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--- |
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language: |
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- ko |
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- ja |
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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: mbartLarge_koja_mid2_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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# mbartLarge_koja_mid2_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: 1.1251 |
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- Bleu: 30.7351 |
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- Gen Len: 18.1559 |
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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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- 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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| 1.1823 | 1.0 | 11354 | 1.1695 | 29.4501 | 18.8118 | |
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| 0.9207 | 2.0 | 22708 | 1.1251 | 30.842 | 18.0892 | |
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| 0.7127 | 3.0 | 34062 | 1.1687 | 31.2642 | 18.1188 | |
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| 0.5406 | 4.0 | 45416 | 1.2619 | 30.9531 | 17.9958 | |
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| 0.4027 | 5.0 | 56770 | 1.3789 | 30.7923 | 18.0582 | |
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| 0.286 | 6.0 | 68124 | 1.4784 | 30.9393 | 18.1183 | |
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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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