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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-tag-generation-recipes |
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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-tag-generation-recipes |
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This model is a fine-tuned version of [fabiochiu/t5-base-tag-generation](https://huggingface.co/fabiochiu/t5-base-tag-generation) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6106 |
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- Rouge1: 76.7317 |
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- Rouge2: 59.2273 |
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- Rougel: 74.3318 |
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- Rougelsum: 74.2181 |
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- Gen Len: 15.93 |
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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: 2 |
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- eval_batch_size: 2 |
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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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| 1.2596 | 1.0 | 950 | 0.7129 | 75.4613 | 57.2255 | 70.7783 | 70.8028 | 15.56 | |
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| 0.7531 | 2.0 | 1900 | 0.6407 | 75.7627 | 58.0085 | 72.5222 | 72.4208 | 15.71 | |
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| 0.673 | 3.0 | 2850 | 0.6158 | 76.7922 | 59.4197 | 73.5378 | 73.4624 | 15.71 | |
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| 0.6064 | 4.0 | 3800 | 0.6106 | 76.7317 | 59.2273 | 74.3318 | 74.2181 | 15.93 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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