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--- |
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license: apache-2.0 |
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base_model: google-t5/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-finetuned-qmsum |
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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-finetuned-qmsum |
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This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1567 |
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- Rouge1: 28.3882 |
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- Rouge2: 8.4191 |
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- Rougel: 22.8604 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:| |
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| 3.5399 | 1.0 | 126 | 3.2929 | 27.9871 | 8.2442 | 23.2939 | |
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| 3.1401 | 2.0 | 252 | 3.2076 | 27.7588 | 7.6926 | 22.8498 | |
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| 2.9706 | 3.0 | 378 | 3.1678 | 28.9533 | 8.4516 | 23.4899 | |
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| 2.8244 | 4.0 | 504 | 3.1509 | 28.274 | 8.0721 | 22.897 | |
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| 2.7238 | 5.0 | 630 | 3.1472 | 27.9718 | 8.26 | 22.7717 | |
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| 2.6687 | 6.0 | 756 | 3.1513 | 28.3972 | 8.4436 | 22.9446 | |
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| 2.5844 | 7.0 | 882 | 3.1554 | 28.6233 | 8.5011 | 23.1638 | |
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| 2.5715 | 8.0 | 1008 | 3.1567 | 28.3882 | 8.4191 | 22.8604 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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