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motheecreator
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vit-Facial-Expression-Recognition

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  1. README.md +12 -8
  2. model.safetensors +1 -1
  3. runs/May24_23-40-34_371088ce566e/events.out.tfevents.1716594044.371088ce566e.42.0 +2 -2
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: 0.7839129072681704
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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 [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: 0.6282
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- - Accuracy: 0.7839
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  ## Model description
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@@ -61,7 +61,7 @@ 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: 6
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  ### Training results
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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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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8571428571428571
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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 [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: 0.4353
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+ - Accuracy: 0.8571
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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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  |:-------------:|:-----:|:----:|:--------:|:---------------:|
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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 | 0.7837 | 0.6287 |
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+ | 0.5242 | 4.0 | 3192 | 0.7839 | 0.6282 |
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+ | 0.4321 | 5.0 | 3990 | 0.7823 | 0.6423 |
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+ | 0.3129 | 6.0 | 4788 | 0.7838 | 0.6533 |
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+ | 0.4245 | 7.0 | 5586 | 0.4382 | 0.8542 |
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+ | 0.3806 | 8.0 | 6384 | 0.4375 | 0.8531 |
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+ | 0.3112 | 9.0 | 7182 | 0.4372 | 0.8557 |
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+ | 0.2692 | 10.0 | 7980 | 0.4353 | 0.8571 |
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  ### Framework versions
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