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Mozart-coder/BERT_newdata-6_tokenized

sourceHugging Faceupdated 4y agoView on Hugging Face
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Model Card

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BERTnewdata-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: 0.0378

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
0.06691.02230.0373
0.03942.04460.0398
0.03693.06690.0371
0.03624.08920.0358
0.03835.011150.0353
0.03656.013380.0378
0.03667.015610.0377
0.03738.017840.0359
0.03729.020070.0371
0.037710.022300.0357

Framework versions

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