large-bert-cased-ner-finetuned-wikineural-final

Eikei/large-bert-cased-ner-finetuned-wikineural-final

large-bert-cased-ner-finetuned-wikineural-final is a token classification model from Eikei. Use it when you need labels on individual words, such as names. It is set up for transformers.

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

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At a glance

Task: Token Classification
Library: transformers
Model type: bert
Access: Public
Created: Oct 30, 2023
Updated: Oct 31, 2023
SHA: 3a7a7a8b

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Model card

From the Hugging Face model README

large-bert-cased-ner-finetuned-wikineural-final

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0692
Precision: 0.9032
Recall: 0.9117
F1: 0.9075
Accuracy: 0.9857

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: 9
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0273	1.0	10321	0.0692	0.9032	0.9117	0.9075	0.9857

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Token Classification
Library: transformers
Type: bert
Created: Oct 30, 2023
Updated: Oct 31, 2023