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w11wo/bert-base-multilingual-cased-reddit-indonesia-sarcastic

🤗 Hugging Face sourcetext-classificationapache-2.0178M params711 MBsafetensors✓ 2 checksumsupdated today
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bert-base-multilingual-cased-reddit-indonesia-sarcastic

This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4558
  • Accuracy: 0.7829
  • F1: 0.5338
  • Precision: 0.5764
  • Recall: 0.4972

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 100.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
0.4935 1.0 309 0.4739 0.7711 0.5186 0.5472 0.4929
0.4203 2.0 618 0.4527 0.7895 0.5547 0.5892 0.5241
0.3469 3.0 927 0.5105 0.7923 0.4957 0.6316 0.4079
0.2754 4.0 1236 0.5126 0.7746 0.5254 0.5552 0.4986
0.2208 5.0 1545 0.6012 0.7803 0.5064 0.5782 0.4504

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0