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rollerhafeezh/xlm-roberta-base-fire-classification-silvanus

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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xlm-roberta-base-fire-classification-silvanus

This model is a fine-tuned version of xlm-roberta-base on the Twitter (X) dataset based on the "forest fire" keyword. It achieves the following results on the evaluation set:

  • Loss: 0.5255
  • Accuracy: 0.8884

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: 3e-05
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 3

Training results

Training LossEpochStepValidation LossAccuracy
No log1.02330.54310.8670
No log2.04660.51250.8670
0.41623.06990.52550.8884

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1