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--- |
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license: apache-2.0 |
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base_model: t5-small |
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tags: |
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- summarization |
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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-destination-inference |
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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-small-destination-inference |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6668 |
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- Rouge1: 25.6235 |
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- Rouge2: 0.0 |
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- Rougel: 25.6064 |
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- Rougelsum: 25.6064 |
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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: 5.6e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:| |
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| 2.6932 | 1.0 | 2927 | 2.0668 | 19.9009 | 0.0 | 19.9009 | 19.8838 | |
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| 2.1793 | 2.0 | 5854 | 1.8923 | 22.2668 | 0.0 | 22.2583 | 22.2412 | |
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| 2.0209 | 3.0 | 8781 | 1.8088 | 23.1807 | 0.0 | 23.1893 | 23.1978 | |
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| 1.9254 | 4.0 | 11708 | 1.7439 | 24.5815 | 0.0 | 24.5815 | 24.5815 | |
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| 1.8585 | 5.0 | 14635 | 1.7105 | 24.7865 | 0.0 | 24.7865 | 24.7865 | |
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| 1.814 | 6.0 | 17562 | 1.6863 | 25.2989 | 0.0 | 25.316 | 25.2989 | |
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| 1.781 | 7.0 | 20489 | 1.6730 | 25.3844 | 0.0 | 25.3844 | 25.3502 | |
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| 1.7679 | 8.0 | 23416 | 1.6668 | 25.6235 | 0.0 | 25.6064 | 25.6064 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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