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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: t5-small-hardaDerailKP |
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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-hardaDerailKP |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1390 |
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- Rouge1: 51.5439 |
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- Rouge2: 41.2421 |
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- Rougel: 51.4764 |
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- Rougelsum: 51.5006 |
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- Gen Len: 6.3538 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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 | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 1.2197 | 1.0 | 6157 | 1.1987 | 51.2268 | 39.9596 | 51.1923 | 51.1914 | 6.7607 | |
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| 0.9954 | 2.0 | 12314 | 1.1706 | 50.8022 | 39.6403 | 50.7374 | 50.6872 | 6.3795 | |
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| 0.9489 | 3.0 | 18471 | 1.1442 | 52.3931 | 42.1802 | 52.3291 | 52.2775 | 6.3484 | |
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| 0.8887 | 4.0 | 24628 | 1.1390 | 51.5439 | 41.2421 | 51.4764 | 51.5006 | 6.3538 | |
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| 0.8414 | 5.0 | 30785 | 1.1799 | 51.9563 | 41.1814 | 51.8804 | 51.8698 | 6.7852 | |
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| 0.753 | 6.0 | 36942 | 1.1829 | 52.4688 | 41.3965 | 52.3511 | 52.3868 | 6.6134 | |
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| 0.7471 | 7.0 | 43099 | 1.1995 | 51.3549 | 40.6927 | 51.2323 | 51.2653 | 6.6271 | |
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| 0.7327 | 8.0 | 49256 | 1.2001 | 51.5724 | 40.8948 | 51.4687 | 51.4899 | 6.6366 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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