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@@ -18,10 +18,14 @@ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base)
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  It achieves the following results on the evaluation set:
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  - Loss: 1.2337
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- ## Training procedure
 
 
 
 
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  ### Training hyperparameters
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-
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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  - train_batch_size: 4
@@ -66,11 +70,3 @@ The following hyperparameters were used during training:
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  | 1.4272 | 9.06 | 2700 | 1.2386 |
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  | 1.4104 | 9.4 | 2800 | 1.2323 |
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  | 1.4179 | 9.73 | 2900 | 1.2337 |
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.21.0
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- - Pytorch 1.12.0+cu113
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- - Datasets 2.4.0
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- - Tokenizers 0.12.1
 
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  It achieves the following results on the evaluation set:
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  - Loss: 1.2337
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+ ### Framework versions
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+ - Transformers 4.21.0
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+ - Pytorch 1.12.0+cu113
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+ - Datasets 2.4.0
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+ - Tokenizers 0.12.1
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+ ## Training procedure
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  ### Training hyperparameters
 
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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  - train_batch_size: 4
 
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  | 1.4272 | 9.06 | 2700 | 1.2386 |
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  | 1.4104 | 9.4 | 2800 | 1.2323 |
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  | 1.4179 | 9.73 | 2900 | 1.2337 |