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  1. .gitattributes +3 -0
  2. README.md +76 -0
  3. all_results.json +22 -0
  4. checkpoint-19502/config.json +59 -0
  5. checkpoint-19502/generation_config.json +12 -0
  6. checkpoint-19502/optimizer.pt +3 -0
  7. checkpoint-19502/pytorch_model.bin +3 -0
  8. checkpoint-19502/rng_state_0.pth +3 -0
  9. checkpoint-19502/rng_state_1.pth +3 -0
  10. checkpoint-19502/rng_state_2.pth +3 -0
  11. checkpoint-19502/rng_state_3.pth +3 -0
  12. checkpoint-19502/scheduler.pt +3 -0
  13. checkpoint-19502/sentencepiece.bpe.model +3 -0
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  15. checkpoint-19502/tokenizer.json +3 -0
  16. checkpoint-19502/tokenizer_config.json +528 -0
  17. checkpoint-19502/trainer_state.json +323 -0
  18. checkpoint-19502/training_args.bin +3 -0
  19. checkpoint-22288/config.json +59 -0
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  21. checkpoint-22288/optimizer.pt +3 -0
  22. checkpoint-22288/pytorch_model.bin +3 -0
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  30. checkpoint-22288/tokenizer.json +3 -0
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  32. checkpoint-22288/trainer_state.json +363 -0
  33. checkpoint-22288/training_args.bin +3 -0
  34. config.json +59 -0
  35. eval_results.json +10 -0
  36. generated_predictions.txt +0 -0
  37. generation_config.json +12 -0
  38. predict_results.json +9 -0
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  40. sentencepiece.bpe.model +3 -0
  41. special_tokens_map.json +69 -0
  42. tokenizer.json +3 -0
  43. tokenizer_config.json +528 -0
  44. train_results.json +8 -0
  45. trainer_state.json +372 -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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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* 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-19502/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-22288/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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+ - zh
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+ - ko
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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: zhko_mbartLarge_50p_tokenize_run1
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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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+ # zhko_mbartLarge_50p_tokenize_run1
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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: 1.8482
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+ - Bleu: 30.6847
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+ - Gen Len: 14.6895
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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: 8
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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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+ | 1.6487 | 1.0 | 2786 | 1.5519 | 26.5985 | 15.0925 |
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+ | 1.1763 | 2.0 | 5572 | 1.4910 | 29.1024 | 14.8538 |
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+ | 0.8697 | 3.0 | 8358 | 1.5510 | 29.5842 | 14.7611 |
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+ | 0.6221 | 4.0 | 11144 | 1.6445 | 29.6959 | 14.7091 |
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+ | 0.4444 | 5.0 | 13930 | 1.7176 | 29.6231 | 14.6204 |
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+ | 0.3137 | 6.0 | 16716 | 1.7916 | 29.6666 | 14.524 |
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+ | 0.2303 | 7.0 | 19502 | 1.8368 | 30.4697 | 14.5571 |
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+ | 0.1888 | 8.0 | 22288 | 1.8482 | 30.6847 | 14.6895 |
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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
all_results.json ADDED
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+ {
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+ "epoch": 8.0,
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+ "eval_bleu": 30.6847,
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+ "eval_gen_len": 14.6895,
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+ "eval_loss": 1.8482487201690674,
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+ "eval_runtime": 642.7247,
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+ "eval_samples": 11142,
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+ "eval_samples_per_second": 17.336,
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+ "eval_steps_per_second": 1.084,
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+ "predict_bleu": 30.8425,
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+ "predict_gen_len": 14.7043,
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+ "predict_loss": 1.8613157272338867,
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+ "predict_runtime": 649.2002,
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+ "predict_samples": 11143,
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+ "predict_samples_per_second": 17.164,
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+ "predict_steps_per_second": 1.074,
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+ "train_loss": 0.7399333726563903,
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+ "train_runtime": 43323.0087,
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+ "train_samples": 89146,
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+ "train_samples_per_second": 16.462,
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+ "train_steps_per_second": 0.514
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+ }
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+ "decoder_start_token_id": 2,
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+ "eos_token_id": 2,
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ }
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