muhtasham / bert-tiny-finetuned-glue-rte

huggingface.co
Total runs: 99
24-hour runs: 0
7-day runs: 57
30-day runs: 83
Model's Last Updated: August 07 2023
text-classification

Introduction of bert-tiny-finetuned-glue-rte

Model Details of bert-tiny-finetuned-glue-rte

bert-tiny-finetuned-glue-rte

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the glue dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6673
  • Accuracy: 0.6318
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: 2.4294744851376705e-05
  • train_batch_size: 64
  • eval_batch_size: 16
  • seed: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
Training results
Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 156 0.6852 0.5776
No log 2.0 312 0.6800 0.5993
No log 3.0 468 0.6737 0.6173
0.6845 4.0 624 0.6690 0.6101
0.6845 5.0 780 0.6673 0.6318
Framework versions
  • Transformers 4.21.0
  • Pytorch 1.12.0+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1

Runs of muhtasham bert-tiny-finetuned-glue-rte on huggingface.co

99
Total runs
0
24-hour runs
-3
3-day runs
57
7-day runs
83
30-day runs

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