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cansurav/bert-base-uncased-finetuned-cola-learning_rate-0.0001

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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bert-base-uncased-finetuned-cola-learning_rate-0.0001

This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7459
  • —Matthews Correlation: 0.0

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: 0.0001
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossMatthews Correlation
0.62051.05350.74590.0
0.62182.010700.62880.0
0.61663.016050.61810.0
0.61964.021400.62790.0
0.61375.026750.62020.0
0.61386.032100.62030.0
0.60747.037450.61840.0
0.61288.042800.62200.0
0.60739.048150.61830.0
0.611310.053500.61960.0

Framework versions

  • —Transformers 4.28.1
  • —Pytorch 2.0.0+cu118
  • —Datasets 2.12.0
  • —Tokenizers 0.13.3