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tiny-mlm-glue-mrpc

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 4.0034

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
  • num_epochs: 200

Training results

Training Loss Epoch Step Validation Loss
4.4206 1.09 500 3.9467
4.3088 2.18 1000 3.8183
4.1805 3.27 1500 3.9761
4.1129 4.36 2000 4.0324
4.032 5.45 2500 3.7326
4.0162 6.54 3000 3.7890
3.9261 7.63 3500 3.7041
3.943 8.71 4000 3.9622
3.8852 9.8 4500 3.8910
3.8712 10.89 5000 4.0034

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu116
  • Datasets 2.8.1.dev0
  • Tokenizers 0.13.2
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