| --- |
| license: apache-2.0 |
| base_model: google/vit-base-patch16-224-in21k |
| tags: |
| - generated_from_trainer |
| datasets: |
| - imagefolder |
| metrics: |
| - accuracy |
| model-index: |
| - name: emotion_image_classification |
| results: |
| - task: |
| name: Image Classification |
| type: image-classification |
| dataset: |
| name: imagefolder |
| type: imagefolder |
| config: default |
| split: train |
| args: default |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.6 |
| --- |
| |
| <!-- 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. --> |
|
|
| # emotion_image_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: 1.1587 |
| - Accuracy: 0.6 |
|
|
| ## 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: 7e-05 |
| - train_batch_size: 12 |
| - eval_batch_size: 12 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 54 | 1.6922 | 0.2875 | |
| | No log | 2.0 | 108 | 1.4183 | 0.4688 | |
| | No log | 3.0 | 162 | 1.3431 | 0.4437 | |
| | No log | 4.0 | 216 | 1.1979 | 0.5437 | |
| | No log | 5.0 | 270 | 1.1368 | 0.6188 | |
| | No log | 6.0 | 324 | 1.1457 | 0.5875 | |
| | No log | 7.0 | 378 | 1.1509 | 0.575 | |
| | No log | 8.0 | 432 | 1.1037 | 0.5938 | |
| | No log | 9.0 | 486 | 1.1060 | 0.575 | |
| | 1.1174 | 10.0 | 540 | 1.1083 | 0.5938 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.17.0 |
| - Tokenizers 0.15.2 |
|
|
