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  1. .gitattributes +3 -0
  2. README.md +78 -0
  3. all_results.json +22 -0
  4. checkpoint-33000/config.json +59 -0
  5. checkpoint-33000/generation_config.json +12 -0
  6. checkpoint-33000/optimizer.pt +3 -0
  7. checkpoint-33000/pytorch_model.bin +3 -0
  8. checkpoint-33000/rng_state_0.pth +3 -0
  9. checkpoint-33000/rng_state_1.pth +3 -0
  10. checkpoint-33000/rng_state_2.pth +3 -0
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  13. checkpoint-33000/sentencepiece.bpe.model +3 -0
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  33. checkpoint-55000/training_args.bin +3 -0
  34. config.json +59 -0
  35. eval_results.json +10 -0
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  37. generation_config.json +12 -0
  38. predict_results.json +9 -0
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  42. tokenizer.json +3 -0
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  44. train_results.json +8 -0
  45. trainer_state.json +788 -0
  46. 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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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst 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: mbartLarge_koja_37p
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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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+ # mbartLarge_koja_37p
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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: 0.8995
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+ - Bleu: 6.2934
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+ - Gen Len: 17.4862
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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: 1500
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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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+ | 1.2712 | 0.48 | 5500 | 1.2204 | 3.0858 | 18.1085 |
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+ | 1.0946 | 0.97 | 11000 | 1.0578 | 3.3162 | 17.8651 |
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+ | 0.9546 | 1.45 | 16500 | 0.9688 | 5.6024 | 17.902 |
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+ | 0.89 | 1.94 | 22000 | 0.9414 | 5.1453 | 17.6144 |
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+ | 0.834 | 2.42 | 27500 | 0.9213 | 5.3985 | 17.6899 |
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+ | 0.7439 | 2.91 | 33000 | 0.8995 | 6.2934 | 17.4862 |
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+ | 0.6803 | 3.39 | 38500 | 0.9016 | 6.3565 | 17.8899 |
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+ | 0.733 | 3.88 | 44000 | 0.9226 | 7.0351 | 17.6112 |
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+ | 0.6601 | 4.36 | 49500 | 0.9807 | 5.3084 | 17.4292 |
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+ | 0.6933 | 4.84 | 55000 | 0.9238 | 6.8389 | 17.5131 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.1
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ {
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+ "epoch": 4.84,
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+ "eval_samples_per_second": 15.558,
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+ "eval_steps_per_second": 0.973,
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+ "predict_bleu": 6.6934,
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+ "predict_gen_len": 17.4855,
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+ "predict_loss": 0.8966056704521179,
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+ "predict_runtime": 1467.5245,
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+ "predict_samples_per_second": 15.473,
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+ "predict_steps_per_second": 0.968,
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+ "train_loss": 0.9352452936345881,
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+ "train_samples_per_second": 111.586,
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+ }
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