CoolFace
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akiseid/Amharic-News-Classification

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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results

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: 0.2719
  • —Accuracy: 0.9387

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracy
0.48171.012330.41140.8722
0.48412.024660.46700.8817
0.44823.036990.32050.9330
0.40114.049320.27190.9387
0.0225.061650.31590.9359

Framework versions

  • —Transformers 4.40.0
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.19.0
  • —Tokenizers 0.19.1