BerTurkBase_15_epoch_v2 – AI Model by Buseak | AlphaNeural AI

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Buseak/
BerTurkBase_15_epoch_v2

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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BerTurkBase_15_epoch_v2

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: 0.0612
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	0.5546	0.7917
No log	2.0	100	0.0814	0.9792
No log	3.0	150	0.0494	0.9931
No log	4.0	200	0.0524	0.9931
No log	5.0	250	0.0550	0.9931
No log	6.0	300	0.0560	0.9931
No log	7.0	350	0.0593	0.9931
No log	8.0	400	0.0603	0.9931
No log	9.0	450	0.0592	0.9931
0.1025	10.0	500	0.0605	0.9931
0.1025	11.0	550	0.0602	0.9931
0.1025	12.0	600	0.0601	0.9931
0.1025	13.0	650	0.0604	0.9931
0.1025	14.0	700	0.0611	0.9931
0.1025	15.0	750	0.0612	0.9931

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2