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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_17_0 |
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metrics: |
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- accuracy |
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model-index: |
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- name: wav2vec2_turkish_gender_classification |
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results: |
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- task: |
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name: Audio Classification |
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type: audio-classification |
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dataset: |
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name: common_voice_17_0 |
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type: common_voice_17_0 |
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config: tr |
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split: test |
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args: tr |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8478508073686605 |
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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_turkish_gender_classification |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co./facebook/wav2vec2-base) on the common_voice_17_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7567 |
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- Accuracy: 0.8479 |
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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: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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_ratio: 0.1 |
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- num_epochs: 10 |
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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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| 0.1723 | 0.9968 | 233 | 0.5006 | 0.8003 | |
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| 0.0967 | 1.9979 | 467 | 0.3800 | 0.8722 | |
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| 0.0696 | 2.9989 | 701 | 0.5256 | 0.8449 | |
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| 0.0451 | 4.0 | 935 | 0.5080 | 0.8879 | |
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| 0.0647 | 4.9968 | 1168 | 0.5977 | 0.8551 | |
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| 0.0322 | 5.9979 | 1402 | 0.7294 | 0.8463 | |
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| 0.0249 | 6.9989 | 1636 | 1.0826 | 0.7830 | |
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| 0.0189 | 8.0 | 1870 | 0.6995 | 0.8485 | |
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| 0.0276 | 8.9968 | 2103 | 0.8064 | 0.8360 | |
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| 0.0167 | 9.9679 | 2330 | 0.7567 | 0.8479 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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