Augusto777 commited on
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2beece7
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1 Parent(s): 9d46fc1

End of training

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README.md CHANGED
@@ -31,7 +31,7 @@ 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: 113.9792
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  - Accuracy: 0.1087
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  ## Model description
@@ -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: 0.0003
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -65,41 +65,41 @@ 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 | 113.9792 | 0.1087 |
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- | No log | 2.0 | 7 | 113.9181 | 0.1087 |
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- | 114.2395 | 2.86 | 10 | 113.8813 | 0.1087 |
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- | 114.2395 | 4.0 | 14 | 113.8116 | 0.1087 |
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- | 114.2395 | 4.86 | 17 | 113.6986 | 0.1087 |
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- | 113.364 | 6.0 | 21 | 113.4798 | 0.1087 |
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- | 113.364 | 6.86 | 24 | 113.2337 | 0.1087 |
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- | 113.364 | 8.0 | 28 | 112.8223 | 0.1087 |
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- | 110.1122 | 34.29 | 120 | 108.8197 | 0.1087 |
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  ### Framework versions
 
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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: 113.8883
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  - Accuracy: 0.1087
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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: 2.5e-05
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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 | 113.8883 | 0.1087 |
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+ | No log | 2.0 | 7 | 113.8868 | 0.1087 |
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+ | 114.1606 | 2.86 | 10 | 113.8851 | 0.1087 |
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+ | 114.0835 | 20.0 | 70 | 113.8500 | 0.1087 |
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+ | 114.0835 | 20.86 | 73 | 113.8469 | 0.1087 |
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+ | 114.5528 | 24.0 | 84 | 113.8341 | 0.1087 |
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+ | 114.5528 | 24.86 | 87 | 113.8315 | 0.1087 |
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+ | 114.5432 | 26.0 | 91 | 113.8268 | 0.1087 |
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+ | 114.5432 | 28.0 | 98 | 113.8250 | 0.1087 |
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+ | 112.7825 | 28.86 | 101 | 113.8207 | 0.1087 |
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+ | 112.7825 | 30.0 | 105 | 113.8155 | 0.1087 |
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+ | 112.7825 | 30.86 | 108 | 113.8183 | 0.1087 |
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+ | 114.2965 | 32.0 | 112 | 113.8187 | 0.1087 |
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+ | 114.2965 | 32.86 | 115 | 113.8187 | 0.1087 |
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+ | 114.2965 | 34.0 | 119 | 113.8124 | 0.1087 |
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+ | 114.0925 | 34.29 | 120 | 113.8146 | 0.1087 |
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  ### Framework versions
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