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

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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xlm-roberta-base-finetuned-panx-ta

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

  • —Loss: 0.3723
  • —F1: 0.8360

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
0.49151.02860.28890.7382
0.2452.05720.23580.7602
0.17193.08580.24110.8084
0.1284.011440.23020.8119
0.09535.014300.26310.7912
0.06786.017160.26320.8142
0.04597.020020.31850.8209
0.0328.022880.35980.8277
0.02539.025740.35610.8347
0.014310.028600.37230.8360

Framework versions

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