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--- |
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license: apache-2.0 |
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tags: |
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- multilingual model |
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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-multilingual-xlsum |
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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-multilingual-xlsum |
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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: 2.7979 |
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- Rouge1: 9.2017 |
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- Rouge2: 2.3976 |
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- Rougel: 7.7055 |
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- Rougelsum: 7.7347 |
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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: 5 |
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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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| 4.4524 | 1.0 | 3375 | 2.9251 | 8.1565 | 1.9058 | 6.7949 | 6.8196 | |
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| 3.6707 | 2.0 | 6750 | 2.8524 | 8.7884 | 2.147 | 7.339 | 7.3678 | |
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| 3.5273 | 3.0 | 10125 | 2.8184 | 9.1157 | 2.3886 | 7.6228 | 7.6592 | |
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| 3.4452 | 4.0 | 13500 | 2.8028 | 9.2619 | 2.406 | 7.7607 | 7.7921 | |
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| 3.4074 | 5.0 | 16875 | 2.7979 | 9.2017 | 2.3976 | 7.7055 | 7.7347 | |
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### Framework versions |
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- Transformers 4.19.1 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.1 |
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- Tokenizers 0.12.1 |
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