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vit-Facial-Expression-Recognition

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  1. README.md +14 -9
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.6982446363889663
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.8524
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- - Accuracy: 0.6982
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  ## Model description
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@@ -61,17 +61,22 @@ 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: 5
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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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- | 0.8333 | 1.0 | 224 | 0.9670 | 0.6474 |
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- | 0.7972 | 2.0 | 449 | 0.9123 | 0.6654 |
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- | 0.667 | 3.0 | 673 | 0.8677 | 0.6886 |
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- | 0.5729 | 4.0 | 898 | 0.8487 | 0.6938 |
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- | 0.5347 | 4.99 | 1120 | 0.8524 | 0.6982 |
 
 
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.7052103650041794
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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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  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: 1.1280
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+ - Accuracy: 0.7052
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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: 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
model.safetensors CHANGED
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