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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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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: model |
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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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# model |
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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: 0.0530 |
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- Rouge1: 78.2421 |
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- Rouge2: 75.2403 |
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- Rougel: 78.1859 |
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- Rougelsum: 78.1938 |
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- Gen Len: 19.0 |
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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: 0.0005 |
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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: 3 |
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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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| 0.0717 | 0.25 | 1000 | 0.0637 | 78.0577 | 74.8304 | 78.018 | 78.0236 | 19.0 | |
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| 0.0659 | 0.5 | 2000 | 0.0598 | 78.1871 | 75.0081 | 78.134 | 78.1354 | 19.0 | |
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| 0.0624 | 0.75 | 3000 | 0.0576 | 77.9279 | 74.7627 | 77.868 | 77.88 | 19.0 | |
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| 0.0597 | 1.01 | 4000 | 0.0563 | 78.1154 | 75.0171 | 78.0426 | 78.0522 | 19.0 | |
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| 0.0565 | 1.26 | 5000 | 0.0556 | 78.1454 | 75.0883 | 78.0991 | 78.1097 | 19.0 | |
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| 0.0528 | 1.51 | 6000 | 0.0549 | 78.3856 | 75.379 | 78.318 | 78.3263 | 19.0 | |
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| 0.0563 | 1.76 | 7000 | 0.0541 | 78.2664 | 75.1877 | 78.1834 | 78.1963 | 19.0 | |
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| 0.0535 | 2.01 | 8000 | 0.0540 | 78.1601 | 75.1107 | 78.0957 | 78.1042 | 19.0 | |
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| 0.0507 | 2.26 | 9000 | 0.0537 | 78.2119 | 75.137 | 78.1504 | 78.16 | 19.0 | |
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| 0.0513 | 2.51 | 10000 | 0.0533 | 78.1715 | 75.1571 | 78.1235 | 78.1272 | 19.0 | |
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| 0.052 | 2.76 | 11000 | 0.0530 | 78.2421 | 75.2403 | 78.1859 | 78.1938 | 19.0 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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