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Training on SAMSum complete!

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README.md CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3770
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- - Rouge1: 0.3912
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- - Rouge2: 0.1962
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- - Rougel: 0.2988
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- - Rougelsum: 0.2989
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  ## Model description
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@@ -55,7 +55,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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- | 1.3353 | 0.54 | 500 | 1.4306 | 0.3925 | 0.1959 | 0.3017 | 0.3012 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3635
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+ - Rouge1: 0.3962
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+ - Rouge2: 0.2011
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+ - Rougel: 0.3064
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+ - Rougelsum: 0.3064
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | 1.3824 | 0.43 | 400 | 1.4666 | 0.3995 | 0.2014 | 0.3061 | 0.3064 |
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+ | 1.2617 | 0.87 | 800 | 1.3350 | 0.4065 | 0.2063 | 0.3113 | 0.3115 |
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  ### Framework versions
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