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ViT_beans

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  1. README.md +5 -7
  2. model.safetensors +1 -1
  3. runs/Apr10_00-16-56_ba23d053c4e4/events.out.tfevents.1744244221.ba23d053c4e4.358.0 +3 -0
  4. runs/Apr10_00-16-56_ba23d053c4e4/events.out.tfevents.1744245870.ba23d053c4e4.358.1 +3 -0
  5. 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 beans dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7528
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  ## Model description
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@@ -44,17 +44,15 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 17 | 0.7528 |
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- | No log | 2.0 | 34 | 0.5402 |
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- | No log | 3.0 | 51 | 0.4056 |
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- | No log | 4.0 | 68 | 0.3359 |
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- | No log | 5.0 | 85 | 0.3176 |
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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 beans dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7872
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 17 | 0.7872 |
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+ | No log | 2.0 | 34 | 0.6297 |
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+ | No log | 3.0 | 51 | 0.5765 |
 
 
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  ### Framework versions
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