bert-finetuned-ner-1

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

• Loss: 0.0645

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

Training Loss	Epoch	Step	Validation Loss
0.0773	1.0	1756	0.0660
0.0335	2.0	3512	0.0673
0.0219	3.0	5268	0.0645

Framework versions

• Transformers 4.40.2
• Pytorch 2.0.1+cu117
• Datasets 2.18.0
• Tokenizers 0.19.1