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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7922 |
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- Rouge1: 18.97 |
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- Rouge2: 7.0348 |
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- Rougel: 17.6971 |
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- Rougelsum: 17.882 |
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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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| 11.9457 | 1.0 | 151 | 4.4346 | 5.986 | 1.1429 | 5.9458 | 5.7994 | |
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| 5.4958 | 2.0 | 302 | 3.4869 | 7.1658 | 1.8822 | 7.2823 | 7.1334 | |
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| 4.4559 | 3.0 | 453 | 3.1252 | 8.5582 | 1.605 | 8.3697 | 8.302 | |
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| 4.0657 | 4.0 | 604 | 2.9205 | 10.6565 | 3.4667 | 10.4793 | 10.3928 | |
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| 3.828 | 5.0 | 755 | 2.8419 | 18.3545 | 6.8241 | 17.013 | 17.3331 | |
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| 3.6794 | 6.0 | 906 | 2.8178 | 18.6777 | 7.0318 | 17.2025 | 17.3807 | |
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| 3.6205 | 7.0 | 1057 | 2.7984 | 18.8984 | 7.0004 | 17.4826 | 17.7813 | |
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| 3.5711 | 8.0 | 1208 | 2.7922 | 18.97 | 7.0348 | 17.6971 | 17.882 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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