ner-multilingual-bert

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ner-multilingual-bert

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:

• Loss: 0.0002
• Precision: 0.9998
• Recall: 0.9991
• F1: 0.9994
• Accuracy: 1.0000

Model description

Trained to detect author and publish dates out of text beginnings

Intended uses & limitations

More information needed

Training and evaluation data

See Dataset

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Framework versions

• Transformers 4.37.0.dev0
• Pytorch 2.1.1+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0