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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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- news_commentary |
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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: news_commentary |
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type: news_commentary |
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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: 0.0756 |
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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 news_commentary dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2173 |
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- Bleu: 0.0756 |
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- Gen Len: 330.32 |
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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: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 3 |
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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 | 4 | 5.5459 | 0.1405 | 511.0 | |
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| No log | 2.0 | 8 | 3.8021 | 0.0206 | 511.0 | |
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| No log | 3.0 | 12 | 3.2173 | 0.0756 | 330.32 | |
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### Framework versions |
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- Transformers 4.19.4 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.3.0 |
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- Tokenizers 0.12.1 |
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