bert-small-finetuned-xglue-ner-longer6

This model is a fine-tuned version of muhtasham/bert-small-finetuned-xglue-ner on the wnut_17 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4087
• Precision: 0.5620
• Recall: 0.4282
• F1: 0.4861
• Accuracy: 0.9261

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
• 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: 3

Training results

Framework versions

• Transformers 4.21.1
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1