mbert-conll2003

This model is a fine-tuned version of bert-base-multilingual-cased on the conll2003 dataset.

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: 1e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.06
• num_epochs: 10

Training results

Framework versions

• Transformers 4.24.0
• Pytorch 1.11.0
• Datasets 2.7.0
• Tokenizers 0.13.2