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--- |
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library_name: transformers |
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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-fr |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0056 |
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- Rouge1: 16.1556 |
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- Rouge2: 8.8085 |
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- Rougel: 15.8019 |
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- Rougelsum: 15.7787 |
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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_fused 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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| 6.9474 | 1.0 | 1399 | 3.3187 | 11.4251 | 4.57 | 10.9308 | 10.7649 | |
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| 3.892 | 2.0 | 2798 | 3.1469 | 13.4445 | 6.2409 | 13.013 | 12.9006 | |
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| 3.5863 | 3.0 | 4197 | 3.0734 | 15.1812 | 8.3203 | 14.7922 | 14.7632 | |
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| 3.4229 | 4.0 | 5596 | 3.0587 | 16.1014 | 8.4524 | 15.8047 | 15.7134 | |
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| 3.326 | 5.0 | 6995 | 3.0234 | 17.153 | 9.3495 | 16.6487 | 16.564 | |
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| 3.2622 | 6.0 | 8394 | 3.0144 | 15.5588 | 8.1691 | 15.275 | 15.2065 | |
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| 3.2163 | 7.0 | 9793 | 3.0139 | 15.8487 | 8.6641 | 15.548 | 15.511 | |
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| 3.1948 | 8.0 | 11192 | 3.0056 | 16.1556 | 8.8085 | 15.8019 | 15.7787 | |
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### Framework versions |
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- Transformers 4.55.4 |
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- Pytorch 2.8.0+cu128 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
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