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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: 0.4651 |
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- Cer: 0.0828 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 64 |
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- total_eval_batch_size: 8 |
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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: 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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| 6.3673 | 3.17 | 1500 | 0.6104 | 0.1606 | |
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| 0.656 | 6.33 | 3000 | 0.4318 | 0.1129 | |
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| 0.4729 | 9.5 | 4500 | 0.4010 | 0.1028 | |
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| 0.3789 | 12.66 | 6000 | 0.3867 | 0.0977 | |
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| 0.3166 | 15.83 | 7500 | 0.3857 | 0.0936 | |
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| 0.267 | 18.99 | 9000 | 0.3891 | 0.0912 | |
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| 0.2286 | 22.16 | 10500 | 0.4074 | 0.0910 | |
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| 0.1967 | 25.32 | 12000 | 0.4079 | 0.0878 | |
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| 0.1712 | 28.49 | 13500 | 0.4289 | 0.0865 | |
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| 0.1493 | 31.65 | 15000 | 0.4456 | 0.0850 | |
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| 0.1333 | 34.82 | 16500 | 0.4573 | 0.0843 | |
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| 0.1191 | 37.98 | 18000 | 0.4633 | 0.0833 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.0 |
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