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SEED0042

This model is a fine-tuned version of google/electra-base-discriminator on the HATEXPLAIN dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7667
  • Accuracy: 0.4162
  • Accuracy 0: 0.8145
  • Accuracy 1: 0.1895
  • Accuracy 2: 0.3084

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: 32
  • seed: 42
  • distributed_type: not_parallel
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 150
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy Accuracy 0 Accuracy 1 Accuracy 2
No log 1.0 481 0.7431 0.4152 0.7707 0.1805 0.3650
No log 2.0 962 0.7346 0.4152 0.8010 0.2190 0.2774
No log 3.0 1443 0.7667 0.4162 0.8145 0.1895 0.3084

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.10.0+cu113
  • Datasets 2.1.0
  • Tokenizers 0.11.6
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Evaluation results

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