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--- |
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license: apache-2.0 |
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base_model: t5-base |
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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-base-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-base-destination-inference |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1325 |
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- Rouge1: 21.8 |
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- Rouge2: 0.0 |
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- Rougel: 21.8 |
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- Rougelsum: 21.8 |
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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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| 3.4532 | 1.0 | 250 | 1.8246 | 1.4 | 0.0 | 1.4 | 1.4 | |
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| 2.2781 | 2.0 | 500 | 1.5979 | 4.2 | 0.0 | 4.2 | 4.2 | |
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| 2.0678 | 3.0 | 750 | 1.4511 | 11.6 | 0.0 | 11.5 | 11.6 | |
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| 1.9165 | 4.0 | 1000 | 1.3417 | 14.8 | 0.0 | 14.8 | 14.8 | |
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| 1.7977 | 5.0 | 1250 | 1.2545 | 16.4 | 0.0 | 16.4 | 16.4 | |
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| 1.7429 | 6.0 | 1500 | 1.1880 | 20.8 | 0.0 | 20.8 | 20.8 | |
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| 1.6793 | 7.0 | 1750 | 1.1493 | 21.8 | 0.0 | 21.8 | 21.8 | |
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| 1.624 | 8.0 | 2000 | 1.1325 | 21.8 | 0.0 | 21.8 | 21.8 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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