ibrahimbukhari1998/glot500_fintuned_en_ewt

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glot500fintuneden_ewt

This model is a fine-tuned version of cis-lmu/glot500-base on the universal_dependencies dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1532
• —Precision: 0.9531
• —Recall: 0.9549
• —F1: 0.9540
• —Accuracy: 0.9607

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: 2e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.46.3
• —Pytorch 2.5.1
• —Datasets 3.1.0
• —Tokenizers 0.20.3