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--- |
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language: |
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- en |
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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: enko_mbartLarge_36p_exp1 |
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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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# enko_mbartLarge_36p_exp1 |
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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: 1.2181 |
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- Bleu: 15.4063 |
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- Gen Len: 14.7808 |
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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: 500 |
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- num_epochs: 15 |
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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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| 1.4235 | 0.46 | 5000 | 1.3893 | 12.3168 | 14.6634 | |
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| 1.3281 | 0.93 | 10000 | 1.2917 | 14.3522 | 14.9186 | |
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| 1.2506 | 1.39 | 15000 | 1.2669 | 14.3525 | 14.9494 | |
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| 1.1603 | 1.86 | 20000 | 1.2283 | 15.248 | 15.0062 | |
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| 1.0765 | 2.32 | 25000 | 1.2181 | 15.4063 | 14.7808 | |
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| 1.1019 | 2.79 | 30000 | 1.2753 | 14.3608 | 14.9014 | |
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| 1.0504 | 3.25 | 35000 | 1.2334 | 15.3253 | 14.7948 | |
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| 0.9431 | 3.72 | 40000 | 1.2512 | 15.2534 | 14.7293 | |
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| 0.8394 | 4.18 | 45000 | 1.2971 | 14.9999 | 14.7993 | |
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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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