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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-new |
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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-new |
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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: 2.7673 |
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- Rouge1: 9.1368 |
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- Rouge2: 2.3893 |
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- Rougel: 7.6599 |
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- Rougelsum: 7.6873 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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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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| 3.7827 | 1.0 | 1687 | 2.8911 | 8.1314 | 1.9569 | 6.7927 | 6.8179 | |
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| 3.6518 | 2.0 | 3374 | 2.8338 | 8.6621 | 2.1437 | 7.2171 | 7.246 | |
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| 3.3691 | 3.0 | 5061 | 2.8015 | 8.9402 | 2.2733 | 7.4744 | 7.497 | |
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| 3.4435 | 4.0 | 6748 | 2.7746 | 9.0514 | 2.3627 | 7.6144 | 7.6358 | |
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| 3.5139 | 5.0 | 8435 | 2.7673 | 9.1368 | 2.3893 | 7.6599 | 7.6873 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.12.1 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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