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@@ -12,7 +12,7 @@ model-index:
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  dataset:
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  type: amazon-reviews-multi
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  name: amazon_reviews_multi
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- split: test
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  metrics:
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  - type: accuracy
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  value: .80
@@ -102,18 +102,17 @@ 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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  + num_epochs: 5
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- ### Training results
 
 
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- | Epoch | Training Loss | Validation Loss | Accuracy |
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- |:-----:|:-------------:|:---------------:|:--------:|
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- | 1 | 123 | 123 | 123 |
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- | 2 | 123 | 123 | 123 |
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- | 3 | 231 | 123 | 123 |
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- | 4 | 123 | 123 | 123 |
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- | 5 | 123 | 123 | 123 |
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- ## Results
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  # Framework versions
 
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  dataset:
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  type: amazon-reviews-multi
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  name: amazon_reviews_multi
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+ split: Dev
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  metrics:
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  - type: accuracy
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  value: .80
 
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  + optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  + num_epochs: 5
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+ ## Accuracy
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+ The finetuned model was evaluated on the French test set of `amazon_reviews_multi`.
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+ - Accuracy (exact) is the exact match on the number of stars.
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+ - Accuracy (off-by-1) is the percentage of reviews where the number of stars the model predicts differs by a maximum of 1 from the number given by the human reviewer.
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+ | Split | Accuracy (exact) | Accuracy (off-by-1) |
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+ | -------- | ---------------------- | ------------------- |
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+ | Dev set | 56.96% | 85.50%
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+ | Test set | 57.36% | 85.58%
 
 
 
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  # Framework versions