--- license: apache-2.0 base_model: google/vit-base-patch16-224-in21k tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: emotion_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: 0.6375 --- # emotion_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: 1.2745 - Accuracy: 0.6375 ## 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: 0.0001 - 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: 20 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 20 | 1.7629 | 0.4375 | | No log | 2.0 | 40 | 1.5012 | 0.5 | | No log | 3.0 | 60 | 1.3757 | 0.5 | | No log | 4.0 | 80 | 1.2452 | 0.5625 | | No log | 5.0 | 100 | 1.2394 | 0.5625 | | No log | 6.0 | 120 | 1.2083 | 0.6125 | | No log | 7.0 | 140 | 1.2209 | 0.575 | | No log | 8.0 | 160 | 1.2755 | 0.5875 | | No log | 9.0 | 180 | 1.2794 | 0.5687 | | No log | 10.0 | 200 | 1.2639 | 0.6125 | | No log | 11.0 | 220 | 1.3129 | 0.6125 | | No log | 12.0 | 240 | 1.2277 | 0.6312 | | No log | 13.0 | 260 | 1.3620 | 0.5938 | | No log | 14.0 | 280 | 1.3023 | 0.6062 | | No log | 15.0 | 300 | 1.3334 | 0.6 | | No log | 16.0 | 320 | 1.4142 | 0.5813 | | No log | 17.0 | 340 | 1.2863 | 0.6125 | | No log | 18.0 | 360 | 1.4084 | 0.5875 | | No log | 19.0 | 380 | 1.4195 | 0.575 | | No log | 20.0 | 400 | 1.4164 | 0.5938 | ### Framework versions - Transformers 4.33.2 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3