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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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<!-- 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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# ko-xlsr |
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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: 0.5156 |
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- Cer: 0.1228 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 8 |
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- total_train_batch_size: 128 |
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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: 40 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Cer | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 1.778 | 3.31 | 1000 | 1.2773 | 0.3050 | |
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| 1.1037 | 6.63 | 2000 | 0.7716 | 0.1888 | |
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| 0.9529 | 9.94 | 3000 | 0.6726 | 0.1659 | |
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| 0.8424 | 13.26 | 4000 | 0.6138 | 0.1512 | |
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| 0.767 | 16.57 | 5000 | 0.5885 | 0.1433 | |
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| 0.7201 | 19.88 | 6000 | 0.5682 | 0.1378 | |
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| 0.664 | 23.2 | 7000 | 0.5583 | 0.1333 | |
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| 0.6296 | 26.51 | 8000 | 0.5416 | 0.1298 | |
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| 0.6021 | 29.83 | 9000 | 0.5377 | 0.1272 | |
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| 0.568 | 33.14 | 10000 | 0.5241 | 0.1246 | |
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| 0.5519 | 36.45 | 11000 | 0.5184 | 0.1228 | |
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| 0.5395 | 39.77 | 12000 | 0.5156 | 0.1227 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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