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SEED0042

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

  • Loss: 0.4265
  • Accuracy: 0.8879

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: 2000
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.3762 1.0 12272 0.3312 0.8794
0.2542 2.0 24544 0.3467 0.8843
0.1503 3.0 36816 0.4265 0.8879

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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