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language: |
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- ja |
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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: jako_13p_tokenie_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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# jako_13p_tokenie_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: 1.3560 |
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- Bleu: 50.2114 |
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- Gen Len: 18.2159 |
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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: 200 |
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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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| 1.2125 | 0.83 | 1600 | 1.1356 | 44.2732 | 18.9394 | |
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| 0.8519 | 1.66 | 3200 | 1.0618 | 47.1622 | 18.3936 | |
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| 0.6394 | 2.49 | 4800 | 1.0923 | 47.7818 | 18.3397 | |
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| 0.532 | 3.32 | 6400 | 1.1294 | 48.4283 | 18.3375 | |
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| 0.3543 | 4.15 | 8000 | 1.1765 | 47.7916 | 18.4422 | |
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| 0.2569 | 4.99 | 9600 | 1.2103 | 48.1268 | 18.5385 | |
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| 0.1732 | 5.82 | 11200 | 1.2549 | 48.9329 | 18.2085 | |
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| 0.1228 | 6.65 | 12800 | 1.3022 | 49.0248 | 18.2133 | |
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| 0.0937 | 7.48 | 14400 | 1.3179 | 49.3503 | 18.1673 | |
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| 0.0627 | 8.31 | 16000 | 1.3409 | 49.5551 | 18.2672 | |
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| 0.0558 | 9.14 | 17600 | 1.3545 | 49.7808 | 18.2815 | |
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| 0.0442 | 9.97 | 19200 | 1.3560 | 50.2114 | 18.2159 | |
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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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