farsi_lastname_classifier_1

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: 0.0482
• Pearson: 0.9232

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: 8e-05
• 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: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson
No log	1.0	12	0.2705	0.7018
No log	2.0	24	0.0993	0.7986
No log	3.0	36	0.0804	0.8347
No log	4.0	48	0.0433	0.9246
No log	5.0	60	0.0559	0.9176
No log	6.0	72	0.0465	0.9334
No log	7.0	84	0.0503	0.9154
No log	8.0	96	0.0438	0.9222
No log	9.0	108	0.0468	0.9260
No log	10.0	120	0.0482	0.9232

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.2