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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: farsi_lastname_classifier_2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# farsi_lastname_classifier_2
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This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0370
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- Pearson: 0.9361
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 8e-05
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- train_batch_size: 128
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- eval_batch_size: 256
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Pearson |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| No log | 1.0 | 12 | 0.2937 | 0.7153 |
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| No log | 2.0 | 24 | 0.1063 | 0.8056 |
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| No log | 3.0 | 36 | 0.0530 | 0.9110 |
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| No log | 4.0 | 48 | 0.0446 | 0.9272 |
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| No log | 5.0 | 60 | 0.0445 | 0.9250 |
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| No log | 6.0 | 72 | 0.0528 | 0.9096 |
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| No log | 7.0 | 84 | 0.0407 | 0.9318 |
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| No log | 8.0 | 96 | 0.0344 | 0.9350 |
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| No log | 9.0 | 108 | 0.0378 | 0.9359 |
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| No log | 10.0 | 120 | 0.0370 | 0.9361 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.12.1+cu113
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- Datasets 2.6.1
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- Tokenizers 0.13.2
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