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SEED0042

This model is a fine-tuned version of google/electra-base-discriminator on the SST2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1754
  • Accuracy: 0.9507

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
No log 1.0 2105 0.2056 0.9358
0.2549 2.0 4210 0.1850 0.9438
0.1162 3.0 6315 0.1754 0.9507

Framework versions

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