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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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- bleu |
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model-index: |
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- name: mbart-large-cc25-finetuned-hi-to-en-v2 |
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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-cc25-finetuned-hi-to-en-v2 |
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This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8027 |
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- Bleu: 33.4814 |
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- Gen Len: 21.8974 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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: 10 |
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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 | Bleu | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
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| 1.8971 | 1.0 | 3955 | 1.6015 | 19.3557 | 43.7594 | |
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| 1.3266 | 2.0 | 7910 | 1.4917 | 19.1404 | 35.3155 | |
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| 0.9906 | 3.0 | 11865 | 1.5354 | 26.999 | 26.7497 | |
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| 0.6987 | 4.0 | 15820 | 1.6457 | 31.9572 | 23.4565 | |
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| 0.5073 | 5.0 | 19775 | 1.8544 | 34.1169 | 22.1507 | |
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| 0.3554 | 6.0 | 23730 | 2.0985 | 34.0746 | 22.2396 | |
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| 0.2423 | 7.0 | 27685 | 2.2534 | 33.2205 | 22.2184 | |
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| 0.1918 | 8.0 | 31640 | 2.4014 | 32.2001 | 22.635 | |
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| 0.1423 | 9.0 | 35595 | 2.5067 | 32.4074 | 22.8716 | |
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| 0.1105 | 10.0 | 39550 | 2.5618 | 33.1965 | 22.5905 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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