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yanekyuk/
convberturk-keyword-extractor

Name: convberturk-keyword-extractor
Availability: InStock

generated_from_trainer

mit

autotrain_compatible

endpoints_compatible

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convberturk-keyword-extractor

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

Loss: 0.4098
Precision: 0.6742
Recall: 0.7035
Accuracy: 0.9175
F1: 0.6886

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
0.174	1.0	1875	0.1920	0.6546	0.6869	0.9184	0.6704
0.1253	2.0	3750	0.2030	0.6527	0.7317	0.9179	0.6900
0.091	3.0	5625	0.2517	0.6499	0.7473	0.9163	0.6952
0.0684	4.0	7500	0.2828	0.6633	0.7270	0.9167	0.6937
0.0536	5.0	9375	0.3307	0.6706	0.7194	0.9180	0.6942
0.0384	6.0	11250	0.3669	0.6655	0.7161	0.9157	0.6898
0.0316	7.0	13125	0.3870	0.6792	0.7002	0.9176	0.6895
0.0261	8.0	15000	0.4098	0.6742	0.7035	0.9175	0.6886

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

yanekyuk/convberturk-keyword-extractor

convberturk-keyword-extractor

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yanekyuk/
convberturk-keyword-extractor