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test_electra_small

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

  • Loss: 0.6214
  • Accuracy: 0.69

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6806 1.0 13 0.6456 0.69
0.6503 2.0 26 0.6261 0.69
0.634 3.0 39 0.6214 0.69

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.1+cpu
  • Datasets 2.17.0
  • Tokenizers 0.15.2
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