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