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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-v2-hausa-to-chinese |
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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-v2-hausa-to-chinese |
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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: 1.1509 |
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- Bleu: 30.0183 |
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- Gen Len: 6.4896 |
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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: 0.0006 |
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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: cosine |
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- lr_scheduler_warmup_steps: 3000 |
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- num_epochs: 15 |
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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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| 1.643 | 1.0 | 1103 | 1.1585 | 24.9091 | 6.7771 | |
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| 1.1913 | 2.0 | 2206 | 1.0817 | 24.5257 | 6.7541 | |
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| 1.0945 | 3.0 | 3309 | 1.0737 | 27.3158 | 6.4568 | |
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| 1.0113 | 4.0 | 4412 | 1.0400 | 27.6138 | 6.6673 | |
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| 0.9415 | 5.0 | 5515 | 1.0556 | 26.3585 | 6.335 | |
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| 0.8809 | 6.0 | 6618 | 1.0479 | 25.5111 | 6.4373 | |
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| 0.8281 | 7.0 | 7721 | 1.0496 | 26.9639 | 6.2402 | |
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| 0.7805 | 8.0 | 8824 | 1.0687 | 28.3541 | 6.4397 | |
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| 0.7351 | 9.0 | 9927 | 1.0859 | 28.7719 | 6.4876 | |
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| 0.6941 | 10.0 | 11030 | 1.1064 | 27.9477 | 6.2022 | |
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| 0.6621 | 11.0 | 12133 | 1.1114 | 29.7176 | 6.4492 | |
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| 0.6361 | 12.0 | 13236 | 1.1379 | 29.5086 | 6.4459 | |
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| 0.6165 | 13.0 | 14339 | 1.1407 | 29.7825 | 6.5262 | |
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| 0.6039 | 14.0 | 15442 | 1.1498 | 30.0064 | 6.4859 | |
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| 0.6002 | 15.0 | 16545 | 1.1509 | 30.0183 | 6.4896 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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