| | --- |
| | license: apache-2.0 |
| | base_model: google/vit-base-patch16-224-in21k |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - imagefolder |
| | metrics: |
| | - accuracy |
| | - f1 |
| | model-index: |
| | - name: fish_classification |
| | results: |
| | - task: |
| | name: Image Classification |
| | type: image-classification |
| | dataset: |
| | name: imagefolder |
| | type: imagefolder |
| | config: default |
| | split: validation |
| | args: default |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.9969230769230769 |
| | - name: F1 |
| | type: f1 |
| | value: 0.9970182569296375 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # fish_classification |
| | |
| | This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2213 |
| | - Accuracy: 0.9969 |
| | - F1: 0.9970 |
| | |
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 7 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | | 1.5189 | 1.0 | 71 | 1.0828 | 0.9969 | 0.9970 | |
| | | 0.7083 | 2.0 | 142 | 0.5398 | 0.9954 | 0.9955 | |
| | | 0.3727 | 3.0 | 213 | 0.3473 | 0.9954 | 0.9955 | |
| | | 0.2624 | 4.0 | 284 | 0.2734 | 0.9985 | 0.9985 | |
| | | 0.2184 | 5.0 | 355 | 0.2401 | 0.9985 | 0.9985 | |
| | | 0.1972 | 6.0 | 426 | 0.2238 | 0.9985 | 0.9985 | |
| | | 0.1879 | 7.0 | 497 | 0.2213 | 0.9969 | 0.9970 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.38.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| | |
