metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: farsi_lastname_classifier_bert
results: []
farsi_lastname_classifier_bert
This model is trained to classify Iranian last names. To use it, type a last name in the space provided on the right and then click on "compute". The model computes probability of the last name being Persian. The model takes a few seconds to load for the first try (because it loads the model). Subsequent attempt should take only milliseconds
It achieves the following results on the evaluation set:
- Loss: 0.0863
- Accuracy: 0.976
Model description
Model is based on Bert ("bert-base-cased")
The following hyperparameters were used during training:
- learning_rate: 1e-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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 12 | 0.6325 | 0.588 |
| No log | 2.0 | 24 | 0.3414 | 0.952 |
| No log | 3.0 | 36 | 0.2496 | 0.97 |
| No log | 4.0 | 48 | 0.1674 | 0.976 |
| No log | 5.0 | 60 | 0.1160 | 0.976 |
| No log | 6.0 | 72 | 0.0917 | 0.972 |
| No log | 7.0 | 84 | 0.0896 | 0.974 |
| No log | 8.0 | 96 | 0.0874 | 0.974 |
| No log | 9.0 | 108 | 0.0869 | 0.974 |
| No log | 10.0 | 120 | 0.0863 | 0.976 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2