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--- |
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library_name: transformers |
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base_model: fleek/wav2vec-large-xlsr-korean |
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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: wav2vec2-xlsr-korean-dialect-recognition |
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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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# wav2vec2-xlsr-korean-dialect-recognition |
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This model is a fine-tuned version of [fleek/wav2vec-large-xlsr-korean](https://huggingface.co/fleek/wav2vec-large-xlsr-korean) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0752 |
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- Accuracy: 0.9783 |
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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: 0.0001 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 0.8264 | 0.0794 | 500 | 0.3492 | 0.8641 | |
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| 0.674 | 0.1588 | 1000 | 0.2810 | 0.8985 | |
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| 0.3338 | 0.2382 | 1500 | 0.2596 | 0.9269 | |
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| 0.3121 | 0.3176 | 2000 | 0.2037 | 0.9403 | |
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| 0.2074 | 0.3970 | 2500 | 0.1472 | 0.9494 | |
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| 0.4901 | 0.4764 | 3000 | 0.1448 | 0.9582 | |
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| 0.2544 | 0.5558 | 3500 | 0.1676 | 0.9535 | |
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| 0.2138 | 0.6352 | 4000 | 0.1057 | 0.9684 | |
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| 0.1705 | 0.7146 | 4500 | 0.1463 | 0.9551 | |
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| 0.4207 | 0.7940 | 5000 | 0.0907 | 0.9722 | |
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| 0.0229 | 0.8734 | 5500 | 0.0887 | 0.9738 | |
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| 0.203 | 0.9528 | 6000 | 0.0752 | 0.9783 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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