| | --- |
| | license: apache-2.0 |
| | tags: |
| | - image-classification |
| | - vision |
| | - generated_from_trainer |
| | metrics: |
| | - precision |
| | - recall |
| | - f1 |
| | - accuracy |
| | base_model: facebook/convnext-tiny-224 |
| | model-index: |
| | - name: convnext-tiny-224-leicester_binary |
| | 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. --> |
| |
|
| | # convnext-tiny-224-leicester_binary |
| | |
| | This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the davanstrien/leicester_loaded_annotations_binary dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.4213 |
| | - Precision: 0.4583 |
| | - Recall: 0.5 |
| | - F1: 0.4783 |
| | - Accuracy: 0.9167 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 64 |
| | - eval_batch_size: 128 |
| | - seed: 1337 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 1.0 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | | No log | 1.0 | 7 | 0.4213 | 0.4583 | 0.5 | 0.4783 | 0.9167 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.26.0.dev0 |
| | - Pytorch 1.12.1+cu113 |
| | - Datasets 2.7.1 |
| | - Tokenizers 0.13.2 |
| |
|
