CoolFace
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P3ps/distilbert-amazon-shoe-reviews-scaled

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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distilbert-amazon-shoe-reviews-scaled

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: 1.1836
  • —Accuracy: 0.456
  • —F1: [0.56281407 0.31088083 0.32608696 0.32142857 0.6640625 ]
  • —Precision: [0.5045045 0.34090909 0.37037037 0.35064935 0.59440559]
  • —Recall: [0.63636364 0.28571429 0.29126214 0.2967033 0.75221239]

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
  • —trainbatchsize: 32
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 1
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracyF1PrecisionRecall
1.34471.01411.18360.456[0.56281407 0.31088083 0.32608696 0.32142857 0.6640625 ][0.5045045 0.34090909 0.37037037 0.35064935 0.59440559][0.63636364 0.28571429 0.29126214 0.2967033 0.75221239]

Framework versions

  • —Transformers 4.28.1
  • —Pytorch 2.0.0+cu118
  • —Datasets 2.11.0
  • —Tokenizers 0.13.3