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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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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: pargraphs_titlesV1.0 |
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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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# pargraphs_titlesV1.0 |
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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: 0.2697 |
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- Rouge1: 68.705 |
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- Rouge2: 54.5204 |
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- Rougel: 67.7709 |
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- Rougelsum: 67.7942 |
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- Gen Len: 1401169535.5 |
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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: 4e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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: 5 |
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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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| 0.347 | 0.44 | 100 | 0.2634 | 65.1158 | 48.282 | 63.708 | 63.7424 | 1401169536.0 | |
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| 0.2412 | 0.88 | 200 | 0.3167 | 66.0958 | 50.4705 | 65.1041 | 65.1412 | 1401169536.0 | |
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| 0.2069 | 1.32 | 300 | 0.2357 | 68.6707 | 53.5945 | 67.3654 | 67.371 | 1401169536.0 | |
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| 0.1825 | 1.76 | 400 | 0.3932 | 65.7022 | 51.08 | 64.9927 | 65.0322 | 1401169536.0 | |
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| 0.1643 | 2.2 | 500 | 0.2223 | 69.132 | 54.5176 | 67.881 | 67.8987 | 1401169535.0 | |
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| 0.1715 | 2.64 | 600 | 0.2227 | 69.2258 | 54.2845 | 68.0181 | 68.0404 | 1401169535.5 | |
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| 0.1571 | 3.08 | 700 | 0.2707 | 68.9908 | 54.7777 | 68.1279 | 68.151 | 1401169536.0 | |
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| 0.1584 | 3.52 | 800 | 0.2193 | 70.9126 | 56.4866 | 69.6718 | 69.6687 | 1401169535.5 | |
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| 0.1565 | 3.96 | 900 | 0.3482 | 68.6691 | 54.8446 | 67.796 | 67.8541 | 1401169536.0 | |
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| 0.155 | 4.4 | 1000 | 0.2694 | 69.1457 | 55.1123 | 68.2207 | 68.2543 | 1401169536.0 | |
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| 0.1586 | 4.84 | 1100 | 0.2697 | 68.705 | 54.5204 | 67.7709 | 67.7942 | 1401169535.5 | |
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### Framework versions |
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- Transformers 4.36.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.0 |
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