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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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# farsi_lastname_classifier_bert |
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This model is trained to classify Iranian last names. |
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To use it, type a last name in the space provided on the right and then click on "compute". |
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The model computes probability of the last name being Persian. |
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The compute takes a few seconds to load for the first try (because it needs to load the model first). Subsequent attempt should take only milliseconds. |
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In practice the model can compute the results for an entire batch of data (last names) in a fraction of a second. |
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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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Model is based on Bert ("bert-base-cased") |
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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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