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--- |
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license: mit |
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base_model: cointegrated/rut5-base-absum |
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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: flux-dsum |
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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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# flux-dsum |
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This model is a fine-tuned version of [cointegrated/rut5-base-absum](https://huggingface.co/cointegrated/rut5-base-absum) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3535 |
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- Rouge1: 0.3631 |
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- Rouge2: 0.1695 |
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- Rougel: 0.325 |
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- Rougelsum: 0.3251 |
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- Gen Len: 18.2008 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 4 |
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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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| 1.7402 | 1.0 | 21753 | 1.4456 | 0.3492 | 0.1601 | 0.3112 | 0.3114 | 18.0104 | |
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| 1.59 | 2.0 | 43506 | 1.3912 | 0.3569 | 0.1616 | 0.3186 | 0.3187 | 18.1955 | |
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| 1.5522 | 3.0 | 65259 | 1.3675 | 0.3607 | 0.1682 | 0.3231 | 0.3233 | 18.1123 | |
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| 1.5162 | 4.0 | 87012 | 1.3535 | 0.3631 | 0.1695 | 0.325 | 0.3251 | 18.2008 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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