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Training in progress epoch 3

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README.md CHANGED
@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.4603
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- - Train Accuracy: 0.5278
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- - Train Top-3-accuracy: 0.7790
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- - Validation Loss: 1.4162
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- - Validation Accuracy: 0.5417
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- - Validation Top-3-accuracy: 0.8021
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- - Epoch: 2
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  ## Model description
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@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
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  | 2.6504 | 0.2057 | 0.3591 | 2.2693 | 0.3299 | 0.5069 | 0 |
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  | 1.8871 | 0.4062 | 0.6494 | 1.6561 | 0.4618 | 0.7083 | 1 |
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  | 1.4603 | 0.5278 | 0.7790 | 1.4162 | 0.5417 | 0.8021 | 2 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 1.1499
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+ - Train Accuracy: 0.6199
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+ - Train Top-3-accuracy: 0.8676
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+ - Validation Loss: 1.2030
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+ - Validation Accuracy: 0.625
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+ - Validation Top-3-accuracy: 0.8646
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+ - Epoch: 3
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  ## Model description
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  | 2.6504 | 0.2057 | 0.3591 | 2.2693 | 0.3299 | 0.5069 | 0 |
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  | 1.8871 | 0.4062 | 0.6494 | 1.6561 | 0.4618 | 0.7083 | 1 |
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  | 1.4603 | 0.5278 | 0.7790 | 1.4162 | 0.5417 | 0.8021 | 2 |
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+ | 1.1499 | 0.6199 | 0.8676 | 1.2030 | 0.625 | 0.8646 | 3 |
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  ### Framework versions
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