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distilbert_finetuned_reviews_with_drift

This model is a fine-tuned version of distilbert-base-uncased on the reviews_with_drift dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3822
  • Accuracy: 0.8548
  • F1: 0.8547

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.4173 1.0 620 0.3519 0.8511 0.8511
0.259 2.0 1240 0.3822 0.8548 0.8547

Framework versions

  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1
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Evaluation results