farsi_lastname_classifier_4 – AI Model by RawMean | AlphaNeural AI

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RawMean/
farsi_lastname_classifier_4

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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farsi_lastname_classifier_4

This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2337
Accuracy: 0.96

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: 0.0001
train_batch_size: 128
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	12	0.5673	0.836
No log	2.0	24	0.4052	0.868
No log	3.0	36	0.2211	0.932
No log	4.0	48	0.2488	0.926
No log	5.0	60	0.1490	0.954
No log	6.0	72	0.1464	0.968
No log	7.0	84	0.1923	0.954
No log	8.0	96	0.2070	0.96
No log	9.0	108	0.2055	0.962
No log	10.0	120	0.2436	0.942
No log	11.0	132	0.2173	0.96
No log	12.0	144	0.2342	0.956
No log	13.0	156	0.2337	0.962
No log	14.0	168	0.2332	0.96
No log	15.0	180	0.2337	0.96

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2