update model card README.md
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README.md
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tags:
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- translation
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- generated_from_trainer
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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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# 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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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 8
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### Framework versions
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- Transformers 4.16.2
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tags:
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- translation
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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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# 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: 3.0255
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- Rouge1: 17.5202
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- Rouge2: 8.4634
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- Rougel: 17.0175
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- Rougelsum: 17.0528
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## Model description
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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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| 8.094 | 1.0 | 1209 | 3.2933 | 12.7563 | 5.2606 | 12.4786 | 12.4961 |
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| 3.9263 | 2.0 | 2418 | 3.1487 | 16.2314 | 8.4716 | 15.6854 | 15.7506 |
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| 3.599 | 3.0 | 3627 | 3.0789 | 16.9233 | 8.1928 | 16.2596 | 16.2522 |
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| 3.429 | 4.0 | 4836 | 3.0492 | 17.2679 | 8.7561 | 16.6685 | 16.7399 |
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| 3.3279 | 5.0 | 6045 | 3.0384 | 17.6081 | 8.6721 | 17.0546 | 17.0368 |
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| 3.2518 | 6.0 | 7254 | 3.0343 | 17.2271 | 8.504 | 16.6285 | 16.6209 |
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| 3.2084 | 7.0 | 8463 | 3.0255 | 16.7859 | 8.054 | 16.2574 | 16.2853 |
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| 3.1839 | 8.0 | 9672 | 3.0255 | 17.5202 | 8.4634 | 17.0175 | 17.0528 |
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### Framework versions
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- Transformers 4.16.2
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