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--- |
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language: |
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- ko |
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- en |
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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: mbart_cycle0_ko-en |
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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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# mbart_cycle0_ko-en |
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This model is a fine-tuned version of reduced 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: 8.0362 |
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- Bleu: 3.9193 |
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- Gen Len: 19.5758 |
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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: 300 |
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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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| 8.5105 | 10.0 | 500 | 5.7366 | 1.0483 | 32.2222 | |
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| 1.3079 | 20.0 | 1000 | 7.1497 | 3.8281 | 17.3838 | |
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| 0.179 | 30.0 | 1500 | 7.7171 | 4.1437 | 18.6869 | |
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| 0.0535 | 40.0 | 2000 | 7.9881 | 4.1251 | 18.5455 | |
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| 0.0203 | 50.0 | 2500 | 8.0362 | 3.9193 | 19.5758 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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