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distilbert-cased-reviews-v1

This model is a fine-tuned version of distilbert-base-cased on yyu/amazon-attrprompt dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9022
  • Accuracy: {'accuracy': 0.7478260869565218}
  • F1 Score: {'f1': 0.7350319489971969}

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Score
0.2514 1.0 1728 1.8422 {'accuracy': 0.7347826086956522} {'f1': 0.7217427746565059}
0.2709 2.0 3456 1.8755 {'accuracy': 0.7347826086956522} {'f1': 0.7200496580345588}
0.0912 3.0 5184 1.9022 {'accuracy': 0.7478260869565218} {'f1': 0.7350319489971969}

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0
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Dataset used to train Asteriks/distilbert-cased-reviews-v1