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  1. .gitattributes +4 -0
  2. README.md +87 -0
  3. added_tokens.json +59 -0
  4. all_results.json +22 -0
  5. checkpoint-15000/added_tokens.json +59 -0
  6. checkpoint-15000/config.json +59 -0
  7. checkpoint-15000/generation_config.json +12 -0
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.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ language:
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+ - ko
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+ - en
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+ base_model: facebook/mbart-large-50-many-to-many-mmt
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+ tags:
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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: ko-en_mbartLarge_exp5p_linear
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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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+ # ko-en_mbartLarge_exp5p_linear
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+
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+ This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2308
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+ - Bleu: 26.2764
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+ - Gen Len: 18.3888
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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: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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+ - total_eval_batch_size: 16
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 40
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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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+ | 1.7665 | 0.46 | 1000 | 1.6564 | 17.6773 | 18.7196 |
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+ | 1.5688 | 0.93 | 2000 | 1.4939 | 20.8837 | 18.3983 |
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+ | 1.457 | 1.39 | 3000 | 1.4350 | 21.9168 | 18.458 |
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+ | 1.4107 | 1.86 | 4000 | 1.3752 | 22.8881 | 18.4826 |
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+ | 1.3039 | 2.32 | 5000 | 1.3327 | 23.8115 | 18.4348 |
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+ | 1.282 | 2.78 | 6000 | 1.3079 | 24.235 | 18.3561 |
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+ | 1.2133 | 3.25 | 7000 | 1.2820 | 24.8877 | 18.5204 |
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+ | 1.1787 | 3.71 | 8000 | 1.2580 | 25.2719 | 18.415 |
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+ | 1.1154 | 4.18 | 9000 | 1.2543 | 25.5507 | 18.3528 |
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+ | 1.0956 | 4.64 | 10000 | 1.2415 | 25.7284 | 18.5348 |
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+ | 1.023 | 5.1 | 11000 | 1.2410 | 25.7912 | 18.3347 |
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+ | 0.95 | 5.57 | 12000 | 1.2327 | 25.9921 | 18.2593 |
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+ | 0.9476 | 6.03 | 13000 | 1.2631 | 25.829 | 18.3686 |
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+ | 0.9061 | 6.5 | 14000 | 1.2548 | 25.8316 | 18.7481 |
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+ | 0.9037 | 6.96 | 15000 | 1.2308 | 26.2764 | 18.3888 |
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+ | 0.7431 | 7.42 | 16000 | 1.2716 | 25.9268 | 18.256 |
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+ | 0.7526 | 7.89 | 17000 | 1.2655 | 25.9883 | 18.2052 |
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+ | 0.6654 | 8.35 | 18000 | 1.3118 | 25.6866 | 18.2217 |
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+ | 0.6953 | 8.82 | 19000 | 1.3050 | 25.8958 | 18.3387 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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+ {
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+ "added_tokens_decoder": {
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+ "0": {
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+ "content": "<s>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "special": true
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+ "special": true
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+ "content": "</s>",
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+ "content": "<unk>",
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+ "lstrip": false,
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+ "special": true
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+ "lstrip": true,
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+ "special": true
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+ "special": true
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+ "special": true
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+ "lstrip": true,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ "250008": {
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+ "content": "fr_XX",
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+ "lstrip": true,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "250009": {
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+ "content": "gu_IN",
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+ "lstrip": true,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "250010": {
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+ "content": "hi_IN",
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+ "lstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "250011": {
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+ "content": "it_IT",
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+ "lstrip": true,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ "content": "ja_XX",
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+ "single_word": false,
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+ "special": true
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+ "lstrip": true,
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+ "special": true
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+ "content": "ko_KR",
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+ "lstrip": true,
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+ "single_word": false,
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+ "special": true
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+ "content": "my_MM",
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+ "special": true
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+ "content": "nl_XX",
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+ "lstrip": true,
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+ "special": true
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+ "special": true
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+ },
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+ "content": "zh_CN",
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+ "lstrip": true,
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+ "special": true
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+ "lstrip": true,
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+ "special": true
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+ "special": true
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+ "lstrip": true,
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+ "special": true
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+ },
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+ "content": "fa_IR",
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+ "lstrip": true,
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+ "special": true
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+ },
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+ "single_word": false,
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+ "special": true
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+ },
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+ "content": "id_ID",
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+ "lstrip": true,
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+ "special": true
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+ },
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+ },
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+ "lstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "special": true
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+ },
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+ "content": "ml_IN",
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+ "lstrip": true,
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+ "special": true
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+ },
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+ "content": "mn_MN",
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+ "lstrip": true,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "content": "mr_IN",
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+ "lstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "normalized": false,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "content": "ps_AF",
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+ "single_word": false,
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+ "special": true
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+ },
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+ "lstrip": true,
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+ },
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+ "special": true
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+ },
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+ "lstrip": true,
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+ "normalized": false,
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+ "special": true
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+ },
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+ "content": "ta_IN",
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+ "lstrip": true,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "content": "te_IN",
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+ "lstrip": true,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "250046": {
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+ "content": "th_TH",
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+ "lstrip": true,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "250047": {
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+ "content": "tl_XX",
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+ "lstrip": true,
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+ "special": true
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+ },
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+ "content": "uk_UA",
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+ "lstrip": true,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "250049": {
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+ "content": "ur_PK",
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+ "lstrip": true,
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+ "normalized": false,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "250050": {
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+ "content": "xh_ZA",
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+ "lstrip": true,
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+ "rstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "250051": {
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+ "content": "gl_ES",
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+ "lstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "lstrip": true,
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+ "single_word": false,
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+ "special": true
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+ },
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+ "250053": {
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+ "content": "<mask>",
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+ "single_word": false,
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+ "special": true
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+ }
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+ },
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+ "additional_special_tokens": [
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+ "ar_AR",
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+ "cs_CZ",
463
+ "de_DE",
464
+ "en_XX",
465
+ "es_XX",
466
+ "et_EE",
467
+ "fi_FI",
468
+ "fr_XX",
469
+ "gu_IN",
470
+ "hi_IN",
471
+ "it_IT",
472
+ "ja_XX",
473
+ "kk_KZ",
474
+ "ko_KR",
475
+ "lt_LT",
476
+ "lv_LV",
477
+ "my_MM",
478
+ "ne_NP",
479
+ "nl_XX",
480
+ "ro_RO",
481
+ "ru_RU",
482
+ "si_LK",
483
+ "tr_TR",
484
+ "vi_VN",
485
+ "zh_CN",
486
+ "af_ZA",
487
+ "az_AZ",
488
+ "bn_IN",
489
+ "fa_IR",
490
+ "he_IL",
491
+ "hr_HR",
492
+ "id_ID",
493
+ "ka_GE",
494
+ "km_KH",
495
+ "mk_MK",
496
+ "ml_IN",
497
+ "mn_MN",
498
+ "mr_IN",
499
+ "pl_PL",
500
+ "ps_AF",
501
+ "pt_XX",
502
+ "sv_SE",
503
+ "sw_KE",
504
+ "ta_IN",
505
+ "te_IN",
506
+ "th_TH",
507
+ "tl_XX",
508
+ "uk_UA",
509
+ "ur_PK",
510
+ "xh_ZA",
511
+ "gl_ES",
512
+ "sl_SI"
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+ ],
514
+ "bos_token": "<s>",
515
+ "clean_up_tokenization_spaces": true,
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+ "cls_token": "<s>",
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+ "eos_token": "</s>",
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+ "language_codes": "ML50",
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+ "mask_token": "<mask>",
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+ "model_max_length": 1000000000000000019884624838656,
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+ "pad_token": "<pad>",
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+ "sep_token": "</s>",
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+ "sp_model_kwargs": {},
524
+ "src_lang": "ko_KR",
525
+ "tgt_lang": "en_XX",
526
+ "tokenizer_class": "MBart50Tokenizer",
527
+ "unk_token": "<unk>"
528
+ }