| | --- |
| | library_name: transformers |
| | license: cc-by-nc-4.0 |
| | base_model: TanAlexanderlz/RALL_RGBCROP_Aug16F-polynomial |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: RALL_RGBCROP_5e6-poly_test_eval |
| | 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. --> |
| |
|
| | # RALL_RGBCROP_5e6-poly_test_eval |
| |
|
| | This model is a fine-tuned version of [TanAlexanderlz/RALL_RGBCROP_Aug16F-polynomial](https://huggingface.co/TanAlexanderlz/RALL_RGBCROP_Aug16F-polynomial) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - eval_loss: 0.5478 |
| | - eval_model_preparation_time: 0.0065 |
| | - eval_accuracy: 0.8635 |
| | - eval_precision: 0.8494 |
| | - eval_recall: 0.8835 |
| | - eval_f1: 0.8661 |
| | - eval_auc_roc: 0.9269 |
| | - eval_specificity: 0.8434 |
| | - eval_sensitivity: 0.8835 |
| | - eval_runtime: 111.893 |
| | - eval_samples_per_second: 4.451 |
| | - eval_steps_per_second: 0.563 |
| | - step: 0 |
| | |
| | Confusion Matrix: |
| | Normal Shoplifting |
| | Normal 210 39 |
| | Shoplifting 29 220 |
| | ***** test metrics ***** |
| | eval_accuracy = 0.8635 |
| | eval_auc_roc = 0.9269 |
| | eval_f1 = 0.8661 |
| | eval_loss = 0.5478 |
| | eval_model_preparation_time = 0.0065 |
| | eval_precision = 0.8494 |
| | eval_recall = 0.8835 |
| | eval_runtime = 0:01:50.26 |
| | eval_samples_per_second = 4.516 |
| | eval_sensitivity = 0.8835 |
| | eval_specificity = 0.8434 |
| | eval_steps_per_second = 0.571 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: polynomial |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - training_steps: 4320 |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.52.4 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.21.1 |
| | |
