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End of training

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  1. README.md +12 -12
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  This model is a fine-tuned version of [GuysTrans/bart-base-finetuned-xsum](https://huggingface.co/GuysTrans/bart-base-finetuned-xsum) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1193
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- - Rouge1: 16.67
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- - Rouge2: 12.3466
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- - Rougel: 15.9675
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- - Rougelsum: 16.4462
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- - Bleu-1: 0.0065
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- - Bleu-2: 0.0059
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- - Bleu-3: 0.0056
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- - Bleu-4: 0.0055
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  - Gen Len: 20.0
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
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- |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:-------:|:---------:|:------:|:------:|:------:|:------:|:-------:|
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- | 2.1879 | 1.0 | 28600 | 1.1193 | 16.67 | 12.3466 | 15.9675 | 16.4462 | 0.0065 | 0.0059 | 0.0056 | 0.0055 | 20.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [GuysTrans/bart-base-finetuned-xsum](https://huggingface.co/GuysTrans/bart-base-finetuned-xsum) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0932
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+ - Rouge1: 17.1543
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+ - Rouge2: 12.9074
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+ - Rougel: 16.512
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+ - Rougelsum: 16.9278
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+ - Bleu-1: 0.0079
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+ - Bleu-2: 0.0073
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+ - Bleu-3: 0.007
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+ - Bleu-4: 0.0068
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  - Gen Len: 20.0
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  ## Model description
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:------:|:---------:|:------:|:------:|:------:|:------:|:-------:|
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+ | 2.1136 | 1.0 | 28600 | 1.0932 | 17.1543 | 12.9074 | 16.512 | 16.9278 | 0.0079 | 0.0073 | 0.007 | 0.0068 | 20.0 |
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  ### Framework versions
pytorch_model.bin CHANGED
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