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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/mt5-small |
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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: mt5-small-finetuned-amazon-en-es |
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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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# mt5-small-finetuned-amazon-en-es |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0627 |
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- Rouge1: 16.0196 |
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- Rouge2: 8.1799 |
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- Rougel: 15.706 |
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- Rougelsum: 15.665 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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 | Rougelsum | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:| |
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| 5.2215 | 1.0 | 3183 | 3.2285 | 15.3571 | 7.5876 | 14.8818 | 14.921 | |
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| 3.5658 | 2.0 | 6366 | 3.1463 | 15.6259 | 7.5423 | 15.066 | 15.0553 | |
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| 3.337 | 3.0 | 9549 | 3.0946 | 15.952 | 7.9278 | 15.522 | 15.5298 | |
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| 3.2058 | 4.0 | 12732 | 3.0638 | 14.9256 | 6.9173 | 14.6062 | 14.5762 | |
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| 3.1088 | 5.0 | 15915 | 3.0617 | 15.7701 | 7.7605 | 15.3497 | 15.4116 | |
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| 3.0411 | 6.0 | 19098 | 3.0561 | 15.5238 | 7.749 | 15.0419 | 15.1077 | |
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| 3.0102 | 7.0 | 22281 | 3.0544 | 15.4735 | 7.2486 | 15.0972 | 15.1334 | |
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| 2.9787 | 8.0 | 25464 | 3.0627 | 16.0196 | 8.1799 | 15.706 | 15.665 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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