model_from_berturk_upos_22Jan_val_on_dev_v1

Buseak/model_from_berturk_upos_22Jan_val_on_dev_v1

model_from_berturk_upos_22Jan_val_on_dev_v1 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: 964f27f2

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Model card

From the Hugging Face model README

model_from_berturk_upos_22Jan_val_on_dev_v1

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: 0.4600
Precision: 0.8894
Recall: 0.8931
F1: 0.8913
Accuracy: 0.9217

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	0.3259	0.8864	0.8851	0.8857	0.9170
No log	2.0	340	0.2976	0.8991	0.9005	0.8998	0.9271
0.3859	3.0	510	0.2988	0.8970	0.8981	0.8976	0.9257
0.3859	4.0	680	0.3131	0.8977	0.8984	0.8981	0.9267
0.3859	5.0	850	0.3291	0.8943	0.8974	0.8958	0.9246
0.1338	6.0	1020	0.3298	0.8974	0.8984	0.8979	0.9253
0.1338	7.0	1190	0.3538	0.8908	0.8950	0.8929	0.9222
0.1338	8.0	1360	0.3879	0.8903	0.8921	0.8912	0.9220
0.0798	9.0	1530	0.3852	0.8929	0.8933	0.8931	0.9228
0.0798	10.0	1700	0.4111	0.8873	0.8896	0.8884	0.9196
0.0798	11.0	1870	0.4254	0.8928	0.8940	0.8934	0.9231
0.0507	12.0	2040	0.4476	0.8911	0.8930	0.8921	0.9224
0.0507	13.0	2210	0.4478	0.8900	0.8926	0.8913	0.9220
0.0507	14.0	2380	0.4563	0.8896	0.8931	0.8914	0.9217
0.0357	15.0	2550	0.4600	0.8894	0.8931	0.8913	0.9217

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