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Model save

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  1. README.md +11 -5
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ 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](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2258
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- - Accuracy: 0.5
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  ## Model description
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@@ -46,14 +46,20 @@ 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: 3
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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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- | No log | 0.67 | 1 | 1.6466 | 0.15 |
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- | No log | 2.0 | 3 | 1.2258 | 0.5 |
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4312
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+ - Accuracy: 0.9
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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: 12
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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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+ | No log | 0.67 | 1 | 1.2258 | 0.5 |
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+ | No log | 2.0 | 3 | 1.0536 | 0.7 |
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+ | No log | 2.67 | 4 | 0.9143 | 0.75 |
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+ | No log | 4.0 | 6 | 0.6899 | 0.9 |
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+ | No log | 4.67 | 7 | 0.6300 | 0.95 |
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+ | No log | 6.0 | 9 | 0.5069 | 0.9 |
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+ | 0.8554 | 6.67 | 10 | 0.4671 | 0.9 |
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+ | 0.8554 | 8.0 | 12 | 0.4312 | 0.9 |
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  ### Framework versions
pytorch_model.bin CHANGED
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