model_from_berturk_upos_22Jan

Buseak/model_from_berturk_upos_22Jan

model_from_berturk_upos_22Jan 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: Jan 22, 2023
Updated: Jan 22, 2023
SHA: 28f3e837

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Model card

From the Hugging Face model README

model_from_berturk_upos_22Jan

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: 0.0130
Precision: 0.9961
Recall: 0.9953
F1: 0.9957
Accuracy: 0.9967

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	170	0.2285	0.9100	0.9079	0.9089	0.9352
No log	2.0	340	0.1694	0.9303	0.9316	0.9310	0.9510
0.3728	3.0	510	0.1396	0.9420	0.9420	0.9420	0.9589
0.3728	4.0	680	0.1114	0.9561	0.9547	0.9554	0.9681
0.3728	5.0	850	0.0880	0.9657	0.9653	0.9655	0.9754
0.1318	6.0	1020	0.0670	0.9752	0.9730	0.9741	0.9814
0.1318	7.0	1190	0.0535	0.9801	0.9790	0.9795	0.9850
0.1318	8.0	1360	0.0407	0.9867	0.9842	0.9854	0.9894
0.0764	9.0	1530	0.0312	0.9902	0.9881	0.9892	0.9920
0.0764	10.0	1700	0.0254	0.9919	0.9903	0.9911	0.9935
0.0764	11.0	1870	0.0203	0.9939	0.9925	0.9932	0.9948
0.0466	12.0	2040	0.0169	0.9949	0.9939	0.9944	0.9958
0.0466	13.0	2210	0.0148	0.9955	0.9947	0.9951	0.9961
0.0466	14.0	2380	0.0135	0.9959	0.9949	0.9954	0.9966
0.0329	15.0	2550	0.0130	0.9961	0.9953	0.9957	0.9967

Framework versions

Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Jan 22, 2023
Updated: Jan 22, 2023