racism-finetuned-detests-wandb24

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

  • Loss: 0.3916
  • Accuracy: 0.8380
  • F1-score: 0.7712
  • Precision: 0.7692
  • Recall: 0.7733
  • Auc: 0.7733

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy F1-score Precision Recall Auc
0.357 1.0 39 0.3343 0.8576 0.7614 0.8374 0.7277 0.7277
0.1109 2.0 78 0.3916 0.8380 0.7712 0.7692 0.7733 0.7733

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.1
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