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README.md CHANGED
@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.717391304347826
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8398
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- - Accuracy: 0.7174
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  ## Model description
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@@ -51,7 +51,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.005
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -66,41 +66,41 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.86 | 3 | 1.3706 | 0.5217 |
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- | No log | 2.0 | 7 | 1.1520 | 0.6304 |
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- | 1.2948 | 2.86 | 10 | 1.2934 | 0.6087 |
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- | 1.2948 | 4.0 | 14 | 1.2139 | 0.6304 |
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- | 1.2948 | 4.86 | 17 | 2.5946 | 0.5217 |
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- | 1.1888 | 6.0 | 21 | 1.1217 | 0.4783 |
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- | 1.1888 | 6.86 | 24 | 1.1050 | 0.5870 |
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- | 1.1888 | 8.0 | 28 | 1.6684 | 0.3913 |
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- | 1.1236 | 8.86 | 31 | 0.8968 | 0.6739 |
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- | 1.1236 | 10.0 | 35 | 1.2404 | 0.5652 |
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- | 1.1236 | 10.86 | 38 | 0.9957 | 0.6087 |
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- | 1.0477 | 12.0 | 42 | 1.1694 | 0.5 |
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- | 1.0477 | 12.86 | 45 | 0.9247 | 0.6957 |
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- | 1.0477 | 14.0 | 49 | 0.9464 | 0.6304 |
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- | 1.0264 | 14.86 | 52 | 0.8716 | 0.6087 |
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- | 1.0264 | 16.0 | 56 | 0.8909 | 0.6739 |
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- | 1.0264 | 16.86 | 59 | 0.8654 | 0.6739 |
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- | 0.909 | 18.0 | 63 | 0.9091 | 0.6087 |
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- | 0.909 | 18.86 | 66 | 0.8398 | 0.7174 |
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- | 0.8914 | 20.0 | 70 | 0.9393 | 0.6522 |
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- | 0.8914 | 20.86 | 73 | 0.9567 | 0.6739 |
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- | 0.8914 | 22.0 | 77 | 0.9479 | 0.6087 |
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- | 0.8573 | 22.86 | 80 | 0.9308 | 0.6739 |
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- | 0.8573 | 24.0 | 84 | 0.8986 | 0.6739 |
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- | 0.8573 | 24.86 | 87 | 0.9345 | 0.6739 |
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- | 0.8249 | 26.0 | 91 | 0.9843 | 0.6087 |
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- | 0.8249 | 26.86 | 94 | 0.9945 | 0.6087 |
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- | 0.8249 | 28.0 | 98 | 0.9493 | 0.5870 |
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- | 0.8307 | 28.86 | 101 | 0.9074 | 0.6739 |
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- | 0.8307 | 30.0 | 105 | 0.9497 | 0.6304 |
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- | 0.8307 | 30.86 | 108 | 0.9572 | 0.6087 |
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- | 0.7781 | 32.0 | 112 | 0.9732 | 0.6087 |
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- | 0.7781 | 32.86 | 115 | 0.9418 | 0.6304 |
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- | 0.7781 | 34.0 | 119 | 0.9533 | 0.6087 |
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- | 0.8104 | 34.29 | 120 | 0.9481 | 0.6087 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.45652173913043476
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2346
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+ - Accuracy: 0.4565
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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: 0.008
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.86 | 3 | 1.3591 | 0.5435 |
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+ | No log | 2.0 | 7 | 1.2312 | 0.5435 |
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+ | 1.2973 | 2.86 | 10 | 2.0533 | 0.3913 |
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+ | 1.2973 | 4.0 | 14 | 3.3852 | 0.1304 |
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+ | 1.2973 | 4.86 | 17 | 5.4029 | 0.2826 |
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+ | 1.3932 | 6.0 | 21 | 6.7309 | 0.1522 |
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+ | 1.3932 | 6.86 | 24 | 1.1894 | 0.4565 |
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+ | 1.3932 | 8.0 | 28 | 1.3668 | 0.4565 |
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+ | 1.224 | 8.86 | 31 | 1.4738 | 0.3043 |
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+ | 1.224 | 10.0 | 35 | 3.3027 | 0.4783 |
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+ | 1.224 | 10.86 | 38 | 1.5452 | 0.4565 |
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+ | 1.1773 | 12.0 | 42 | 2.5106 | 0.3261 |
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+ | 1.1773 | 12.86 | 45 | 2.3560 | 0.4565 |
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+ | 1.1773 | 14.0 | 49 | 1.3445 | 0.5 |
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+ | 1.2552 | 14.86 | 52 | 1.2641 | 0.4348 |
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+ | 1.2552 | 16.0 | 56 | 1.2810 | 0.4130 |
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+ | 1.2552 | 16.86 | 59 | 1.2486 | 0.4348 |
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+ | 1.1857 | 18.0 | 63 | 1.3769 | 0.4565 |
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+ | 1.1857 | 18.86 | 66 | 1.3311 | 0.3913 |
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+ | 1.2054 | 20.0 | 70 | 1.3728 | 0.3043 |
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+ | 1.2054 | 20.86 | 73 | 1.2437 | 0.4565 |
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+ | 1.2054 | 22.0 | 77 | 1.2751 | 0.4130 |
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+ | 1.2037 | 22.86 | 80 | 1.2529 | 0.4565 |
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+ | 1.2037 | 24.0 | 84 | 1.2354 | 0.4565 |
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+ | 1.2037 | 24.86 | 87 | 1.2389 | 0.4348 |
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+ | 1.1888 | 26.0 | 91 | 1.2456 | 0.4348 |
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+ | 1.1888 | 26.86 | 94 | 1.2312 | 0.4565 |
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+ | 1.1888 | 28.0 | 98 | 1.2453 | 0.4565 |
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+ | 1.1872 | 28.86 | 101 | 1.2507 | 0.4565 |
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+ | 1.1872 | 30.0 | 105 | 1.2599 | 0.4130 |
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+ | 1.1872 | 30.86 | 108 | 1.2493 | 0.4565 |
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+ | 1.1796 | 32.0 | 112 | 1.2411 | 0.4565 |
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+ | 1.1796 | 32.86 | 115 | 1.2362 | 0.4565 |
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+ | 1.1796 | 34.0 | 119 | 1.2301 | 0.4565 |
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+ | 1.199 | 34.29 | 120 | 1.2346 | 0.4565 |
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  ### Framework versions
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