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thainq107/deberta-v3-base-amazon-reviews-multi-bf16

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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deberta-v3-base-amazon-reviews-multi-bf16

This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9135
  • Accuracy: 0.6022

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: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 5.0

Training results

Training LossEpochStepValidation LossAccuracy
0.91311.062500.91620.6072
0.84572.0125000.94350.599
0.7553.0187500.95510.594
0.62524.0250001.05340.6028
0.51885.0312501.17440.5938

Framework versions

  • Transformers 4.27.1
  • Pytorch 2.0.1
  • Datasets 2.9.0
  • Tokenizers 0.13.3