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  1. README.md +80 -0
  2. added_tokens.json +6 -0
  3. all_results.json +14 -0
  4. checkpoint-28000/added_tokens.json +6 -0
  5. checkpoint-28000/config.json +117 -0
  6. checkpoint-28000/optimizer.pt +3 -0
  7. checkpoint-28000/preprocessor_config.json +10 -0
  8. checkpoint-28000/pytorch_model.bin +3 -0
  9. checkpoint-28000/rng_state_0.pth +3 -0
  10. checkpoint-28000/rng_state_1.pth +3 -0
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  17. checkpoint-28000/training_args.bin +3 -0
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  19. checkpoint-30000/added_tokens.json +6 -0
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  33. checkpoint-30000/vocab.json +1795 -0
  34. config.json +117 -0
  35. eval_results.json +9 -0
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  37. pytorch_model.bin +3 -0
  38. special_tokens_map.json +10 -0
  39. tokenizer_config.json +56 -0
  40. train_results.json +8 -0
  41. trainer_state.json +541 -0
  42. training_args.bin +3 -0
  43. vocab.json +1795 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/wav2vec2-large-xlsr-53
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+ tags:
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+ - automatic-speech-recognition
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+ - ./sample_speech.py
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+ - generated_from_trainer
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+ model-index:
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+ - name: ko-xlsr
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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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+ # ko-xlsr
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the ./SAMPLE_SPEECH.PY - NA dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4215
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+ - Cer: 0.1103
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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: 0.0003
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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: 4
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+ - total_train_batch_size: 64
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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: 1000
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+ - num_epochs: 15
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Cer |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 1.5961 | 0.94 | 2000 | 1.0685 | 0.2712 |
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+ | 1.2068 | 1.89 | 4000 | 0.8059 | 0.2117 |
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+ | 1.0519 | 2.83 | 6000 | 0.6764 | 0.1784 |
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+ | 0.9522 | 3.77 | 8000 | 0.6238 | 0.1667 |
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+ | 0.8855 | 4.72 | 10000 | 0.5901 | 0.1572 |
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+ | 0.8353 | 5.66 | 12000 | 0.5560 | 0.1473 |
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+ | 0.7765 | 6.6 | 14000 | 0.5313 | 0.1418 |
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+ | 0.7333 | 7.55 | 16000 | 0.5100 | 0.1339 |
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+ | 0.6887 | 8.49 | 18000 | 0.4902 | 0.1304 |
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+ | 0.6547 | 9.43 | 20000 | 0.4785 | 0.1252 |
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+ | 0.612 | 10.37 | 22000 | 0.4594 | 0.1200 |
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+ | 0.5855 | 11.32 | 24000 | 0.4469 | 0.1176 |
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+ | 0.5538 | 12.26 | 26000 | 0.4398 | 0.1156 |
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+ | 0.5341 | 13.2 | 28000 | 0.4318 | 0.1124 |
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+ | 0.5229 | 14.15 | 30000 | 0.4251 | 0.1111 |
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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 2.1.0+cu121
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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+ }
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