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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: Af-En_update |
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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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# Af-En_update |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-af-en](https://huggingface.co/Helsinki-NLP/opus-mt-af-en) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7197 |
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- Bleu: 55.3346 |
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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: 16 |
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- eval_batch_size: 32 |
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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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| 1.3745 | 1.0 | 2553 | 1.7537 | 51.9270 | |
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| 1.0462 | 2.0 | 5106 | 1.6305 | 53.9359 | |
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| 0.896 | 3.0 | 7659 | 1.6216 | 54.3049 | |
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| 0.7824 | 4.0 | 10212 | 1.6108 | 54.9902 | |
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| 0.6974 | 5.0 | 12765 | 1.6183 | 55.0265 | |
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| 0.643 | 6.0 | 15318 | 1.6207 | 55.4137 | |
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| 0.5635 | 7.0 | 17871 | 1.6276 | 55.1335 | |
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| 0.5141 | 8.0 | 20424 | 1.6498 | 55.2215 | |
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| 0.4681 | 9.0 | 22977 | 1.6678 | 55.2000 | |
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| 0.4304 | 10.0 | 25530 | 1.6797 | 55.2748 | |
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| 0.425 | 11.0 | 28083 | 1.7004 | 55.0478 | |
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| 0.398 | 12.0 | 30636 | 1.7013 | 55.3591 | |
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| 0.3759 | 13.0 | 33189 | 1.7082 | 55.3225 | |
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| 0.3681 | 14.0 | 35742 | 1.7151 | 55.1793 | |
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| 0.3571 | 15.0 | 38295 | 1.7197 | 55.2729 | |
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### Framework versions |
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- Transformers 4.21.0 |
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- Pytorch 1.12.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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