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--- |
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license: apache-2.0 |
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tags: |
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- translation |
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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: En-Nso_update3 |
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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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# En-Nso_update3 |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-nso](https://huggingface.co/Helsinki-NLP/opus-mt-en-nso) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4218 |
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- Bleu: 24.5765 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 64 |
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- seed: 42 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
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| 3.6568 | 1.0 | 867 | 3.0185 | 18.4004 | |
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| 2.7574 | 2.0 | 1734 | 2.7774 | 20.3167 | |
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| 2.4522 | 3.0 | 2601 | 2.6436 | 22.1868 | |
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| 2.3298 | 4.0 | 3468 | 2.5732 | 22.6221 | |
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| 2.1563 | 5.0 | 4335 | 2.5225 | 22.6937 | |
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| 2.0177 | 6.0 | 5202 | 2.4917 | 23.2204 | |
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| 1.9407 | 7.0 | 6069 | 2.4656 | 23.3616 | |
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| 1.8758 | 8.0 | 6936 | 2.4509 | 23.5496 | |
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| 1.8167 | 9.0 | 7803 | 2.4426 | 23.6263 | |
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| 1.7566 | 10.0 | 8670 | 2.4345 | 24.0730 | |
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| 1.7254 | 11.0 | 9537 | 2.4281 | 24.1627 | |
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| 1.7088 | 12.0 | 10404 | 2.4252 | 24.1109 | |
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| 1.6731 | 13.0 | 11271 | 2.4226 | 24.1018 | |
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| 1.6574 | 14.0 | 12138 | 2.4211 | 23.9186 | |
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| 1.6481 | 15.0 | 13005 | 2.4218 | 24.1323 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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