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--- |
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license: apache-2.0 |
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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: opus-mt-ar-en-finetuned-ar-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: ar-en |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 28.9919 |
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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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# opus-mt-ar-en-finetuned-ar-to-en |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on the opus_infopankki dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6629 |
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- Bleu: 28.9919 |
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- Gen Len: 15.6512 |
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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: 11 |
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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 | 159 | 2.1441 | 22.0728 | 16.5805 | |
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| No log | 2.0 | 318 | 2.0141 | 23.888 | 16.3754 | |
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| No log | 3.0 | 477 | 1.9228 | 25.2541 | 15.835 | |
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| 2.2356 | 4.0 | 636 | 1.8523 | 26.299 | 15.7874 | |
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| 2.2356 | 5.0 | 795 | 1.7971 | 26.8646 | 16.0247 | |
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| 2.2356 | 6.0 | 954 | 1.7536 | 27.2391 | 16.013 | |
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| 1.9609 | 7.0 | 1113 | 1.7200 | 27.7471 | 16.0237 | |
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| 1.9609 | 8.0 | 1272 | 1.6945 | 28.4924 | 15.6563 | |
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| 1.9609 | 9.0 | 1431 | 1.6771 | 28.8024 | 15.6445 | |
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| 1.8388 | 10.0 | 1590 | 1.6665 | 29.0016 | 15.6429 | |
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| 1.8388 | 11.0 | 1749 | 1.6629 | 28.9919 | 15.6512 | |
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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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