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  1. .gitattributes +3 -0
  2. README.md +79 -0
  3. added_tokens.json +59 -0
  4. all_results.json +22 -0
  5. checkpoint-12000/added_tokens.json +59 -0
  6. checkpoint-12000/config.json +59 -0
  7. checkpoint-12000/generation_config.json +12 -0
  8. checkpoint-12000/optimizer.pt +3 -0
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  37. config.json +59 -0
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  47. train_results.json +8 -0
  48. trainer_state.json +364 -0
  49. training_args.bin +3 -0
.gitattributes CHANGED
@@ -33,3 +33,6 @@ 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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+ - ja
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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: tst-translation-output2
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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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+ # tst-translation-output2
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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: 0.9049
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+ - Bleu: 10.3643
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+ - Gen Len: 17.4046
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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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+ - total_train_batch_size: 16
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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: 35
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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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+ | 1.2499 | 0.23 | 1500 | 1.1806 | 6.1112 | 18.0495 |
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+ | 1.1007 | 0.46 | 3000 | 1.0686 | 7.4845 | 17.6068 |
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+ | 1.0334 | 0.68 | 4500 | 1.0013 | 9.0076 | 17.6214 |
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+ | 0.992 | 0.91 | 6000 | 0.9599 | 8.6786 | 17.868 |
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+ | 0.7881 | 1.14 | 7500 | 0.9644 | 9.2343 | 17.2061 |
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+ | 0.7675 | 1.37 | 9000 | 0.9427 | 10.0578 | 17.6006 |
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+ | 0.7665 | 1.59 | 10500 | 0.9238 | 10.436 | 17.2095 |
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+ | 0.7707 | 1.82 | 12000 | 0.9049 | 10.5971 | 17.2971 |
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+ | 0.6119 | 2.05 | 13500 | 0.9392 | 10.8369 | 17.3201 |
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+ | 0.5579 | 2.28 | 15000 | 0.9429 | 10.3486 | 17.3221 |
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+ | 0.5633 | 2.5 | 16500 | 0.9310 | 10.6114 | 17.3679 |
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+ | 0.5764 | 2.73 | 18000 | 0.9265 | 9.9612 | 17.1339 |
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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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