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update model card README.md

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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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- metrics:
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- - rouge
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  model-index:
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  - name: t5-small-finetuned-keyword-to-text-generation
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  results: []
@@ -15,13 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # t5-small-finetuned-keyword-to-text-generation
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  This model is a fine-tuned version of [caffsean/t5-small-finetuned-keyword-to-text-generation](https://huggingface.co/caffsean/t5-small-finetuned-keyword-to-text-generation) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 3.8811
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- - Rouge1: 1.8287
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- - Rouge2: 0.2753
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- - Rougel: 1.6368
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- - Rougelsum: 1.6386
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- - Gen Len: 16.109
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 4
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 188 | 3.9087 | 1.8027 | 0.2811 | 1.6287 | 1.6317 | 15.993 |
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- | No log | 2.0 | 376 | 3.8918 | 1.8149 | 0.2775 | 1.6306 | 1.6317 | 16.052 |
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- | 4.078 | 3.0 | 564 | 3.8835 | 1.8191 | 0.2754 | 1.6306 | 1.6322 | 16.105 |
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- | 4.078 | 4.0 | 752 | 3.8811 | 1.8287 | 0.2753 | 1.6368 | 1.6386 | 16.109 |
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  ### Framework versions
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: t5-small-finetuned-keyword-to-text-generation
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  results: []
 
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  # t5-small-finetuned-keyword-to-text-generation
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  This model is a fine-tuned version of [caffsean/t5-small-finetuned-keyword-to-text-generation](https://huggingface.co/caffsean/t5-small-finetuned-keyword-to-text-generation) on an unknown dataset.
 
 
 
 
 
 
 
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 1
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 188 | 3.8742 | 0.5567 | 0.0851 | 0.4968 | 0.4972 | 16.243 |
 
 
 
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  ### Framework versions