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mlm-20230404-001-2

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: 2.6712

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 1.0 203 4.8333
No log 2.0 406 4.1204
5.0807 3.0 609 3.7397
5.0807 4.0 812 3.5191
3.6349 5.0 1015 3.3306
3.6349 6.0 1218 3.2312
3.6349 7.0 1421 3.0555
3.1436 8.0 1624 2.9527
3.1436 9.0 1827 3.0033
2.8913 10.0 2030 2.8863
2.8913 11.0 2233 2.9222
2.8913 12.0 2436 2.8261
2.7111 13.0 2639 2.8103
2.7111 14.0 2842 2.7710
2.6147 15.0 3045 2.7576
2.6147 16.0 3248 2.7427
2.6147 17.0 3451 2.7259
2.5106 18.0 3654 2.6895
2.5106 19.0 3857 2.6798
2.4705 20.0 4060 2.6778

Framework versions

  • Transformers 4.27.4
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.2
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