bert-small-finetuned-ner-to-multilabel-finer-50

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0716

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: 3e-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: constant
• num_epochs: 40

Training results

Training Loss	Epoch	Step	Validation Loss
0.1739	0.02	500	0.0691
0.1018	0.04	1000	0.0699
0.0835	0.06	1500	0.0718
0.0667	0.08	2000	0.0716

Framework versions

• Transformers 4.21.2
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1