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README.md
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---
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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-base-finetuned-keyword-to-text-generation
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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
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should probably proofread and complete it, then remove this comment. -->
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# t5-base-finetuned-keyword-to-text-generation
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4301
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- Rouge1: 2.0305
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- Rouge2: 0.2821
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- Rougel: 1.6795
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- Rougelsum: 1.6819
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- Gen Len: 16.7425
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 8
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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 | 375 | 3.5065 | 1.9596 | 0.2776 | 1.6885 | 1.6903 | 17.229 |
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| 3.7896 | 2.0 | 750 | 3.4689 | 1.9941 | 0.2702 | 1.6672 | 1.6681 | 17.12 |
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| 3.6241 | 3.0 | 1125 | 3.4516 | 2.0361 | 0.2818 | 1.6907 | 1.6916 | 17.0225 |
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| 3.5681 | 4.0 | 1500 | 3.4434 | 2.0136 | 0.2802 | 1.6827 | 1.6844 | 16.9145 |
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| 3.5681 | 5.0 | 1875 | 3.4367 | 2.0343 | 0.2876 | 1.6838 | 1.6866 | 16.79 |
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| 3.5323 | 6.0 | 2250 | 3.4332 | 2.0325 | 0.283 | 1.6807 | 1.6827 | 16.6645 |
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| 3.5153 | 7.0 | 2625 | 3.4303 | 2.0313 | 0.2832 | 1.6822 | 1.6844 | 16.752 |
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| 3.4866 | 8.0 | 3000 | 3.4301 | 2.0305 | 0.2821 | 1.6795 | 1.6819 | 16.7425 |
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### Framework versions
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- Transformers 4.21.2
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- Pytorch 1.12.1+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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