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petro-daemon

Image Classification
Transformers
TensorFlow
vit
generated_from_keras_callback
Inference Endpoints
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End of training

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  1. README.md +24 -9
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,10 +15,10 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.6516
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- - Validation Loss: 1.7445
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- - Train Accuracy: 0.2
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- - Epoch: 4
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  ## Model description
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@@ -44,11 +44,26 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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- | 1.8912 | 1.8835 | 0.4 | 0 |
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- | 1.8500 | 1.8507 | 0.2 | 1 |
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- | 1.8146 | 1.8129 | 0.2 | 2 |
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- | 1.7311 | 1.7768 | 0.2 | 3 |
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- | 1.6516 | 1.7445 | 0.2 | 4 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.8890
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+ - Validation Loss: 1.1803
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+ - Train Accuracy: 0.6
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+ - Epoch: 19
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  ## Model description
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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+ | 1.6519 | 1.7095 | 0.2 | 0 |
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+ | 1.5905 | 1.6747 | 0.2 | 1 |
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+ | 1.5690 | 1.6342 | 0.2 | 2 |
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+ | 1.5170 | 1.5931 | 0.2 | 3 |
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+ | 1.4764 | 1.5528 | 0.6 | 4 |
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+ | 1.3835 | 1.5079 | 0.6 | 5 |
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+ | 1.3420 | 1.4717 | 0.6 | 6 |
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+ | 1.3171 | 1.4232 | 0.6 | 7 |
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+ | 1.2897 | 1.3905 | 0.6 | 8 |
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+ | 1.2702 | 1.3794 | 0.6 | 9 |
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+ | 1.2023 | 1.3351 | 0.6 | 10 |
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+ | 1.1480 | 1.3384 | 0.6 | 11 |
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+ | 1.1434 | 1.3419 | 0.6 | 12 |
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+ | 1.0499 | 1.3226 | 0.6 | 13 |
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+ | 1.0672 | 1.2647 | 0.6 | 14 |
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+ | 1.0526 | 1.1533 | 0.6 | 15 |
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+ | 1.0184 | 1.1546 | 0.6 | 16 |
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+ | 0.9505 | 1.2491 | 0.6 | 17 |
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+ | 0.9578 | 1.2809 | 0.4 | 18 |
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+ | 0.8890 | 1.1803 | 0.6 | 19 |
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  ### Framework versions
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