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distilbert-base-uncased-finetuned-yelp-reviews

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

  • Loss: 0.8288
  • Accuracy: 0.6418
  • F1: 0.6425

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: 32
  • eval_batch_size: 32
  • 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
0.8991 1.0 1524 0.8396 0.6302 0.6294
0.754 2.0 3048 0.8288 0.6418 0.6425

Framework versions

  • Transformers 4.21.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1
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Dataset used to train Ramamurthi/distilbert-base-uncased-finetuned-yelp-reviews

Evaluation results