my_deneme_3_epoch

Buseak/my_deneme_3_epoch

my_deneme_3_epoch 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 25, 2022
Updated: Dec 25, 2022
SHA: 74a3b3e1

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Model card

From the Hugging Face model README

my_deneme_3_epoch

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: 0.2653
Precision: 0.8985
Recall: 0.8916
F1: 0.8950
Accuracy: 0.9259

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	0.3634	0.8684	0.8580	0.8632	0.9029
0.6954	2.0	976	0.2862	0.8908	0.8838	0.8873	0.9204
0.3535	3.0	1464	0.2653	0.8985	0.8916	0.8950	0.9259

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 25, 2022
Updated: Dec 25, 2022