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the-neural-networker/xlm-roberta-base-finetuned-panx-all

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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xlm-roberta-base-finetuned-panx-all

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

  • —Loss: 0.5155
  • —F1: 0.8005

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: 24
  • —evalbatchsize: 24
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossF1
0.48661.04380.39600.6932
0.26142.08760.31960.7360
0.18453.013140.32180.7698
0.13534.017520.34390.7701
0.0965.021900.36380.7885
0.06896.026280.39830.7991
0.04747.030660.43590.7962
0.03178.035040.47010.8032
0.02199.039420.50550.8032
0.015310.043800.51550.8005

Framework versions

  • —Transformers 4.31.0
  • —Pytorch 2.0.1+cu117
  • —Datasets 2.14.4
  • —Tokenizers 0.13.3