CoolFace
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DerivedFunction01/distilroberta-imdb

sourceHugging Faceapache-2.0updated 7mo agoView on Hugging Face
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Model Card

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distilroberta-imdb

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

  • —Loss: 0.1783
  • —Accuracy: 0.9448

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
  • —trainbatchsize: 24
  • —evalbatchsize: 24
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 2
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
0.19780.49978330.20870.9243
0.15870.999416660.19520.9315
0.16451.499124990.17880.9438
0.17391.998833320.17830.9448

Framework versions

  • —Transformers 5.0.0
  • —Pytorch 2.10.0+cu128
  • —Datasets 4.0.0
  • —Tokenizers 0.22.2