| --- |
| license: apache-2.0 |
| base_model: facebook/convnext-tiny-224 |
| tags: |
| - image-classification |
| - generated_from_trainer |
| model-index: |
| - name: idbwtiny |
| 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. --> |
|
|
| # idbwtiny |
|
|
| This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the sooks/id2 dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.0155 |
| - eval_accuracy: 0.9953 |
| - eval_runtime: 301.1388 |
| - eval_samples_per_second: 178.967 |
| - eval_steps_per_second: 22.372 |
| - epoch: 6.37 |
| - step: 12963 |
| |
| ## 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: 0.0002 |
| - train_batch_size: 150 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
| |
| ### Framework versions |
| |
| - Transformers 4.38.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.19.0 |
| - Tokenizers 0.15.2 |
| |
