| --- |
| license: apache-2.0 |
| base_model: facebook/convnextv2-base-22k-224 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - image_folder |
| metrics: |
| - accuracy |
| model-index: |
| - name: convnextv2-base-22k-224-finetuned-hand_class |
| results: |
| - task: |
| name: Image Classification |
| type: image-classification |
| dataset: |
| name: image_folder |
| type: image_folder |
| config: default |
| split: train |
| args: default |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.7336683417085427 |
| --- |
| |
| <!-- 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. --> |
|
|
| # convnextv2-base-22k-224-finetuned-hand_class |
| |
| This model is a fine-tuned version of [facebook/convnextv2-base-22k-224](https://huggingface.co/facebook/convnextv2-base-22k-224) on the image_folder dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5846 |
| - Accuracy: 0.7337 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 64 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 256 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.6258 | 1.0 | 14 | 0.5879 | 0.7136 | |
| | 0.5574 | 2.0 | 28 | 0.5707 | 0.7286 | |
| | 0.5062 | 3.0 | 42 | 0.5633 | 0.7186 | |
| | 0.4812 | 4.0 | 56 | 0.5761 | 0.7136 | |
| | 0.4418 | 5.0 | 70 | 0.5644 | 0.7312 | |
| | 0.4167 | 6.0 | 84 | 0.5756 | 0.7236 | |
| | 0.4091 | 7.0 | 98 | 0.5751 | 0.7337 | |
| | 0.379 | 8.0 | 112 | 0.5727 | 0.7312 | |
| | 0.3717 | 9.0 | 126 | 0.5877 | 0.7387 | |
| | 0.346 | 10.0 | 140 | 0.5846 | 0.7337 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.33.0 |
| - Pytorch 2.0.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.13.3 |
|
|
