muhtasham / tiny-mlm-snli-custom-tokenizer

huggingface.co
Total runs: 20
24-hour runs: 0
7-day runs: 5
30-day runs: 14
Model's Last Updated: January 08 2023
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Introduction of tiny-mlm-snli-custom-tokenizer

Model Details of tiny-mlm-snli-custom-tokenizer

tiny-mlm-snli-custom-tokenizer

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: 4.8264
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
6.5934 0.4 500 6.1299
5.5915 0.8 1000 6.0987
5.4106 1.2 1500 6.0209
5.3188 1.6 2000 5.9610
5.1738 2.0 2500 5.8186
5.0521 2.4 3000 5.7991
4.9494 2.8 3500 5.7584
4.9176 3.2 4000 5.6663
4.8419 3.6 4500 5.6272
4.6759 4.0 5000 5.5572
4.6021 4.4 5500 5.4644
4.6077 4.8 6000 5.4168
4.4571 5.2 6500 5.3577
4.4012 5.6 7000 5.3301
4.3231 6.0 7500 5.2220
4.2708 6.4 8000 5.2296
4.2149 6.8 8500 5.1176
4.1028 7.2 9000 5.1298
4.1042 7.6 9500 5.0949
4.0501 8.0 10000 5.0850
4.012 8.4 10500 5.0018
3.875 8.8 11000 5.0539
3.8863 9.2 11500 4.8985
3.8032 9.6 12000 4.9226
3.8501 10.0 12500 4.9202
3.6744 10.4 13000 4.8908
3.6515 10.8 13500 4.9305
3.6525 11.2 14000 4.8675
3.6416 11.6 14500 4.8610
3.5686 12.0 15000 4.6993
3.5437 12.4 15500 4.8085
3.4837 12.8 16000 4.7654
3.4553 13.2 16500 4.8264
Framework versions
  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu116
  • Datasets 2.8.1.dev0
  • Tokenizers 0.13.2

Runs of muhtasham tiny-mlm-snli-custom-tokenizer on huggingface.co

20
Total runs
0
24-hour runs
3
3-day runs
5
7-day runs
14
30-day runs

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tiny-mlm-snli-custom-tokenizer install

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