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End of training

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README.md CHANGED
@@ -18,10 +18,10 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.6665
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- - Rouge1: 34.5395
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- - Rouge2: 28.1355
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- - Rougel: 34.511
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- - Rougelsum: 34.5702
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  - Gen Len: 6.4385
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  ## Model description
@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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- | 1.1889 | 1.0 | 6056 | 1.7462 | 35.0128 | 28.2062 | 34.9183 | 34.9898 | 7.2062 |
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- | 1.0076 | 2.0 | 12112 | 1.7262 | 34.4492 | 27.6944 | 34.3991 | 34.4121 | 6.8452 |
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- | 0.9798 | 3.0 | 18168 | 1.6861 | 34.5767 | 28.1063 | 34.5199 | 34.5759 | 6.6332 |
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- | 0.9324 | 4.0 | 24224 | 1.7051 | 34.2272 | 27.9947 | 34.2424 | 34.2402 | 6.8740 |
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- | 0.8892 | 5.0 | 30280 | 1.6665 | 34.5395 | 28.1355 | 34.511 | 34.5702 | 6.4385 |
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- | 0.809 | 6.0 | 36336 | 1.7787 | 34.0894 | 27.6763 | 34.0998 | 34.1103 | 6.6721 |
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- | 0.7897 | 7.0 | 42392 | 1.7404 | 33.8737 | 27.6484 | 33.8941 | 33.9224 | 6.5274 |
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- | 0.7302 | 8.0 | 48448 | 1.7334 | 33.7942 | 27.6188 | 33.8028 | 33.8252 | 6.4447 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.6665
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+ - Rouge1: 34.5267
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+ - Rouge2: 28.0947
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+ - Rougel: 34.5277
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+ - Rougelsum: 34.5954
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  - Gen Len: 6.4385
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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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+ | 1.1889 | 1.0 | 6056 | 1.7462 | 34.927 | 28.162 | 34.9525 | 35.0176 | 7.2062 |
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+ | 1.0076 | 2.0 | 12112 | 1.7262 | 34.3953 | 27.6704 | 34.393 | 34.4491 | 6.8452 |
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+ | 0.9798 | 3.0 | 18168 | 1.6861 | 34.5625 | 28.0528 | 34.5541 | 34.6322 | 6.6332 |
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+ | 0.9324 | 4.0 | 24224 | 1.7051 | 34.2389 | 27.9601 | 34.2154 | 34.3167 | 6.8740 |
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+ | 0.8892 | 5.0 | 30280 | 1.6665 | 34.5267 | 28.0947 | 34.5277 | 34.5954 | 6.4385 |
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+ | 0.809 | 6.0 | 36336 | 1.7787 | 34.0937 | 27.661 | 34.0887 | 34.1515 | 6.6721 |
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+ | 0.7897 | 7.0 | 42392 | 1.7404 | 33.9073 | 27.6347 | 33.9084 | 33.9455 | 6.5274 |
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+ | 0.7302 | 8.0 | 48448 | 1.7334 | 33.8327 | 27.5953 | 33.836 | 33.8535 | 6.4447 |
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  ### Framework versions
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