deberta-finetuned-ner-finetuned-ner

This model is a fine-tuned version of baptiste/deberta-finetuned-ner on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7964
• Precision: 0.6210
• Recall: 0.3188
• F1: 0.4213
• Accuracy: 0.8212

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: 16
• eval_batch_size: 16
• 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	Precision	Recall	F1	Accuracy
No log	1.0	4	1.0763	0.5583	0.1387	0.2222	0.7916
No log	2.0	8	0.8910	0.8108	0.3106	0.4491	0.8212
No log	3.0	12	0.7964	0.6210	0.3188	0.4213	0.8212

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.1+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2