muhtasham / small-vanilla-target-glue-cola-linear-probe

huggingface.co
Total runs: 9
24-hour runs: 0
7-day runs: 1
30-day runs: 5
Model's Last Updated: January 14 2023
text-classification

Introduction of small-vanilla-target-glue-cola-linear-probe

Model Details of small-vanilla-target-glue-cola-linear-probe

small-vanilla-target-glue-cola-linear-probe

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6097
  • 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: 3e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • training_steps: 5000
Training results
Training Loss Epoch Step Validation Loss Matthews Correlation
0.6185 1.87 500 0.6137 0.0
0.6093 3.73 1000 0.6125 0.0
0.6073 5.6 1500 0.6100 0.0
0.6052 7.46 2000 0.6097 0.0
Framework versions
  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu116
  • Datasets 2.8.1.dev0
  • Tokenizers 0.13.2

Runs of muhtasham small-vanilla-target-glue-cola-linear-probe on huggingface.co

9
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
5
30-day runs

More Information About small-vanilla-target-glue-cola-linear-probe huggingface.co Model

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