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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google-t5/t5-small |
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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: t5-small-finetuned-english-to-hausa |
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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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# t5-small-finetuned-english-to-hausa |
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7088 |
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- Bleu: 71.7187 |
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- Gen Len: 14.3652 |
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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: 0.0008 |
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- train_batch_size: 32 |
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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: cosine |
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- lr_scheduler_warmup_steps: 3000 |
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- num_epochs: 30 |
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- mixed_precision_training: Native AMP |
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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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| 3.1612 | 1.0 | 749 | 1.7523 | 32.7424 | 15.2302 | |
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| 1.5573 | 2.0 | 1498 | 1.0553 | 53.4401 | 14.5568 | |
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| 1.0462 | 3.0 | 2247 | 0.7899 | 60.8893 | 14.71 | |
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| 0.8071 | 4.0 | 2996 | 0.6780 | 64.3438 | 14.4066 | |
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| 0.6602 | 5.0 | 3745 | 0.6089 | 66.0887 | 14.127 | |
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| 0.5562 | 6.0 | 4494 | 0.5741 | 66.8902 | 14.1295 | |
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| 0.4872 | 7.0 | 5243 | 0.5497 | 68.4261 | 14.3395 | |
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| 0.4299 | 8.0 | 5992 | 0.5412 | 68.9385 | 14.3446 | |
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| 0.3872 | 9.0 | 6741 | 0.5377 | 69.5675 | 14.2603 | |
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| 0.3478 | 10.0 | 7490 | 0.5356 | 70.0045 | 14.3615 | |
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| 0.3147 | 11.0 | 8239 | 0.5312 | 70.1895 | 14.4524 | |
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| 0.2848 | 12.0 | 8988 | 0.5484 | 70.8151 | 14.366 | |
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| 0.2584 | 13.0 | 9737 | 0.5523 | 70.6127 | 14.2939 | |
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| 0.2342 | 14.0 | 10486 | 0.5642 | 70.7368 | 14.3301 | |
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| 0.2122 | 15.0 | 11235 | 0.5775 | 70.9399 | 14.3635 | |
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| 0.1928 | 16.0 | 11984 | 0.5935 | 71.2577 | 14.352 | |
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| 0.1757 | 17.0 | 12733 | 0.5964 | 71.2056 | 14.3929 | |
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| 0.1608 | 18.0 | 13482 | 0.6085 | 71.0265 | 14.3877 | |
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| 0.1475 | 19.0 | 14231 | 0.6219 | 71.5491 | 14.3812 | |
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| 0.1352 | 20.0 | 14980 | 0.6285 | 71.5971 | 14.3675 | |
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| 0.1237 | 21.0 | 15729 | 0.6468 | 71.4863 | 14.3782 | |
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| 0.1142 | 22.0 | 16478 | 0.6652 | 71.5849 | 14.3734 | |
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| 0.1082 | 23.0 | 17227 | 0.6733 | 71.6037 | 14.3298 | |
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| 0.0998 | 24.0 | 17976 | 0.6852 | 71.6926 | 14.4066 | |
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| 0.0962 | 25.0 | 18725 | 0.6899 | 71.7003 | 14.358 | |
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| 0.0915 | 26.0 | 19474 | 0.6994 | 71.6191 | 14.3702 | |
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| 0.0882 | 27.0 | 20223 | 0.7033 | 71.5731 | 14.3537 | |
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| 0.0857 | 28.0 | 20972 | 0.7084 | 71.6407 | 14.3618 | |
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| 0.0853 | 29.0 | 21721 | 0.7086 | 71.7115 | 14.3635 | |
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| 0.0847 | 30.0 | 22470 | 0.7088 | 71.7187 | 14.3652 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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