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tlttl/tluo_xml_roberta_base_amazon_review_sentiment_v2

sourceHugging Facemitupdated 4y agoView on Hugging Face
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Model Card

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tluoxmlrobertabaseamazonreviewsentiment_v2

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9630
  • Accuracy: 0.6057

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: 8
  • evalbatchsize: 8
  • seed: 123
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 3
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
1.05610.3350000.99540.567
0.9480.67100000.96410.5862
0.95571.0150000.96050.589
0.88911.33200000.94200.5875
0.88891.67250000.93970.592
0.87772.0300000.92360.6042
0.7782.33350000.96120.5972
0.75892.67400000.97280.5995
0.75933.0450000.96300.6057

Framework versions

  • Transformers 4.23.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.6.1
  • Tokenizers 0.13.1