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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: farsi_lastname_classifier_bert
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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_bert
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0863
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- Accuracy: 0.976
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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: 1e-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 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 12 | 0.6325 | 0.588 |
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| No log | 2.0 | 24 | 0.3414 | 0.952 |
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| No log | 3.0 | 36 | 0.2496 | 0.97 |
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| No log | 4.0 | 48 | 0.1674 | 0.976 |
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| No log | 5.0 | 60 | 0.1160 | 0.976 |
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| No log | 6.0 | 72 | 0.0917 | 0.972 |
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| No log | 7.0 | 84 | 0.0896 | 0.974 |
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| No log | 8.0 | 96 | 0.0874 | 0.974 |
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| No log | 9.0 | 108 | 0.0869 | 0.974 |
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| No log | 10.0 | 120 | 0.0863 | 0.976 |
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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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