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--- |
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tags: |
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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: mbart-large-50-many-to-many-mmt-finetuned-test2 |
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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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# mbart-large-50-many-to-many-mmt-finetuned-test2 |
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This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9283 |
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- Rouge1: 28.015 |
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- Rouge2: 11.5757 |
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- Rougel: 23.4706 |
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- Rougelsum: 27.303 |
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- Gen Len: 48.8231 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: 4 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 2.1456 | 1.0 | 2130 | 2.0695 | 24.7024 | 9.6769 | 20.91 | 24.0793 | 45.739 | |
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| 1.8957 | 2.0 | 4261 | 1.9656 | 25.8455 | 10.4715 | 21.9971 | 25.1654 | 50.9408 | |
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| 1.7359 | 3.0 | 6391 | 1.9281 | 26.9356 | 11.0235 | 22.709 | 26.197 | 51.5054 | |
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| 1.6207 | 4.0 | 8520 | 1.9283 | 28.015 | 11.5757 | 23.4706 | 27.303 | 48.8231 | |
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### Framework versions |
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- Transformers 4.27.2 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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