End of training
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README.md
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# opus-mt-en-ar-finetuned-en-to-ar
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 5.1877
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- eval_bleu: 6.5674
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- eval_gen_len: 33.5067
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- eval_runtime: 9.6644
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- eval_samples_per_second: 7.76
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- eval_steps_per_second: 0.517
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- epoch: 102.0
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- step: 4386
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## Model description
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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:
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.
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# opus-mt-en-ar-finetuned-en-to-ar
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on an unknown dataset.
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## Model description
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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: 10
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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pytorch_model.bin
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training_args.bin
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