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tokenization is good, translation is not working

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  1. dev.en +1000 -0
  2. eng-nah-svo-cpt/merges.txt +0 -3
  3. eng-nah-svo-cpt/special_tokens_map.json +0 -107
  4. eng-nah-svo-cpt/tokenizer.json +0 -0
  5. eng-nah-svo-cpt/tokenizer_config.json +0 -111
  6. eng-nah-svo-cpt/vocab.json +0 -1
  7. eng-nah-svo-translation/README.md +0 -57
  8. eng-nah-svo-translation/added_tokens.json +0 -4
  9. eng-nah-svo-translation/checkpoint-228/added_tokens.json +0 -4
  10. eng-nah-svo-translation/checkpoint-228/config.json +50 -51
  11. eng-nah-svo-translation/checkpoint-228/generation_config.json +3 -13
  12. eng-nah-svo-translation/checkpoint-228/merges.txt +0 -3
  13. eng-nah-svo-translation/checkpoint-228/optimizer.pt +2 -2
  14. eng-nah-svo-translation/checkpoint-228/pytorch_model.bin +2 -2
  15. eng-nah-svo-translation/checkpoint-228/rng_state.pth +1 -1
  16. eng-nah-svo-translation/checkpoint-228/tokenizer.json +0 -0
  17. eng-nah-svo-translation/checkpoint-228/trainer_state.json +1 -1
  18. eng-nah-svo-translation/checkpoint-228/training_args.bin +1 -1
  19. eng-nah-svo-translation/checkpoint-228/vocab.json +0 -1
  20. eng-nah-svo-translation/checkpoint-456/added_tokens.json +0 -4
  21. eng-nah-svo-translation/checkpoint-456/config.json +50 -51
  22. eng-nah-svo-translation/checkpoint-456/generation_config.json +3 -13
  23. eng-nah-svo-translation/checkpoint-456/merges.txt +0 -3
  24. eng-nah-svo-translation/checkpoint-456/optimizer.pt +2 -2
  25. eng-nah-svo-translation/checkpoint-456/pytorch_model.bin +2 -2
  26. eng-nah-svo-translation/checkpoint-456/rng_state.pth +1 -1
  27. eng-nah-svo-translation/checkpoint-456/tokenizer.json +0 -0
  28. eng-nah-svo-translation/checkpoint-456/trainer_state.json +1 -1
  29. eng-nah-svo-translation/checkpoint-456/training_args.bin +1 -1
  30. eng-nah-svo-translation/checkpoint-456/vocab.json +0 -1
  31. eng-nah-svo-translation/checkpoint-684/added_tokens.json +0 -4
  32. eng-nah-svo-translation/checkpoint-684/config.json +50 -51
  33. eng-nah-svo-translation/checkpoint-684/generation_config.json +3 -13
  34. eng-nah-svo-translation/checkpoint-684/merges.txt +0 -3
  35. eng-nah-svo-translation/checkpoint-684/optimizer.pt +2 -2
  36. eng-nah-svo-translation/checkpoint-684/pytorch_model.bin +2 -2
  37. eng-nah-svo-translation/checkpoint-684/rng_state.pth +1 -1
  38. eng-nah-svo-translation/checkpoint-684/tokenizer.json +0 -0
  39. eng-nah-svo-translation/checkpoint-684/trainer_state.json +2 -2
  40. eng-nah-svo-translation/checkpoint-684/training_args.bin +1 -1
  41. eng-nah-svo-translation/checkpoint-684/vocab.json +0 -1
  42. eng-nah-svo-translation/config.json +50 -51
  43. eng-nah-svo-translation/generation_config.json +0 -16
  44. eng-nah-svo-translation/merges.txt +0 -3
  45. eng-nah-svo-translation/pytorch_model.bin +2 -2
  46. eng-nah-svo-translation/tokenizer.json +0 -0
  47. eng-nah-svo-translation/training_args.bin +1 -1
  48. eng-nah-svo-translation/vocab.json +0 -1
  49. myerrors_1624.out +0 -24
  50. myerrors_1719.out +7 -0
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- ---
2
- tags:
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- - translation
4
- - generated_from_trainer
5
- metrics:
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- - bleu
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- model-index:
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- - name: eng-nah-svo-translation
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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
13
- should probably proofread and complete it, then remove this comment. -->
14
-
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- # eng-nah-svo-translation
16
-
17
- This model was trained from scratch on an unknown dataset.
18
- It achieves the following results on the evaluation set:
19
- - Loss: 0.1119
20
- - Bleu: 0.0
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- - Chrf: 82.3094
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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: 2e-05
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- - train_batch_size: 32
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- - eval_batch_size: 64
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- - seed: 42
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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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- - num_epochs: 3
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-
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- ### Training results
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-
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.32.1
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- - Pytorch 2.0.1
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- - Datasets 2.14.5
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- - Tokenizers 0.13.2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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-
383
-
384
- Traceback (most recent call last):
385
- File "/mnt/storage/aatherton/hf_synth_trans/synth_translation.py", line 136, in <module>
386
-
387
- File "/mnt/storage/aatherton/anaconda3/envs/nmt/lib/python3.11/site-packages/transformers/pipelines/__init__.py", line 904, in pipeline
388
- tokenizer = AutoTokenizer.from_pretrained(
389
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
390
- File "/mnt/storage/aatherton/anaconda3/envs/nmt/lib/python3.11/site-packages/transformers/models/auto/tokenization_auto.py", line 727, in from_pretrained
391
- return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
392
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
393
- File "/mnt/storage/aatherton/anaconda3/envs/nmt/lib/python3.11/site-packages/transformers/tokenization_utils_base.py", line 1854, in from_pretrained
394
- return cls._from_pretrained(
395
- ^^^^^^^^^^^^^^^^^^^^^
396
- File "/mnt/storage/aatherton/anaconda3/envs/nmt/lib/python3.11/site-packages/transformers/tokenization_utils_base.py", line 2066, in _from_pretrained
397
- raise ValueError(
398
- ValueError: Wrong index found for <pad>: should be 0 but found 259.
 
 
 
 
 
 
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1
+
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+
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+
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+ You're using a T5TokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.
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