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ViT_beans

Image Classification
Transformers
TensorBoard
Safetensors
vit
HHD
3_class
ViT
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  1. README.md +9 -10
  2. model.safetensors +1 -1
  3. runs/Sep02_03-54-25_3d244b9d4949/events.out.tfevents.1725249281.3d244b9d4949.6417.11 +3 -0
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  6. runs/Sep02_03-59-20_3d244b9d4949/events.out.tfevents.1725249566.3d244b9d4949.6417.14 +3 -0
  7. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ 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: 0.0515
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0002
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- - train_batch_size: 16
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- - eval_batch_size: 8
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  - seed: 42
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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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- - num_epochs: 4
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- - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 0.0722 | 1.5385 | 100 | 0.1296 |
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- | 0.0629 | 3.0769 | 200 | 0.0515 |
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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: 0.7118
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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  - seed: 42
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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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+ - num_epochs: 2
 
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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 | 0.8068 |
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+ | No log | 2.0 | 34 | 0.7118 |
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  ### Framework versions
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