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Training complete

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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: dokyoungkim/wmt19-finetuned-law-de-to-en-2
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+ tags:
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+ - tanslation
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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: wmt19-finetuned-law-de-to-en-3
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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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+ # wmt19-finetuned-law-de-to-en-3
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+
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+ This model is a fine-tuned version of [dokyoungkim/wmt19-finetuned-law-de-to-en-2](https://huggingface.co/dokyoungkim/wmt19-finetuned-law-de-to-en-2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2315
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+ - Bleu: 59.6972
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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: 40
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+ - eval_batch_size: 20
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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: 6
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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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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
generation_config.json ADDED
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+ {
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+ "bos_token_id": 0,
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+ "decoder_start_token_id": 2,
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+ "eos_token_id": 2,
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+ "forced_eos_token_id": 2,
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+ "length_penalty": 1.1,
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+ "max_length": 200,
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+ "num_beams": 5,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.37.2"
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+ }
runs/Mar21_11-40-58_gpusvr021320/events.out.tfevents.1711034012.gpusvr021320.3500871.1 ADDED
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+ size 738