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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: koja_mbartLarge_55p_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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# koja_mbartLarge_55p_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: 0.9008 |
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- Bleu: 8.9861 |
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- Gen Len: 17.9149 |
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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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| 1.0254 | 0.48 | 8000 | 1.0065 | 7.1252 | 18.5403 | |
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| 0.9374 | 0.97 | 16000 | 0.9200 | 8.2047 | 18.2091 | |
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| 0.7429 | 1.45 | 24000 | 0.9086 | 8.4622 | 17.9606 | |
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| 0.7039 | 1.93 | 32000 | 0.9008 | 8.9198 | 17.8841 | |
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| 0.5616 | 2.42 | 40000 | 0.9210 | 8.7938 | 17.78 | |
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| 0.5355 | 2.9 | 48000 | 0.9400 | 8.6506 | 17.9146 | |
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| 0.4194 | 3.38 | 56000 | 1.0054 | 8.4235 | 17.6759 | |
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| 0.3852 | 3.86 | 64000 | 1.0154 | 8.5886 | 17.7885 | |
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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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