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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: ./reduced_model |
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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: tst-translation-output |
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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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# tst-translation-output |
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This model is a fine-tuned version of [mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on an custom dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.3552 |
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- Bleu: 19.2576 |
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- Gen Len: 17.7448 |
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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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- total_train_batch_size: 16 |
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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: 50 |
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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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| 2.7876 | 10.31 | 1000 | 4.2606 | 15.7275 | 15.5938 | |
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| 0.1404 | 20.62 | 2000 | 4.2496 | 16.6706 | 17.4375 | |
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| 0.0398 | 30.93 | 3000 | 4.3486 | 19.2786 | 17.8385 | |
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| 0.0107 | 41.24 | 4000 | 4.3411 | 21.5085 | 17.2917 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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