bert-finetuned-ner

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

• Loss: 0.0591

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
0.1127	1.0	680	0.0593
0.0442	2.0	1360	0.0557
0.0181	3.0	2040	0.0591

Framework versions

• Transformers 4.18.0
• Pytorch 1.10.0+cu111
• Datasets 2.1.0
• Tokenizers 0.12.1