BERTreach-finetuned-ner

jimregan/BERTreach-finetuned-ner

BERTreach-finetuned-ner is a token classification model from jimregan. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Datasets

wikiann

Model card

From the Hugging Face model README

BERTreach-finetuned-ner

This model is a fine-tuned version of jimregan/BERTreach on the wikiann dataset. It achieves the following results on the evaluation set:

Loss: 0.4944
Precision: 0.5201
Recall: 0.5667
F1: 0.5424
Accuracy: 0.8366

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	63	0.7249	0.3645	0.3905	0.3770	0.7584
No log	2.0	126	0.5850	0.4529	0.4948	0.4729	0.8072
No log	3.0	189	0.5192	0.4949	0.5456	0.5190	0.8288
No log	4.0	252	0.5042	0.5208	0.5592	0.5393	0.8348
No log	5.0	315	0.4944	0.5201	0.5667	0.5424	0.8366

Framework versions

Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3

Task: Token Classification
Library: transformers
Type: roberta
License: apache-2.0
Languages: ga
Created: Mar 2, 2022
Updated: Apr 11, 2025