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README.md CHANGED
@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9393
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- - Rouge1: 0.5251
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- - Rouge2: 0.4185
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- - Rougel: 0.4987
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- - Rougelsum: 0.4987
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- - Gen Len: 19.6969
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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 | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | 1.1485 | 1.0 | 15881 | 1.0192 | 0.5167 | 0.4071 | 0.4899 | 0.49 | 19.7533 |
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- | 1.0839 | 2.0 | 31762 | 0.9754 | 0.5185 | 0.4101 | 0.4918 | 0.4919 | 19.7608 |
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- | 1.0474 | 3.0 | 47643 | 0.9542 | 0.5228 | 0.4151 | 0.4961 | 0.4961 | 19.7375 |
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- | 1.0541 | 4.0 | 63524 | 0.9428 | 0.5247 | 0.4177 | 0.4981 | 0.4982 | 19.7032 |
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- | 1.0252 | 5.0 | 79405 | 0.9393 | 0.5251 | 0.4185 | 0.4987 | 0.4987 | 19.6969 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9419
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+ - Rouge1: 0.5247
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+ - Rouge2: 0.4182
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+ - Rougel: 0.4983
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+ - Rougelsum: 0.4983
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+ - Gen Len: 19.714
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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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+ | 1.1552 | 1.0 | 15881 | 1.0253 | 0.5162 | 0.4064 | 0.4892 | 0.4892 | 19.7538 |
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+ | 1.0885 | 2.0 | 31762 | 0.9789 | 0.5182 | 0.4099 | 0.4919 | 0.4918 | 19.7598 |
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+ | 1.051 | 3.0 | 47643 | 0.9575 | 0.5211 | 0.4136 | 0.4948 | 0.4948 | 19.7535 |
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+ | 1.0578 | 4.0 | 63524 | 0.9457 | 0.5237 | 0.4168 | 0.4973 | 0.4973 | 19.7212 |
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+ | 1.0285 | 5.0 | 79405 | 0.9419 | 0.5247 | 0.4182 | 0.4983 | 0.4983 | 19.714 |
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  ### Framework versions
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