| --- |
| library_name: transformers |
| license: mit |
| base_model: somukandula/maskara-tiny |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| model-index: |
| - name: maskara-tiny |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # maskara-tiny |
|
|
| This model is a fine-tuned version of [somukandula/maskara-tiny](https://huggingface.co/somukandula/maskara-tiny) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5828 |
| - Precision: 0.8369 |
| - Recall: 0.9271 |
| - F1: 0.8797 |
| - Overall F1: 0.8172 |
| - Address F1: 0.6667 |
| - Api Key F1: 1.0 |
| - Credit Card F1: 0.0 |
| - Date Of Birth F1: 1.0 |
| - Driver License F1: 0.9875 |
| - Email F1: 1.0 |
| - Ip Address F1: 1.0 |
| - Password F1: 0.0 |
| - Person Name F1: 0.8378 |
| - Phone F1: 0.8267 |
| - Ssn F1: 0.0 |
| - Username F1: 1.0 |
| - Aadhaar F1: 0.9637 |
| - Pan Card F1: 1.0 |
| - Passport F1: 0.0 |
| - Upi Id F1: 1.0 |
| - Vehicle Reg F1: 0.975 |
| - Indian Id F1: 0.9847 |
|
|
| ## 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: 1e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.06 |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Overall F1 | Address F1 | Api Key F1 | Credit Card F1 | Date Of Birth F1 | Driver License F1 | Email F1 | Ip Address F1 | Password F1 | Person Name F1 | Phone F1 | Ssn F1 | Username F1 | Aadhaar F1 | Pan Card F1 | Passport F1 | Upi Id F1 | Vehicle Reg F1 | Indian Id F1 | |
| |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:----------:|:----------:|:----------:|:--------------:|:----------------:|:-----------------:|:--------:|:-------------:|:-----------:|:--------------:|:--------:|:------:|:-----------:|:----------:|:-----------:|:-----------:|:---------:|:--------------:|:------------:| |
| | 0.0006 | 1.0 | 14283 | 0.6201 | 0.7070 | 0.7883 | 0.7454 | 0.7770 | 0.9996 | 0.9888 | 0.2740 | 0.9882 | 0.5042 | 0.6678 | 0.9995 | 0.5025 | 0.8300 | 0.6457 | 1.0 | 0.9623 | 0.6661 | 0.8804 | 0.9544 | 0.9077 | 0.4370 | 0.7228 | |
| | 0.0003 | 2.0 | 28566 | 0.4654 | 0.7210 | 0.8069 | 0.7615 | 0.7900 | 0.9998 | 0.9880 | 0.3006 | 0.9835 | 0.5868 | 0.7152 | 0.9667 | 0.6032 | 0.8403 | 0.6424 | 1.0 | 0.9833 | 0.6575 | 0.8424 | 0.8378 | 0.9728 | 0.5097 | 0.7456 | |
| | 0.0003 | 3.0 | 42849 | 0.5373 | 0.7026 | 0.8087 | 0.7519 | 0.7755 | 0.9992 | 0.9857 | 0.2915 | 0.9859 | 0.5949 | 0.7581 | 0.9446 | 0.4776 | 0.8277 | 0.6466 | 1.0 | 0.9880 | 0.6732 | 0.8555 | 0.8258 | 0.9161 | 0.4128 | 0.7144 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.44.2 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 2.21.0 |
| - Tokenizers 0.19.1 |
| |
