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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: distilbert-base-uncased__hate_speech_offensive__train-32-0
    results: []

distilbert-base-uncased__hate_speech_offensive__train-32-0

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7714
  • Accuracy: 0.705

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: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.0871 1.0 19 1.0704 0.45
1.0019 2.0 38 1.0167 0.55
0.8412 3.0 57 0.9134 0.55
0.6047 4.0 76 0.8430 0.6
0.3746 5.0 95 0.8315 0.6
0.1885 6.0 114 0.8585 0.6
0.0772 7.0 133 0.9443 0.65
0.0312 8.0 152 1.1019 0.65
0.0161 9.0 171 1.1420 0.65
0.0102 10.0 190 1.2773 0.65
0.0077 11.0 209 1.2454 0.65
0.0064 12.0 228 1.2785 0.65
0.006 13.0 247 1.3834 0.65
0.0045 14.0 266 1.4139 0.65
0.0043 15.0 285 1.4056 0.65

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.2
  • Tokenizers 0.10.3