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End of training

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  1. README.md +11 -10
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -32,7 +32,7 @@ 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 imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3180
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  - Accuracy: 1.0
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  ## Model description
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  - train_batch_size: 6
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  - eval_batch_size: 6
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  - seed: 42
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- - gradient_accumulation_steps: 4
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- - total_train_batch_size: 24
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 1 | 0.4744 | 1.0 |
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- | No log | 2.0 | 3 | 0.4077 | 0.75 |
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- | No log | 3.0 | 5 | 0.3667 | 1.0 |
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- | No log | 4.0 | 6 | 0.3882 | 1.0 |
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- | No log | 5.0 | 7 | 0.3146 | 1.0 |
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- | No log | 6.0 | 9 | 0.2811 | 1.0 |
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- | No log | 6.67 | 10 | 0.3180 | 1.0 |
 
 
 
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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 imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1320
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  - Accuracy: 1.0
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  ## Model description
 
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  - train_batch_size: 6
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  - eval_batch_size: 6
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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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  - lr_scheduler_warmup_ratio: 0.1
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 3 | 0.2907 | 1.0 |
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+ | No log | 2.0 | 6 | 0.3263 | 0.75 |
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+ | No log | 3.0 | 9 | 0.1912 | 1.0 |
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+ | No log | 4.0 | 12 | 0.1993 | 1.0 |
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+ | No log | 5.0 | 15 | 0.1437 | 1.0 |
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+ | No log | 6.0 | 18 | 0.1236 | 1.0 |
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+ | 0.175 | 7.0 | 21 | 0.1102 | 1.0 |
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+ | 0.175 | 8.0 | 24 | 0.0924 | 1.0 |
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+ | 0.175 | 9.0 | 27 | 0.1220 | 1.0 |
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+ | 0.175 | 10.0 | 30 | 0.1320 | 1.0 |
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  ### Framework versions
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