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End of training

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  1. README.md +49 -0
  2. generation_config.json +16 -0
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ base_model: Helsinki-NLP/opus-mt-en-de
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: opus-mt-en-de-finetuned-en-to-de
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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-en-de-finetuned-en-to-de
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-de](https://huggingface.co/Helsinki-NLP/opus-mt-en-de) on an unknown dataset.
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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: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ "forced_eos_token_id": 0,
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+ "max_length": 512,
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+ "num_beams": 4,
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+ "pad_token_id": 58100,
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+ "renormalize_logits": true,
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+ "transformers_version": "4.42.4"
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+ }
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