251.02730.0376
0.0392.05460.0375
0.03853.08190.0358
0.03754.010920.0380
0.03745.013650.0387
0.03586.016380.0378
0.03637.019110.0381
0.03738.021840.0377
0.03629.024570.0373
0.03710.027300.0380

Framework versions

  • —Transformers 4.23.1
  • —Pytorch 1.12.1+cu113
  • —Datasets 2.6.1
  • —Tokenizers 0.13.1