berturk-uncased-keyword-discriminator

yanekyuk/berturk-uncased-keyword-discriminator

berturk-uncased-keyword-discriminator is a token classification model from yanekyuk. 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. --

Downloads · 30 days

11% of all-time downloads

All-time downloads

17.7K

Public

Repo size

1.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin440 MB · 100%

At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Jun 6, 2022
Updated: Jun 6, 2022
SHA: 622dcea3

Try a prompt

Model card

From the Hugging Face model README

berturk-uncased-keyword-discriminator

This model is a fine-tuned version of dbmdz/bert-base-turkish-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3989
Precision: 0.6234
Recall: 0.6508
Accuracy: 0.9145
F1: 0.6368
Ent/precision: 0.6435
Ent/accuracy: 0.7120
Ent/f1: 0.6761
Con/precision: 0.5834
Con/accuracy: 0.5475
Con/f1: 0.5649

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: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	Accuracy	F1	Ent/precision	Ent/accuracy	Ent/f1	Con/precision	Con/accuracy	Con/f1
0.2005	1.0	1875	0.2104	0.5981	0.5978	0.9148	0.5979	0.6280	0.6665	0.6467	0.5383	0.4820	0.5086
0.1468	2.0	3750	0.2094	0.5996	0.6568	0.9164	0.6269	0.6285	0.7049	0.6645	0.5477	0.5757	0.5614
0.1124	3.0	5625	0.2372	0.6106	0.6679	0.9154	0.6380	0.6285	0.7270	0.6741	0.5753	0.5684	0.5718
0.0861	4.0	7500	0.2736	0.6133	0.6707	0.9145	0.6407	0.6281	0.7359	0.6777	0.5830	0.5606	0.5716
0.0644	5.0	9375	0.3081	0.6115	0.6683	0.9145	0.6386	0.6291	0.7293	0.6755	0.5764	0.5657	0.5710
0.0498	6.0	11250	0.3449	0.6245	0.6466	0.9149	0.6353	0.6380	0.7097	0.6720	0.5965	0.5401	0.5669
0.0401	7.0	13125	0.3838	0.6223	0.6545	0.9140	0.6380	0.6449	0.7100	0.6759	0.5790	0.5610	0.5699
0.0329	8.0	15000	0.3989	0.6234	0.6508	0.9145	0.6368	0.6435	0.7120	0.6761	0.5834	0.5475	0.5649

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: mit
Languages: tr
Created: Jun 6, 2022
Updated: Jun 6, 2022