w11wo/indobert-base-uncased-twitter-indonesia-sarcastic

🤗 Hugging Face 来源text-classificationmit111M 参数442 MBsafetensors✓ 2 个校验和今天更新
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indobert-base-uncased-twitter-indonesia-sarcastic

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

  • Loss: 0.4202
  • Accuracy: 0.8030
  • F1: 0.6467
  • Precision: 0.5843
  • Recall: 0.7239

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
0.5531 1.0 59 0.4977 0.7724 0.4078 0.5833 0.3134
0.4992 2.0 118 0.4785 0.7724 0.3441 0.6154 0.2388
0.44 3.0 177 0.4819 0.7799 0.3656 0.6538 0.2537
0.3815 4.0 236 0.4524 0.8097 0.6623 0.5952 0.7463
0.3104 5.0 295 0.4547 0.8172 0.5421 0.725 0.4328
0.2592 6.0 354 0.4058 0.8172 0.5664 0.6957 0.4776
0.2083 7.0 413 0.4358 0.8060 0.5738 0.6364 0.5224

Framework versions

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