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--- |
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license: apache-2.0 |
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base_model: google-t5/t5-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- samsum |
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metrics: |
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- rouge |
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model-index: |
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- name: t5-finetuned-summarization-samsum |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: samsum |
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type: samsum |
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config: samsum |
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split: validation |
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args: samsum |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 43.6894 |
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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-finetuned-summarization-samsum |
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the samsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6551 |
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- Rouge1: 43.6894 |
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- Rouge2: 21.0711 |
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- Rougel: 36.7865 |
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- Rougelsum: 40.2927 |
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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: 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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
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| 2.0612 | 1.0 | 1842 | 1.7709 | 40.7189 | 17.9391 | 34.0848 | 37.86 | |
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| 1.8988 | 2.0 | 3684 | 1.7278 | 41.1985 | 18.7817 | 34.8297 | 38.378 | |
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| 1.8283 | 3.0 | 5526 | 1.6946 | 42.5298 | 19.6906 | 35.7159 | 39.2425 | |
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| 1.7798 | 4.0 | 7368 | 1.6860 | 42.9966 | 20.7335 | 36.5141 | 39.7994 | |
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| 1.7418 | 5.0 | 9210 | 1.6677 | 42.8533 | 20.4738 | 36.1407 | 39.5548 | |
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| 1.7157 | 6.0 | 11052 | 1.6645 | 43.6738 | 21.055 | 36.8091 | 40.3053 | |
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| 1.6896 | 7.0 | 12894 | 1.6584 | 43.5629 | 20.8972 | 36.614 | 40.2316 | |
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| 1.6756 | 8.0 | 14736 | 1.6567 | 43.8709 | 21.4421 | 36.9208 | 40.5036 | |
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| 1.6624 | 9.0 | 16578 | 1.6568 | 43.6278 | 21.0048 | 36.668 | 40.2666 | |
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| 1.6558 | 10.0 | 18420 | 1.6551 | 43.6894 | 21.0711 | 36.7865 | 40.2927 | |
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### Framework versions |
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- Transformers 4.41.2 |
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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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