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yesj1234
/
mbart-mmt_5p3_ko-zh

Text2Text Generation
Transformers
PyTorch
Korean
Chinese
mbart
Generated from Trainer
Inference Endpoints
Model card Files Community
yesj1234 commited on
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  1. .gitattributes +2 -0
  2. README.md +73 -0
  3. added_tokens.json +59 -0
  4. all_results.json +22 -0
  5. checkpoint-6000/added_tokens.json +59 -0
  6. checkpoint-6000/config.json +58 -0
  7. checkpoint-6000/generation_config.json +11 -0
  8. checkpoint-6000/optimizer.pt +3 -0
  9. checkpoint-6000/pytorch_model.bin +3 -0
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  12. checkpoint-6000/rng_state_2.pth +3 -0
  13. checkpoint-6000/rng_state_3.pth +3 -0
  14. checkpoint-6000/scheduler.pt +3 -0
  15. checkpoint-6000/sentencepiece.bpe.model +3 -0
  16. checkpoint-6000/special_tokens_map.json +63 -0
  17. checkpoint-6000/tokenizer.json +3 -0
  18. checkpoint-6000/tokenizer_config.json +528 -0
  19. checkpoint-6000/trainer_state.json +121 -0
  20. checkpoint-6000/training_args.bin +3 -0
  21. config.json +58 -0
  22. eval_results.json +10 -0
  23. generated_predictions.txt +0 -0
  24. generation_config.json +11 -0
  25. predict_results.json +9 -0
  26. pytorch_model.bin +3 -0
  27. sentencepiece.bpe.model +3 -0
  28. special_tokens_map.json +63 -0
  29. tokenizer.json +3 -0
  30. tokenizer_config.json +528 -0
  31. train_results.json +8 -0
  32. trainer_state.json +232 -0
  33. training_args.bin +3 -0
.gitattributes CHANGED
@@ -33,3 +33,5 @@ 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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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-6000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ language:
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+ - ko
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+ - zh
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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-output5
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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-output5
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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: 1.3149
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+ - Bleu: 12.1284
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+ - Gen Len: 15.2902
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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: 1500
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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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+ | 1.3822 | 0.86 | 2000 | 1.3693 | 8.4562 | 15.8491 |
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+ | 1.0081 | 1.71 | 4000 | 1.2806 | 11.3956 | 15.239 |
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+ | 0.7007 | 2.57 | 6000 | 1.3149 | 12.0444 | 15.34 |
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+ | 0.4483 | 3.43 | 8000 | 1.4177 | 11.5647 | 15.2139 |
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+ | 0.2837 | 4.29 | 10000 | 1.5126 | 11.1306 | 15.2984 |
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+ | 0.2276 | 5.14 | 12000 | 1.5938 | 11.1467 | 15.2992 |
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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 2.0.1+cu117
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.0
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