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language: |
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- en |
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- ko |
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base_model: facebook/mbart-large-50-many-to-many-mmt |
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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: enko_mbartLarge_36p_tokenize_run1 |
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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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# enko_mbartLarge_36p_tokenize_run1 |
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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: 1.1249 |
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- Bleu: 38.8566 |
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- Gen Len: 16.4716 |
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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: 5e-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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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- total_eval_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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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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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| 1.3157 | 0.46 | 5000 | 1.2895 | 34.4176 | 16.4931 | |
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| 1.2575 | 0.93 | 10000 | 1.2279 | 35.0029 | 16.8009 | |
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| 1.1578 | 1.39 | 15000 | 1.1733 | 36.9282 | 16.5838 | |
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| 1.0885 | 1.86 | 20000 | 1.1464 | 37.6913 | 16.6649 | |
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| 1.0451 | 2.32 | 25000 | 1.1437 | 37.7875 | 16.5188 | |
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| 1.0465 | 2.79 | 30000 | 1.1425 | 37.895 | 16.4987 | |
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| 1.0156 | 3.25 | 35000 | 1.1464 | 37.8434 | 16.5515 | |
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| 0.9893 | 3.72 | 40000 | 1.1544 | 37.358 | 16.6096 | |
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| 0.8779 | 4.18 | 45000 | 1.1419 | 38.1772 | 16.457 | |
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| 0.8565 | 4.65 | 50000 | 1.1249 | 38.8455 | 16.4749 | |
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| 0.7293 | 5.11 | 55000 | 1.1566 | 38.4853 | 16.3462 | |
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| 0.7294 | 5.57 | 60000 | 1.1824 | 37.8822 | 16.3295 | |
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| 0.7254 | 6.04 | 65000 | 1.2153 | 37.3612 | 16.381 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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