Kuongan / BantuBERTa-vmw-finetuned

huggingface.co
Total runs: 6
24-hour runs: 1
7-day runs: 4
30-day runs: 3
Model's Last Updated: January 29 2025
text-classification

Introduction of BantuBERTa-vmw-finetuned

Model Details of BantuBERTa-vmw-finetuned

BantuBERTa-vmw-finetuned

This model is a fine-tuned version of dsfsi/BantuBERTa on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3269
  • F1: 0.1633
  • Roc Auc: 0.5507
  • Accuracy: 0.4729
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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 20
Training results
Training Loss Epoch Step Validation Loss F1 Roc Auc Accuracy
0.4095 1.0 66 0.3112 0.0 0.5 0.4612
0.2908 2.0 132 0.2903 0.0 0.5 0.4612
0.284 3.0 198 0.2882 0.0 0.5 0.4612
0.2958 4.0 264 0.2879 0.0 0.5 0.4612
0.2749 5.0 330 0.2851 0.0139 0.5033 0.4651
0.265 6.0 396 0.2868 0.0574 0.5173 0.4729
0.2281 7.0 462 0.2802 0.1073 0.5338 0.4845
0.1963 8.0 528 0.2876 0.1109 0.5353 0.4651
0.1749 9.0 594 0.3040 0.0966 0.5282 0.4496
0.1534 10.0 660 0.3046 0.1322 0.5396 0.4612
0.1336 11.0 726 0.3129 0.1602 0.5473 0.4690
0.1194 12.0 792 0.3222 0.1287 0.5372 0.4612
0.1106 13.0 858 0.3269 0.1633 0.5507 0.4729
0.1004 14.0 924 0.3296 0.1269 0.5360 0.4496
0.091 15.0 990 0.3364 0.1612 0.5513 0.4690
0.0855 16.0 1056 0.3347 0.1570 0.5472 0.4690
0.079 17.0 1122 0.3399 0.1513 0.5440 0.4574
Framework versions
  • Transformers 4.47.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0

Runs of Kuongan BantuBERTa-vmw-finetuned on huggingface.co

6
Total runs
1
24-hour runs
2
3-day runs
4
7-day runs
3
30-day runs

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