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distilbert_lda_5_cola

This model is a fine-tuned version of gokulsrinivasagan/distilbert_lda_5 on the GLUE COLA dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6182
  • Matthews Correlation: 0.0
  • Accuracy: 0.6913

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: 0.001
  • train_batch_size: 256
  • eval_batch_size: 256
  • seed: 10
  • 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: 30

Training results

Training Loss Epoch Step Validation Loss Matthews Correlation Accuracy
0.9345 1.0 34 0.6220 0.0 0.6913
0.6115 2.0 68 0.6194 0.0 0.6913
0.6088 3.0 102 0.6195 0.0 0.6913
0.6101 4.0 136 0.6185 0.0 0.6913
0.6111 5.0 170 0.6182 0.0 0.6913
0.6081 6.0 204 0.6195 0.0 0.6913
0.6104 7.0 238 0.6197 0.0 0.6913
0.6105 8.0 272 0.6252 0.0 0.6913
0.6093 9.0 306 0.6257 0.0 0.6913
0.6107 10.0 340 0.6184 0.0 0.6913

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.2.1+cu118
  • Datasets 2.17.0
  • Tokenizers 0.20.3
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Dataset used to train gokulsrinivasagan/distilbert_lda_5_cola

Evaluation results