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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_keras_callback |
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model-index: |
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- name: Akhil123/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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# Akhil123/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: 2.0827 |
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- Validation Loss: 2.0793 |
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- Train Accuracy: 0.1437 |
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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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| 1.9720 | 1.6874 | 0.225 | 0 | |
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| 2.0874 | 2.0802 | 0.125 | 1 | |
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| 2.0744 | 2.0407 | 0.2313 | 2 | |
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| 2.0540 | 2.0760 | 0.1688 | 3 | |
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| 2.1039 | 2.0796 | 0.1125 | 4 | |
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| 2.0813 | 2.0794 | 0.1187 | 5 | |
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| 2.0802 | 2.0797 | 0.1187 | 6 | |
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| 2.0793 | 2.0790 | 0.125 | 7 | |
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| 2.0657 | 2.0128 | 0.2 | 8 | |
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| 2.0724 | 2.0920 | 0.125 | 9 | |
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| 2.0896 | 2.0744 | 0.1187 | 10 | |
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| 2.0844 | 2.0824 | 0.1187 | 11 | |
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| 2.0819 | 2.0755 | 0.125 | 12 | |
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| 2.0614 | 2.0392 | 0.1562 | 13 | |
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| 2.0676 | 2.0812 | 0.1187 | 14 | |
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| 2.0810 | 2.0792 | 0.1187 | 15 | |
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| 2.0826 | 2.0813 | 0.1187 | 16 | |
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| 2.0788 | 2.0770 | 0.15 | 17 | |
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| 2.0797 | 2.0733 | 0.125 | 18 | |
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| 2.0827 | 2.0793 | 0.1437 | 19 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- TensorFlow 2.12.0 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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