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Sif10/my_awesome_model_imdb

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

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myawesomemodel_imdb

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

  • —Loss: 0.7781
  • —Accuracy: 0.8591

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: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracy
0.40131.07820.35350.8445
0.21072.015640.35890.8550
0.11583.023460.52410.8576
0.04234.031280.78810.8545
0.02385.039100.77810.8591

Framework versions

  • —Transformers 4.38.1
  • —Pytorch 2.1.2
  • —Datasets 2.1.0
  • —Tokenizers 0.15.2