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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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- coscan-speech |
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metrics: |
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- accuracy |
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model-index: |
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- name: wav2vec2-base-finetuned-coscan-region |
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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: Coscan Speech |
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type: NbAiLab/coscan-speech |
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args: no |
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metrics: |
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- name: Test Accuracy |
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type: accuracy |
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value: 0.5768303269991318 |
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- name: Validation Accuracy |
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type: accuracy |
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value: 0.9734970364098222 |
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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-coscan-region |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the coscan-speech dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1020 |
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- Accuracy: 0.9735 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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: 1 |
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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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| 0.2089 | 1.0 | 6644 | 0.1020 | 0.9735 | |
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### Framework versions |
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- Transformers 4.21.0 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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