PrabalAryal/multiclassclassification

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multiclassclassification

This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

• —Train Loss: 0.2109
• —Train Accuracy: 0.9640
• —Validation Loss: 0.1246
• —Validation Accuracy: 0.9791
• —Epoch: 6

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:

• —optimizer: {'name': 'AdamWeightDecay', 'learningrate': 3e-05, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weightdecay_rate': 0.0}
• —training_precision: float32

Training results

Framework versions

• —Transformers 4.51.3
• —TensorFlow 2.18.0
• —Datasets 3.6.0
• —Tokenizers 0.21.1