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vit-Facial-Expression-Recognition

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  1. README.md +14 -18
  2. model.safetensors +1 -1
README.md CHANGED
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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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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.7057676232933965
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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
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-base-patch16-224-in21k-finetuned
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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 image_folder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9803
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- - Accuracy: 0.7058
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  ## Model description
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@@ -61,22 +61,18 @@ The following hyperparameters were used during training:
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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: 10
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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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- | 0.4887 | 1.0 | 224 | 0.9213 | 0.6776 |
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- | 0.4969 | 2.0 | 449 | 0.9038 | 0.6927 |
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- | 0.4095 | 3.0 | 673 | 0.9077 | 0.6977 |
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- | 0.3344 | 4.0 | 898 | 0.9398 | 0.6989 |
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- | 0.3055 | 5.0 | 1122 | 0.9803 | 0.7058 |
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- | 0.2214 | 6.0 | 1347 | 1.0337 | 0.6953 |
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- | 0.1575 | 7.0 | 1571 | 1.0642 | 0.6977 |
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- | 0.1169 | 8.0 | 1796 | 1.0829 | 0.7030 |
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- | 0.0917 | 9.0 | 2020 | 1.1121 | 0.7048 |
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- | 0.0785 | 9.98 | 2240 | 1.1280 | 0.7052 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: motheecreator/vit-base-patch16-224-in21k-finetuned
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.7837562656641605
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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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  # vit-base-patch16-224-in21k-finetuned
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+ This model is a fine-tuned version of [motheecreator/vit-base-patch16-224-in21k-finetuned](https://huggingface.co/motheecreator/vit-base-patch16-224-in21k-finetuned) on the image_folder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6533
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+ - Accuracy: 0.7838
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  ## Model description
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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: 6
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  ### Training results
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+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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+ |:-------------:|:-----:|:----:|:--------:|:---------------:|
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+ | 0.7964 | 1.0 | 798 | 0.7271 | 0.7869 |
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+ | 0.6567 | 2.0 | 1596 | 0.7380 | 0.7539 |
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+ | 0.6842 | 3.0 | 2394 | 0.6287 | 0.7837 |
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+ | 0.5242 | 4.0 | 3192 | 0.6282 | 0.7839 |
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+ | 0.4321 | 5.0 | 3990 | 0.6423 | 0.7823 |
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+ | 0.3129 | 6.0 | 4788 | 0.6533 | 0.7838 |
 
 
 
 
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  ### Framework versions
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