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w11wo/indobert-large-p1-twitter-indonesia-sarcastic

🤗 Hugging Face sourcetext-classificationmit335M params1.3 GBsafetensors✓ 2 checksumsupdated today
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indobert-large-p1-twitter-indonesia-sarcastic

This model is a fine-tuned version of indobenchmark/indobert-large-p1 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3207
  • Accuracy: 0.8643
  • F1: 0.7160
  • Precision: 0.7480
  • Recall: 0.6866

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
0.5836 1.0 59 0.4153 0.8060 0.5738 0.6364 0.5224
0.3766 2.0 118 0.3353 0.8433 0.5962 0.8378 0.4627
0.2476 3.0 177 0.3114 0.8619 0.6942 0.7778 0.6269
0.1356 4.0 236 0.3279 0.8694 0.7328 0.75 0.7164
0.0536 5.0 295 0.4265 0.8582 0.7164 0.7164 0.7164
0.0157 6.0 354 0.6448 0.8619 0.6667 0.8409 0.5522
0.0076 7.0 413 0.5739 0.8619 0.7218 0.7273 0.7164

Framework versions

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