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  1. BERT-mULT-t-MMG/README.md +63 -0
  2. BERT-mULT-t-MMG/checkpoint-102/config.json +32 -0
  3. BERT-mULT-t-MMG/checkpoint-102/optimizer.pt +3 -0
  4. BERT-mULT-t-MMG/checkpoint-102/pytorch_model.bin +3 -0
  5. BERT-mULT-t-MMG/checkpoint-102/rng_state.pth +3 -0
  6. BERT-mULT-t-MMG/checkpoint-102/scheduler.pt +3 -0
  7. BERT-mULT-t-MMG/checkpoint-102/trainer_state.json +43 -0
  8. BERT-mULT-t-MMG/checkpoint-102/training_args.bin +3 -0
  9. BERT-mULT-t-MMG/checkpoint-136/config.json +32 -0
  10. BERT-mULT-t-MMG/checkpoint-136/optimizer.pt +3 -0
  11. BERT-mULT-t-MMG/checkpoint-136/pytorch_model.bin +3 -0
  12. BERT-mULT-t-MMG/checkpoint-136/rng_state.pth +3 -0
  13. BERT-mULT-t-MMG/checkpoint-136/scheduler.pt +3 -0
  14. BERT-mULT-t-MMG/checkpoint-136/trainer_state.json +52 -0
  15. BERT-mULT-t-MMG/checkpoint-136/training_args.bin +3 -0
  16. BERT-mULT-t-MMG/checkpoint-34/optimizer.pt +3 -0
  17. BERT-mULT-t-MMG/checkpoint-34/pytorch_model.bin +3 -0
  18. BERT-mULT-t-MMG/checkpoint-34/rng_state.pth +3 -0
  19. BERT-mULT-t-MMG/checkpoint-34/scheduler.pt +3 -0
  20. BERT-mULT-t-MMG/checkpoint-34/trainer_state.json +25 -0
  21. BERT-mULT-t-MMG/checkpoint-34/training_args.bin +3 -0
  22. BERT-mULT-t-MMG/checkpoint-68/config.json +32 -0
  23. BERT-mULT-t-MMG/checkpoint-68/optimizer.pt +3 -0
  24. BERT-mULT-t-MMG/checkpoint-68/pytorch_model.bin +3 -0
  25. BERT-mULT-t-MMG/checkpoint-68/rng_state.pth +3 -0
  26. BERT-mULT-t-MMG/checkpoint-68/scheduler.pt +3 -0
  27. BERT-mULT-t-MMG/checkpoint-68/trainer_state.json +34 -0
  28. BERT-mULT-t-MMG/checkpoint-68/training_args.bin +3 -0
  29. BERT-mULT-t-MMG/config.json +32 -0
  30. BERT-mULT-t-MMG/pytorch_model.bin +3 -0
  31. BERT-mULT-t-MMG/runs/Aug10_14-39-26_practicas/events.out.tfevents.1691671191.practicas.2817540.0 +3 -0
  32. BERT-mULT-t-MMG/runs/Aug10_14-39-26_practicas/events.out.tfevents.1691671338.practicas.2817540.1 +3 -0
  33. BERT-mULT-t-MMG/training_args.bin +3 -0
BERT-mULT-t-MMG/README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: bert-base-multilingual-cased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: BERT-mULT-t-MMG
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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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+ # BERT-mULT-t-MMG
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+
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+ This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6791
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+ - Accuracy: 0.6515
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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: 8
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+ - eval_batch_size: 8
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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: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 34 | 0.6893 | 0.5303 |
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+ | No log | 2.0 | 68 | 0.6791 | 0.6515 |
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+ | No log | 3.0 | 102 | 0.7651 | 0.5303 |
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+ | No log | 4.0 | 136 | 0.6895 | 0.5758 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.0
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+ - Tokenizers 0.13.3
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