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End of training

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  1. README.md +8 -8
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 52.8764
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,12 +32,12 @@ 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-xsum](https://huggingface.co/facebook/bart-large-xsum) on the samsum dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4766
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- - Rouge1: 52.8764
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- - Rouge2: 27.4687
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- - Rougel: 43.0733
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- - Rougelsum: 48.2456
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- - Gen Len: 31.2787
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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- | 0.0706 | 1.0 | 3683 | 0.4766 | 52.8764 | 27.4687 | 43.0733 | 48.2456 | 31.2787 |
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  ### Framework versions
 
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 52.5936
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the samsum dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5174
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+ - Rouge1: 52.5936
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+ - Rouge2: 26.9042
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+ - Rougel: 42.5782
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+ - Rougelsum: 47.9894
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+ - Gen Len: 31.1259
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 0.0551 | 1.0 | 3683 | 0.5174 | 52.5936 | 26.9042 | 42.5782 | 47.9894 | 31.1259 |
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  ### Framework versions
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