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swiftformer-xs-dmae-va-U-SF

Image Classification
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swiftformer
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  1. README.md +40 -6
  2. model.safetensors +1 -1
  3. runs/Jan28_17-01-40_4890d88f69da/events.out.tfevents.1706461319.4890d88f69da.2289.0 +2 -2
README.md CHANGED
@@ -16,8 +16,8 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3463
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- - Accuracy: 0.3486
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  ## Model description
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@@ -45,15 +45,49 @@ The following hyperparameters were used during training:
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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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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.9 | 7 | 1.4376 | 0.2477 |
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- | 1.4126 | 1.94 | 15 | 1.3582 | 0.3211 |
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- | 1.359 | 2.71 | 21 | 1.3463 | 0.3486 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6987
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+ - Accuracy: 0.7431
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  ## Model description
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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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+ - num_epochs: 40
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.9 | 7 | 1.3887 | 0.3119 |
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+ | 1.4383 | 1.94 | 15 | 1.3440 | 0.4128 |
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+ | 1.3956 | 2.97 | 23 | 1.3159 | 0.3761 |
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+ | 1.36 | 4.0 | 31 | 1.2907 | 0.3853 |
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+ | 1.36 | 4.9 | 38 | 1.2488 | 0.4404 |
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+ | 1.2912 | 5.94 | 46 | 1.2129 | 0.4037 |
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+ | 1.2387 | 6.97 | 54 | 1.1734 | 0.4679 |
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+ | 1.1607 | 8.0 | 62 | 1.1436 | 0.5138 |
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+ | 1.1607 | 8.9 | 69 | 1.0991 | 0.4954 |
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+ | 1.1224 | 9.94 | 77 | 1.0479 | 0.5505 |
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+ | 1.0547 | 10.97 | 85 | 0.9993 | 0.5963 |
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+ | 1.0137 | 12.0 | 93 | 0.9860 | 0.6147 |
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+ | 0.9652 | 12.9 | 100 | 0.9698 | 0.6147 |
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+ | 0.9652 | 13.94 | 108 | 0.9519 | 0.6055 |
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+ | 0.9217 | 14.97 | 116 | 0.9242 | 0.6055 |
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+ | 0.9122 | 16.0 | 124 | 0.9062 | 0.6147 |
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+ | 0.8763 | 16.9 | 131 | 0.8873 | 0.6422 |
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+ | 0.8763 | 17.94 | 139 | 0.8477 | 0.6514 |
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+ | 0.8471 | 18.97 | 147 | 0.8427 | 0.6514 |
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+ | 0.8331 | 20.0 | 155 | 0.8257 | 0.6881 |
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+ | 0.8167 | 20.9 | 162 | 0.8025 | 0.6881 |
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+ | 0.8022 | 21.94 | 170 | 0.8011 | 0.6972 |
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+ | 0.8022 | 22.97 | 178 | 0.8078 | 0.6972 |
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+ | 0.7996 | 24.0 | 186 | 0.7920 | 0.7064 |
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+ | 0.7962 | 24.9 | 193 | 0.7604 | 0.7248 |
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+ | 0.7268 | 25.94 | 201 | 0.7597 | 0.6972 |
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+ | 0.7268 | 26.97 | 209 | 0.7462 | 0.6972 |
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+ | 0.7477 | 28.0 | 217 | 0.7316 | 0.7064 |
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+ | 0.7411 | 28.9 | 224 | 0.7275 | 0.7523 |
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+ | 0.7415 | 29.94 | 232 | 0.7210 | 0.7248 |
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+ | 0.7159 | 30.97 | 240 | 0.7271 | 0.7248 |
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+ | 0.7159 | 32.0 | 248 | 0.7005 | 0.7431 |
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+ | 0.7322 | 32.9 | 255 | 0.7012 | 0.7431 |
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+ | 0.7124 | 33.94 | 263 | 0.7052 | 0.7523 |
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+ | 0.7194 | 34.97 | 271 | 0.6964 | 0.7615 |
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+ | 0.7194 | 36.0 | 279 | 0.7007 | 0.7523 |
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+ | 0.6903 | 36.13 | 280 | 0.6987 | 0.7431 |
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  ### Framework versions
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