ajscalers
/

t5-small-finetuned-xsum

Text2Text Generation

Generated from Trainer

text-generation-inference

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

ajscalers commited on Apr 28, 2023

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update model card README.md

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@@ -46,12 +46,12 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| No log        | 1.0   | 304  | 2.6701          | 23.8174 | 5.0625 | 18.3813 | 18.3799   | 18.7324 |
 ### Framework versions
 - Transformers 4.28.1
-- Pytorch 2.0.0+cu118
 - Datasets 2.11.0
 - Tokenizers 0.13.3

 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 304  | 2.6700          | 23.8246 | 5.0767 | 18.3877 | 18.3892   | 18.731  |
 ### Framework versions
 - Transformers 4.28.1
+- Pytorch 2.0.0+cu117
 - Datasets 2.11.0
 - Tokenizers 0.13.3