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--- |
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license: apache-2.0 |
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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: flan-t5-small-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: test |
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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: 43.7829 |
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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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# flan-t5-small-samsum |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the samsum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6325 |
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- Rouge1: 43.7829 |
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- Rouge2: 19.4994 |
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- Rougel: 36.5484 |
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- Rougelsum: 39.9323 |
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- Gen Len: 16.8730 |
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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: 5 |
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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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| 1.8137 | 1.0 | 1842 | 1.6636 | 42.6155 | 18.9113 | 35.7997 | 39.046 | 16.7473 | |
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| 1.7502 | 2.0 | 3684 | 1.6408 | 43.3833 | 19.1709 | 36.0178 | 39.5973 | 16.8620 | |
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| 1.6864 | 3.0 | 5526 | 1.6372 | 43.31 | 19.2269 | 35.9239 | 39.6082 | 16.8559 | |
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| 1.6647 | 4.0 | 7368 | 1.6334 | 43.7043 | 19.462 | 36.4417 | 39.8969 | 16.9512 | |
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| 1.6391 | 5.0 | 9210 | 1.6325 | 43.7829 | 19.4994 | 36.5484 | 39.9323 | 16.8730 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 2.0.0 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.2 |
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