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@@ -152,27 +152,30 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
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  ## Training Results
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  [1000/1000 52:20, Epoch 0/1]
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- Step Training Loss
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- 50 0.474200
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- 100 0.523300
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- 150 0.484500
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- 200 0.482800
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- 250 0.498800
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- 300 0.451800
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- 350 0.491800
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- 400 0.488000
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- 450 0.472800
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- 500 0.460400
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- 550 0.464700
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- 600 0.484800
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- 650 0.474600
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- 700 0.477900
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- 750 0.445300
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- 800 0.431300
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- 850 0.461500
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- 900 0.451200
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- 950 0.470800
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- 1000 0.454900
 
 
 
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  ### Model Architecture and Objective
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  ## Training Results
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  [1000/1000 52:20, Epoch 0/1]
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+
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+ | Step | Training Loss |
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+ |-------|--------------|
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+ | 50 | 0.474200 |
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+ | 100 | 0.523300 |
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+ | 150 | 0.484500 |
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+ | 200 | 0.482800 |
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+ | 250 | 0.498800 |
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+ | 300 | 0.451800 |
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+ | 350 | 0.491800 |
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+ | 400 | 0.488000 |
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+ | 450 | 0.472800 |
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+ | 500 | 0.460400 |
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+ | 550 | 0.464700 |
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+ | 600 | 0.484800 |
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+ | 650 | 0.474600 |
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+ | 700 | 0.477900 |
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+ | 750 | 0.445300 |
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+ | 800 | 0.431300 |
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+ | 850 | 0.461500 |
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+ | 900 | 0.451200 |
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+ | 950 | 0.470800 |
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+ | 1000 | 0.454900 |
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+
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  ### Model Architecture and Objective
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