farsi_lastname_classifier_1 – AI Model by RawMean | AlphaNeural AI

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RawMean/
farsi_lastname_classifier_1

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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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