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distilbert-amazon-shoe-reviews

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9532
  • Accuracy: 0.5779
  • F1: [0.62616119 0.46456105 0.50993865 0.55755123 0.734375 ]
  • Precision: [0.62757927 0.46676662 0.49148534 0.58430541 0.72415507]
  • Recall: [0.6247495 0.46237624 0.52983172 0.53313982 0.74488753]

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: 32
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
0.9713 1.0 2813 0.9532 0.5779 [0.62616119 0.46456105 0.50993865 0.55755123 0.734375 ] [0.62757927 0.46676662 0.49148534 0.58430541 0.72415507] [0.6247495 0.46237624 0.52983172 0.53313982 0.74488753]

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.12.0+cu102
  • Datasets 2.3.2
  • Tokenizers 0.12.1
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