ner_kaggle_class_prediction_model

alexlopitz/ner_kaggle_class_prediction_model

ner_kaggle_class_prediction_model is a token classification model from alexlopitz. 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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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Dec 24, 2022
Updated: Dec 24, 2022
SHA: e0d40087

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Model card

From the Hugging Face model README

ner_kaggle_class_prediction_model

This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0191
Precision: 0.9850
Recall: 0.9830
F1: 0.9840
Accuracy: 0.9950

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
0.1304	1.0	806	0.0202	0.9823	0.9794	0.9808	0.9940
0.0142	2.0	1612	0.0178	0.9819	0.9826	0.9823	0.9945
0.0081	3.0	2418	0.0191	0.9850	0.9830	0.9840	0.9950

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Dec 24, 2022
Updated: Dec 24, 2022