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--- |
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license: apache-2.0 |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0295 |
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- Rouge1: 17.3239 |
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- Rouge2: 8.3252 |
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- Rougel: 16.9877 |
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- Rougelsum: 16.9491 |
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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: 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: 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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| 6.5794 | 1.0 | 1209 | 3.2991 | 14.2697 | 5.8959 | 13.9629 | 14.019 | |
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| 3.8873 | 2.0 | 2418 | 3.1327 | 16.4495 | 8.0475 | 16.0014 | 15.8747 | |
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| 3.5776 | 3.0 | 3627 | 3.0835 | 17.5812 | 8.9516 | 17.0727 | 17.0682 | |
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| 3.4167 | 4.0 | 4836 | 3.0604 | 16.8649 | 8.0349 | 16.3734 | 16.4011 | |
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| 3.3178 | 5.0 | 6045 | 3.0599 | 17.4474 | 8.2552 | 17.1422 | 17.1661 | |
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| 3.242 | 6.0 | 7254 | 3.0396 | 17.8629 | 8.9654 | 17.5915 | 17.5903 | |
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| 3.2067 | 7.0 | 8463 | 3.0341 | 17.6749 | 8.8579 | 17.3253 | 17.3087 | |
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| 3.179 | 8.0 | 9672 | 3.0295 | 17.3239 | 8.3252 | 16.9877 | 16.9491 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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