my_awesome_wnut_model

Buseak/my_awesome_wnut_model

my_awesome_wnut_model is a token classification model from Buseak. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Dec 22, 2022
Updated: Dec 23, 2022
SHA: 1dc3aee7

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Model card

From the Hugging Face model README

my_awesome_wnut_model

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

Loss: 0.2661
Precision: 0.8999
Recall: 0.8933
F1: 0.8966
Accuracy: 0.9264

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	488	0.3614	0.8731	0.8606	0.8668	0.9043
0.6843	2.0	976	0.2872	0.8927	0.8856	0.8891	0.9209
0.3517	3.0	1464	0.2661	0.8999	0.8933	0.8966	0.9264

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: mit
Created: Dec 22, 2022
Updated: Dec 23, 2022