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candylion
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ViT_face

Image Classification
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vit
HHD
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ViT
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candylion

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Sep21_11-19-24_4a5a10c1fbcd/events.out.tfevents.1726917567.4a5a10c1fbcd.395.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -19,7 +19,7 @@ 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 face dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5561
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  ## Model description
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@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 38 | 1.0143 |
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- | No log | 2.0 | 76 | 0.8770 |
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- | No log | 3.0 | 114 | 0.7350 |
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- | No log | 4.0 | 152 | 0.6426 |
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- | No log | 5.0 | 190 | 0.5853 |
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- | No log | 6.0 | 228 | 0.5629 |
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- | No log | 7.0 | 266 | 0.5550 |
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- | No log | 8.0 | 304 | 0.5535 |
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- | No log | 9.0 | 342 | 0.5580 |
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- | No log | 10.0 | 380 | 0.5561 |
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  ### Framework versions
 
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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 face dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6263
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 38 | 1.0099 |
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+ | No log | 2.0 | 76 | 0.8830 |
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+ | No log | 3.0 | 114 | 0.7826 |
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+ | No log | 4.0 | 152 | 0.7155 |
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+ | No log | 5.0 | 190 | 0.6714 |
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+ | No log | 6.0 | 228 | 0.6519 |
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+ | No log | 7.0 | 266 | 0.6340 |
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+ | No log | 8.0 | 304 | 0.6233 |
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+ | No log | 9.0 | 342 | 0.6250 |
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+ | No log | 10.0 | 380 | 0.6263 |
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  ### Framework versions
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