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@@ -8,37 +8,944 @@ datasets: MNIST
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  metrics:
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  epoch: 31
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  train_loss:
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42
  license: unknown
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  model-index:
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  - name: diffusion-practice-v1
@@ -51,7 +958,7 @@ model-index:
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  type: mnist
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  metrics:
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  - type: loss
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- value: '0.01'
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  name: Loss
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  verified: false
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  ---
@@ -74,7 +981,7 @@ The model was trained on the FEVER (Fact Extraction and VERification) dataset.
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  ## Training procedure
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  The model was trained for 31 epochs
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- Train Losses of [0.0908, 0.0245, 0.0209, 0.0194, 0.0185, 0.0178, 0.0172, 0.0169, 0.0167, 0.0161, 0.0161, 0.0159, 0.0158, 0.0154, 0.0155, 0.0154, 0.0152, 0.0151, 0.015, 0.0152, 0.0151, 0.0148, 0.0148, 0.0148, 0.0147, 0.0146, 0.0147, 0.0145, 0.0146, 0.0146, 0.0146].
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  ## How to use
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@@ -117,3 +1024,5 @@ Limitations and bias
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  ## Plots
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  ![loss plots](loss_plot.png)
 
 
 
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  license: unknown
950
  model-index:
951
  - name: diffusion-practice-v1
 
958
  type: mnist
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  metrics:
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  - type: loss
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+ value: '0.02'
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  name: Loss
963
  verified: false
964
  ---
 
981
  ## Training procedure
982
 
983
  The model was trained for 31 epochs
984
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  ## How to use
987
 
 
1024
 
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  ## Plots
1026
  ![loss plots](loss_plot.png)
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+
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+ ![Generated images](animation.gif)