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--- |
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license: apache-2.0 |
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base_model: microsoft/beit-base-patch16-224-pt22k-ft22k |
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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: finetuned-FER2013 |
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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: 0.6788575409265064 |
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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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# finetuned-FER2013 |
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8812 |
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- Accuracy: 0.6789 |
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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: 5e-06 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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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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| 1.5466 | 1.0 | 202 | 1.5022 | 0.4500 | |
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| 1.3372 | 2.0 | 404 | 1.1727 | 0.5632 | |
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| 1.2372 | 3.0 | 606 | 1.0636 | 0.6075 | |
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| 1.2096 | 4.0 | 808 | 1.0200 | 0.6116 | |
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| 1.145 | 5.0 | 1010 | 0.9769 | 0.6325 | |
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| 1.1589 | 6.0 | 1212 | 0.9515 | 0.6405 | |
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| 1.0752 | 7.0 | 1414 | 0.9395 | 0.6458 | |
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| 1.0524 | 8.0 | 1616 | 0.9331 | 0.6458 | |
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| 1.0829 | 9.0 | 1818 | 0.9173 | 0.6573 | |
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| 1.0219 | 10.0 | 2020 | 0.9114 | 0.6597 | |
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| 0.9986 | 11.0 | 2222 | 0.9034 | 0.6580 | |
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| 1.013 | 12.0 | 2424 | 0.9004 | 0.6656 | |
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| 1.0133 | 13.0 | 2626 | 0.8940 | 0.6628 | |
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| 1.0064 | 14.0 | 2828 | 0.8916 | 0.6649 | |
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| 0.9858 | 15.0 | 3030 | 0.8882 | 0.6733 | |
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| 0.9863 | 16.0 | 3232 | 0.8850 | 0.6740 | |
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| 1.0058 | 17.0 | 3434 | 0.8856 | 0.6747 | |
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| 0.9637 | 18.0 | 3636 | 0.8852 | 0.6722 | |
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| 0.9803 | 19.0 | 3838 | 0.8829 | 0.6754 | |
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| 0.9356 | 20.0 | 4040 | 0.8812 | 0.6789 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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