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@@ -7,6 +7,8 @@ metrics:
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  model-index:
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  - name: t5-base-DreamBank-Generation-Char
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  results: []
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,13 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # t5-base-DreamBank-Generation-Char
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- This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.3136
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- - Rouge1: 0.8455
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- - Rouge2: 0.7789
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- - Rougel: 0.8282
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- - Rougelsum: 0.8432
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  ## Model description
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@@ -69,4 +71,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.25.1
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  - Pytorch 1.12.1
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  - Datasets 2.5.1
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- - Tokenizers 0.12.1
 
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  model-index:
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  - name: t5-base-DreamBank-Generation-Char
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  results: []
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+ language:
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+ - en
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # t5-base-DreamBank-Generation-Char
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+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the DB emotion classification.
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+ It achieves the following results on the evaluation set (please note they refer to best uploaded model):
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+ - Loss: 0.3047
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+ - Rouge1: 0.8609
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+ - Rouge2: 0.7956
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+ - Rougel: 0.8476
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+ - Rougelsum: 0.8578
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  ## Model description
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  - Transformers 4.25.1
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  - Pytorch 1.12.1
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  - Datasets 2.5.1
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+ - Tokenizers 0.12.1