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update model card README.md
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README.md
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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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