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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: emotion_classification |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: imagefolder |
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type: imagefolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.55625 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# emotion_classification |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3006 |
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- Accuracy: 0.5563 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 30 |
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- eval_batch_size: 30 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 22 | 1.8368 | 0.425 | |
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| No log | 2.0 | 44 | 1.6260 | 0.375 | |
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| No log | 3.0 | 66 | 1.4368 | 0.5 | |
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| No log | 4.0 | 88 | 1.3790 | 0.5062 | |
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| No log | 5.0 | 110 | 1.3382 | 0.5125 | |
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| No log | 6.0 | 132 | 1.3136 | 0.4938 | |
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| No log | 7.0 | 154 | 1.2557 | 0.4938 | |
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| No log | 8.0 | 176 | 1.2959 | 0.5 | |
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| No log | 9.0 | 198 | 1.2810 | 0.5125 | |
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| No log | 10.0 | 220 | 1.2689 | 0.5563 | |
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| No log | 11.0 | 242 | 1.3548 | 0.4875 | |
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| No log | 12.0 | 264 | 1.2026 | 0.5563 | |
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| No log | 13.0 | 286 | 1.2096 | 0.575 | |
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| No log | 14.0 | 308 | 1.3175 | 0.525 | |
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| No log | 15.0 | 330 | 1.3121 | 0.5312 | |
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| No log | 16.0 | 352 | 1.4260 | 0.5312 | |
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| No log | 17.0 | 374 | 1.4547 | 0.5062 | |
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| No log | 18.0 | 396 | 1.3529 | 0.525 | |
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| No log | 19.0 | 418 | 1.2386 | 0.5938 | |
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| No log | 20.0 | 440 | 1.3504 | 0.5375 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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