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Buseak/
DistillBerTurk_15_epoch

Name: DistillBerTurk_15_epoch
Availability: InStock

generated_from_trainer

mit

autotrain_compatible

endpoints_compatible

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DistillBerTurk_15_epoch

This model is a fine-tuned version of dbmdz/distilbert-base-turkish-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0549
Accuracy: 0.9931

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	50	0.6766	0.625
No log	2.0	100	0.3955	0.9583
No log	3.0	150	0.0874	0.9792
No log	4.0	200	0.0446	0.9861
No log	5.0	250	0.0725	0.9792
No log	6.0	300	0.0352	0.9931
No log	7.0	350	0.0452	0.9931
No log	8.0	400	0.0442	0.9931
No log	9.0	450	0.0499	0.9931
0.1537	10.0	500	0.0514	0.9931
0.1537	11.0	550	0.0542	0.9931
0.1537	12.0	600	0.0545	0.9931
0.1537	13.0	650	0.0548	0.9931
0.1537	14.0	700	0.0550	0.9931
0.1537	15.0	750	0.0549	0.9931

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Buseak/DistillBerTurk_15_epoch

DistillBerTurk_15_epoch

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Buseak/
DistillBerTurk_15_epoch