SetFit / distilbert-base-uncased__hate_speech_offensive__train-8-4

huggingface.co
Total runs: 46
24-hour runs: 0
7-day runs: 3
30-day runs: 35
Model's Last Updated: February 10 2022
text-classification

Introduction of distilbert-base-uncased__hate_speech_offensive__train-8-4

Model Details of distilbert-base-uncased__hate_speech_offensive__train-8-4

distilbert-base-uncased__hate_speech_offensive__train-8-4

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: 1.1045
  • Accuracy: 0.128
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
1.1115 1.0 5 1.1174 0.0
1.0518 2.0 10 1.1379 0.0
1.0445 3.0 15 1.1287 0.0
0.9306 4.0 20 1.1324 0.2
0.8242 5.0 25 1.1219 0.2
0.7986 6.0 30 1.1369 0.4
0.7369 7.0 35 1.1732 0.2
0.534 8.0 40 1.1828 0.6
0.4285 9.0 45 1.1482 0.6
0.3691 10.0 50 1.1401 0.6
0.3215 11.0 55 1.1286 0.6
Framework versions
  • Transformers 4.15.0
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.2
  • Tokenizers 0.10.3

Runs of SetFit distilbert-base-uncased__hate_speech_offensive__train-8-4 on huggingface.co

46
Total runs
0
24-hour runs
1
3-day runs
3
7-day runs
35
30-day runs

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