farsi_lastname_classifier

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: 0.0436
• Pearson: 0.9325

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	0.2989	0.6985
No log	2.0	24	0.1378	0.7269
No log	3.0	36	0.0459	0.9122
No log	4.0	48	0.0454	0.9304
No log	5.0	60	0.0564	0.9168
No log	6.0	72	0.0434	0.9315
No log	7.0	84	0.0452	0.9254
No log	8.0	96	0.0381	0.9320
No log	9.0	108	0.0441	0.9327
No log	10.0	120	0.0436	0.9325

Framework versions

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