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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: CynthiaCR/emotions_classifier |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# CynthiaCR/emotions_classifier |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.3846 |
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- Validation Loss: 1.6122 |
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- Train Accuracy: 0.2687 |
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- Epoch: 19 |
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0003, 'decay_steps': 12800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Accuracy | Epoch | |
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|:----------:|:---------------:|:--------------:|:-----:| |
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| 2.0363 | 2.0960 | 0.1 | 0 | |
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| 2.0822 | 2.1254 | 0.0813 | 1 | |
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| 1.9916 | 1.9392 | 0.2062 | 2 | |
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| 1.9223 | 1.8385 | 0.1688 | 3 | |
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| 1.8213 | 1.7294 | 0.2313 | 4 | |
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| 1.6940 | 1.6953 | 0.2625 | 5 | |
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| 1.7153 | 1.6009 | 0.3187 | 6 | |
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| 1.5788 | 1.6385 | 0.275 | 7 | |
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| 1.5359 | 1.5635 | 0.3438 | 8 | |
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| 1.4768 | 1.6180 | 0.325 | 9 | |
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| 1.4746 | 1.6063 | 0.3125 | 10 | |
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| 1.5163 | 1.5641 | 0.3625 | 11 | |
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| 1.4692 | 1.5722 | 0.3063 | 12 | |
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| 1.4468 | 1.7363 | 0.35 | 13 | |
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| 1.7116 | 1.7531 | 0.2687 | 14 | |
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| 1.5334 | 1.5908 | 0.2562 | 15 | |
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| 1.4988 | 1.5169 | 0.3312 | 16 | |
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| 1.4605 | 1.5041 | 0.2812 | 17 | |
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| 1.3545 | 1.4824 | 0.3187 | 18 | |
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| 1.3846 | 1.6122 | 0.2687 | 19 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- TensorFlow 2.12.0 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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