farsi_lastname_classifier_2

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: 0.0370
• Pearson: 0.9361

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	0.2937	0.7153
No log	2.0	24	0.1063	0.8056
No log	3.0	36	0.0530	0.9110
No log	4.0	48	0.0446	0.9272
No log	5.0	60	0.0445	0.9250
No log	6.0	72	0.0528	0.9096
No log	7.0	84	0.0407	0.9318
No log	8.0	96	0.0344	0.9350
No log	9.0	108	0.0378	0.9359
No log	10.0	120	0.0370	0.9361

Framework versions

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