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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: []
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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:
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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.
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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
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