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End of training

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README.md CHANGED
@@ -19,12 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [muchad/idt5-base](https://huggingface.co/muchad/idt5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3062
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- - Rouge1: 0.3601
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- - Rouge2: 0.1916
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- - Rougel: 0.3400
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- - Rougelsum: 0.3400
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- - Bleu: 0.1048
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  ## Model description
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@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
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- | 1.5911 | 1.0 | 4695 | 1.4095 | 0.3387 | 0.1717 | 0.3191 | 0.3191 | 0.0946 |
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- | 1.3763 | 2.0 | 9390 | 1.3437 | 0.3500 | 0.1839 | 0.3305 | 0.3304 | 0.1004 |
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- | 1.2634 | 3.0 | 14085 | 1.3158 | 0.3576 | 0.1892 | 0.3385 | 0.3385 | 0.1024 |
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- | 1.1552 | 4.0 | 18780 | 1.2977 | 0.3589 | 0.1889 | 0.3390 | 0.3391 | 0.1010 |
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- | 1.1018 | 5.0 | 23475 | 1.3062 | 0.3601 | 0.1916 | 0.3400 | 0.3400 | 0.1048 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [muchad/idt5-base](https://huggingface.co/muchad/idt5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3401
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+ - Rouge1: 0.3492
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+ - Rouge2: 0.1828
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+ - Rougel: 0.3286
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+ - Rougelsum: 0.3286
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+ - Bleu: 0.0958
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
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+ | 1.5829 | 1.0 | 4695 | 1.4731 | 0.3294 | 0.1679 | 0.3099 | 0.3099 | 0.0901 |
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+ | 1.3887 | 2.0 | 9390 | 1.3800 | 0.3385 | 0.1742 | 0.3196 | 0.3196 | 0.0906 |
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+ | 1.2682 | 3.0 | 14085 | 1.3448 | 0.3446 | 0.1790 | 0.3240 | 0.3240 | 0.0946 |
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+ | 1.1493 | 4.0 | 18780 | 1.3394 | 0.3483 | 0.1828 | 0.3285 | 0.3286 | 0.0935 |
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+ | 1.0995 | 5.0 | 23475 | 1.3401 | 0.3492 | 0.1828 | 0.3286 | 0.3286 | 0.0958 |
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  ### Framework versions
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