ner-bert-mini-conll2003

This model is a fine-tuned version of prajjwal1/bert-mini on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1007
• Precision: 0.8743
• Recall: 0.8993
• F1: 0.8866
• Accuracy: 0.9745

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: 5e-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: 5

Training results

Framework versions

• Transformers 4.27.4
• Pytorch 1.13.1+cu117
• Datasets 2.10.1
• Tokenizers 0.13.2