---
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