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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- audiofolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: wav2vec2-base-finetuned-stop-classification-5 |
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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-base-finetuned-stop-classification-5 |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1860 |
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- Accuracy: 0.9326 |
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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: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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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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| 0.6912 | 0.99 | 18 | 0.6572 | 0.6887 | |
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| 0.6092 | 1.97 | 36 | 0.5213 | 0.7636 | |
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| 0.4822 | 2.96 | 54 | 0.3353 | 0.8883 | |
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| 0.3866 | 4.0 | 73 | 0.2711 | 0.8978 | |
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| 0.3293 | 4.99 | 91 | 0.2208 | 0.9230 | |
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| 0.3004 | 5.97 | 109 | 0.2206 | 0.9237 | |
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| 0.2799 | 6.96 | 127 | 0.2097 | 0.9223 | |
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| 0.2688 | 8.0 | 146 | 0.1853 | 0.9305 | |
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| 0.2333 | 8.99 | 164 | 0.1850 | 0.9305 | |
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| 0.2461 | 9.86 | 180 | 0.1860 | 0.9326 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 1.13.0 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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