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programmersilvanus/fire-xlmr

sourceHugging Facemitupdated 2y 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