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--- |
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license: cc-by-nc-sa-4.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- opus_infopankki |
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metrics: |
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- bleu |
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model-index: |
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- name: mt5-small-parsinlu-opus-translation_fa_en-finetuned-fa-to-en |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: opus_infopankki |
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type: opus_infopankki |
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args: en-fa |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 9.5106 |
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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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# mt5-small-parsinlu-opus-translation_fa_en-finetuned-fa-to-en |
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This model is a fine-tuned version of [persiannlp/mt5-small-parsinlu-opus-translation_fa_en](https://huggingface.co/persiannlp/mt5-small-parsinlu-opus-translation_fa_en) on the opus_infopankki dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5449 |
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- Bleu: 9.5106 |
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- Gen Len: 13.6434 |
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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-06 |
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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: linear |
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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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| No log | 1.0 | 151 | 3.1656 | 7.194 | 14.1885 | |
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| No log | 2.0 | 302 | 3.0419 | 7.7031 | 14.1005 | |
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| No log | 3.0 | 453 | 2.9549 | 8.1502 | 13.9834 | |
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| 3.5336 | 4.0 | 604 | 2.8857 | 8.4488 | 13.9251 | |
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| 3.5336 | 5.0 | 755 | 2.8297 | 8.6606 | 13.786 | |
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| 3.5336 | 6.0 | 906 | 2.7808 | 8.8217 | 13.7983 | |
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| 3.2511 | 7.0 | 1057 | 2.7386 | 8.9221 | 13.7518 | |
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| 3.2511 | 8.0 | 1208 | 2.7006 | 9.1988 | 13.7159 | |
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| 3.2511 | 9.0 | 1359 | 2.6678 | 9.2751 | 13.676 | |
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| 3.1055 | 10.0 | 1510 | 2.6387 | 9.4142 | 13.6648 | |
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| 3.1055 | 11.0 | 1661 | 2.6154 | 9.5726 | 13.6841 | |
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| 3.1055 | 12.0 | 1812 | 2.5945 | 9.6571 | 13.6546 | |
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| 3.1055 | 13.0 | 1963 | 2.5813 | 9.8303 | 13.6571 | |
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| 3.0199 | 14.0 | 2114 | 2.5709 | 9.6726 | 13.5855 | |
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| 3.0199 | 15.0 | 2265 | 2.5619 | 9.632 | 13.6125 | |
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| 3.0199 | 16.0 | 2416 | 2.5563 | 9.5773 | 13.6256 | |
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| 2.9862 | 17.0 | 2567 | 2.5538 | 9.5425 | 13.6366 | |
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| 2.9862 | 18.0 | 2718 | 2.5515 | 9.5359 | 13.6326 | |
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| 2.9862 | 19.0 | 2869 | 2.5495 | 9.5544 | 13.642 | |
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| 2.9859 | 20.0 | 3020 | 2.5478 | 9.5183 | 13.6374 | |
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| 2.9859 | 21.0 | 3171 | 2.5466 | 9.5387 | 13.632 | |
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| 2.9859 | 22.0 | 3322 | 2.5458 | 9.5183 | 13.6355 | |
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| 2.9859 | 23.0 | 3473 | 2.5451 | 9.5019 | 13.6376 | |
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| 2.9731 | 24.0 | 3624 | 2.5449 | 9.5004 | 13.6405 | |
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| 2.9731 | 25.0 | 3775 | 2.5449 | 9.5106 | 13.6434 | |
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| 2.9731 | 26.0 | 3926 | 2.5449 | 9.5106 | 13.6434 | |
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| 2.9671 | 27.0 | 4077 | 2.5449 | 9.5106 | 13.6434 | |
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| 2.9671 | 28.0 | 4228 | 2.5449 | 9.5106 | 13.6434 | |
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| 2.9671 | 29.0 | 4379 | 2.5449 | 9.5106 | 13.6434 | |
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| 2.97 | 30.0 | 4530 | 2.5449 | 9.5106 | 13.6434 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.7.1+cu110 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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