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LeanAI/roberta-base-bne-finetuned-amazon_reviews_multi

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

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roberta-base-bne-finetuned-amazonreviewsmulti

This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the amazonreviewsmulti dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2608
  • —Accuracy: 0.9083

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 2

Training results

Training LossEpochStepValidation LossAccuracy
0.27431.0630.26660.9052
0.16452.01260.26080.9083

Framework versions

  • —Transformers 4.33.1
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.5
  • —Tokenizers 0.13.3