bert-tiny-finetuned-xglue-ner

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the xglue dataset. It achieves the following results on the evaluation set:

• Loss: 0.2489
• Precision: 0.6308
• Recall: 0.6681
• F1: 0.6489
• Accuracy: 0.9274

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 4.21.0
• Pytorch 1.12.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1