End of training
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README.md
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This model is a fine-tuned version of [pradanaadn/vit-emotional-classifier](https://huggingface.co/pradanaadn/vit-emotional-classifier) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.6312
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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- eval_batch_size:
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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: cosine_with_restarts
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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This model is a fine-tuned version of [pradanaadn/vit-emotional-classifier](https://huggingface.co/pradanaadn/vit-emotional-classifier) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1830
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- Accuracy: 0.6312
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: cosine_with_restarts
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.9412 | 0.5 | 20 | 1.3606 | 0.575 |
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| 0.8621 | 1.0 | 40 | 1.3134 | 0.6125 |
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| 0.8025 | 1.5 | 60 | 1.2917 | 0.6062 |
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| 0.7077 | 2.0 | 80 | 1.2553 | 0.6062 |
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| 0.7259 | 2.5 | 100 | 1.2128 | 0.625 |
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| 0.5685 | 3.0 | 120 | 1.2036 | 0.625 |
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| 0.5604 | 3.5 | 140 | 1.2057 | 0.6062 |
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| 0.4817 | 4.0 | 160 | 1.1830 | 0.6312 |
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| 0.4421 | 4.5 | 180 | 1.2004 | 0.5875 |
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| 0.4692 | 5.0 | 200 | 1.1568 | 0.6188 |
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### Framework versions
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model.safetensors
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runs/Jun05_09-16-31_f8aa38a62fb7/events.out.tfevents.1717579321.f8aa38a62fb7.237.8
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