gunghio/distilbert-base-multilingual-cased-finetuned-conll2003-ner

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gunghio/distilbert-base-multilingual-cased-finetuned-conll2003-ner

This model was trained from scratch on an conll2003 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0388
• —Precision: 0.9360
• —Recall: 0.9458
• —F1: 0.9409
• —Accuracy: 0.9902

Model description

It is based on distilbert-base-multilingual-cased

Intended uses & limitations

More information needed

Training and evaluation data

Training dataset: conll2003

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.6.1
• —Pytorch 1.8.1+cu101
• —Datasets 1.6.2
• —Tokenizers 0.10.2