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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-finetuned-xsum |
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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-finetuned-xsum |
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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: 2.0804 |
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- Rouge1: 21.7575 |
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- Rouge2: 8.5919 |
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- Rougel: 17.3288 |
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- Rougelsum: 20.4481 |
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- Gen Len: 18.8222 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 10 |
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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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| No log | 1.0 | 45 | 2.3869 | 21.4625 | 7.7924 | 16.4408 | 19.7799 | 18.7667 | |
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| No log | 2.0 | 90 | 2.3161 | 22.2793 | 8.0559 | 17.0177 | 20.6462 | 18.8444 | |
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| No log | 3.0 | 135 | 2.2576 | 21.9986 | 7.8751 | 16.7895 | 20.2286 | 18.6778 | |
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| No log | 4.0 | 180 | 2.2061 | 21.9707 | 8.2401 | 16.9102 | 20.2145 | 18.6333 | |
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| No log | 5.0 | 225 | 2.1667 | 22.1615 | 8.3056 | 17.0849 | 20.48 | 18.8222 | |
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| No log | 6.0 | 270 | 2.1350 | 21.942 | 8.5934 | 17.2273 | 20.4631 | 18.7444 | |
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| No log | 7.0 | 315 | 2.1102 | 21.8541 | 8.664 | 17.2851 | 20.4798 | 18.7444 | |
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| No log | 8.0 | 360 | 2.0939 | 21.967 | 8.675 | 17.4126 | 20.5475 | 18.8222 | |
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| No log | 9.0 | 405 | 2.0841 | 21.824 | 8.6682 | 17.3674 | 20.4822 | 18.8222 | |
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| No log | 10.0 | 450 | 2.0804 | 21.7575 | 8.5919 | 17.3288 | 20.4481 | 18.8222 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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