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distilbert_reviews_with_language_drift

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

  • Loss: 0.4970
  • Accuracy: 0.818
  • F1: 0.8167

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: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.593 1.0 500 0.4723 0.799 0.7976
0.3714 2.0 1000 0.4679 0.818 0.8177
0.2652 3.0 1500 0.4970 0.818 0.8167

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