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Training 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 [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6786
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- - Rouge1: 0.4728
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- - Rouge2: 0.2551
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- - Rougel: 0.404
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- - Rougelsum: 0.3999
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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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- | No log | 1.0 | 250 | 1.7499 | 0.1395 | 0.1118 | 0.1226 | 0.1243 |
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- | 1.959 | 2.0 | 500 | 1.6935 | 0.3728 | 0.2321 | 0.3196 | 0.3188 |
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- | 1.959 | 3.0 | 750 | 1.6786 | 0.4728 | 0.2551 | 0.404 | 0.3999 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7600
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+ - Rouge1: 0.1395
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+ - Rouge2: 0.1077
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+ - Rougel: 0.1317
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+ - Rougelsum: 0.1243
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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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+ | No log | 1.0 | 250 | 1.8935 | 0.04 | 0.0359 | 0.0375 | 0.0375 |
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+ | 2.8412 | 2.0 | 500 | 1.7864 | 0.1089 | 0.0865 | 0.1039 | 0.1039 |
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+ | 2.8412 | 3.0 | 750 | 1.7600 | 0.1395 | 0.1077 | 0.1317 | 0.1243 |
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  ### Framework versions
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