intanm / lm-003-20230401-001

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Total runs: 194
24-hour runs: 0
7-day runs: 177
30-day runs: 172
Model's Last Updated: April 01 2023
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Introduction of lm-003-20230401-001

Model Details of lm-003-20230401-001

lm-003-20230401-001

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: 2.3313
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: 10
Training results
Training Loss Epoch Step Validation Loss
4.907 1.0 651 3.6066
3.6162 2.0 1302 3.0848
3.2119 3.0 1953 2.7986
2.7763 4.0 2604 2.6678
2.7219 5.0 3255 2.5311
2.588 6.0 3906 2.4662
2.4796 7.0 4557 2.4072
2.4286 8.0 5208 2.3815
2.4069 9.0 5859 2.3650
2.3557 10.0 6510 2.3676
Framework versions
  • Transformers 4.27.4
  • Pytorch 1.13.1+cu116
  • Datasets 2.11.0
  • Tokenizers 0.13.2

Runs of intanm lm-003-20230401-001 on huggingface.co

194
Total runs
0
24-hour runs
0
3-day runs
177
7-day runs
172
30-day runs

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lm-003-20230401-001 install

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