sianbru/product_classifier_split_url2

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productclassifiersplit_url2

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

• —Loss: 0.1029
• —Accuracy: 0.9803
• —F1: 0.9803
• —Precision: 0.9803
• —Recall: 0.9803

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: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 4

Training results

Framework versions

• —Transformers 4.32.0
• —Pytorch 2.0.1+cu117
• —Datasets 2.14.4
• —Tokenizers 0.13.3