wikineural-finetuned-ner

Heyzz/wikineural-finetuned-ner

wikineural-finetuned-ner is a token classification model from Heyzz. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.

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

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At a glance

Task: Token Classification
Library: transformers
License: cc-by-nc-sa-4.0
Model type: bert
Access: Public
Created: Jul 3, 2024
Updated: Jul 9, 2024
SHA: b628bde9

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Base models

Babelscape/wikineural-multilingual-ner

Model card

From the Hugging Face model README

wikineural-finetuned-ner

This model is a fine-tuned version of Babelscape/wikineural-multilingual-ner on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0198
Precision: 0.9855
Recall: 0.9833
F1: 0.9844
Accuracy: 0.9956

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	Precision	Recall	F1	Accuracy
No log	1.0	100	0.1020	0.8658	0.9134	0.8890	0.9693
No log	2.0	200	0.0229	0.9828	0.9821	0.9824	0.9950
No log	3.0	300	0.0198	0.9855	0.9833	0.9844	0.9956

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: bert
License: cc-by-nc-sa-4.0
Created: Jul 3, 2024
Updated: Jul 9, 2024