intanm / mlm-20230405-002-3

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Total runs: 16
24-hour runs: 0
7-day runs: 8
30-day runs: 10
Model's Last Updated: April 05 2023
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Introduction of mlm-20230405-002-3

Model Details of mlm-20230405-002-3

mlm-20230405-002-3

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5498
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: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20
Training results
Training Loss Epoch Step Validation Loss
No log 1.0 261 4.6412
5.1283 2.0 522 3.9156
5.1283 3.0 783 3.5559
3.6421 4.0 1044 3.2988
3.6421 5.0 1305 3.1616
3.1926 6.0 1566 3.0551
3.1926 7.0 1827 2.9465
2.9067 8.0 2088 2.9188
2.9067 9.0 2349 2.8833
2.7245 10.0 2610 2.7818
2.7245 11.0 2871 2.6725
2.5946 12.0 3132 2.7569
2.5946 13.0 3393 2.6592
2.5204 14.0 3654 2.6180
2.5204 15.0 3915 2.6305
2.4173 16.0 4176 2.6301
2.4173 17.0 4437 2.5706
2.3905 18.0 4698 2.5595
2.3905 19.0 4959 2.5339
2.3455 20.0 5220 2.5753
Framework versions
  • Transformers 4.27.4
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3

Runs of intanm mlm-20230405-002-3 on huggingface.co

16
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24-hour runs
4
3-day runs
8
7-day runs
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