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sew-ft-fake-detection

This model is a fine-tuned version of asapp/sew-mid-100k on the alexandreacff/kaggle-fake-detection dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6232
  • Accuracy: 0.7439

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: 3e-05
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 0
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 10.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6344 0.9851 33 0.6395 0.6505
0.6157 2.0 67 0.6703 0.5215
0.5572 2.9851 100 0.5615 0.7131
0.4968 4.0 134 0.8149 0.6944
0.4988 4.9851 167 0.8099 0.7037
0.4756 6.0 201 0.8319 0.7103
0.4334 6.9851 234 0.7317 0.7336
0.4321 8.0 268 0.6548 0.7383
0.4436 8.9851 301 0.6232 0.7439
0.4493 9.8507 330 0.6278 0.7439

Framework versions

  • Transformers 4.41.0.dev0
  • Pytorch 2.1.0a0+32f93b1
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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