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FinalProject_1218_Helsinki-NLP/opus-mt-ko-en

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: Helsinki-NLP/opus-mt-ko-en
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+ tags:
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+ - translation
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+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: opus-mt-ko-en
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+ results: []
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+ ---
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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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+
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+ # opus-mt-ko-en
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ko-en](https://huggingface.co/Helsinki-NLP/opus-mt-ko-en) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7378
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+ - Bleu: 41.6212
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+ - Gen Len: 10.3771
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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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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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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+ | 0.8027 | 1.0 | 16549 | 0.8758 | 36.6942 | 10.397 |
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+ | 0.6598 | 2.0 | 33098 | 0.7735 | 40.1498 | 10.369 |
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+ | 0.6019 | 3.0 | 49647 | 0.7378 | 41.6212 | 10.3771 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
config.json ADDED
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+ {
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+ "_name_or_path": "Helsinki-NLP/opus-mt-ko-en",
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+ "MarianMTModel"
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+ ],
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+ "bad_words_ids": [
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+ ]
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+ "decoder_layerdrop": 0.0,
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+ "transformers_version": "4.35.2",
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+ "use_cache": true,
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+ }
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