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--- |
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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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- audiofolder |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: wav2vec2-base-finetuned-ks |
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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: audiofolder |
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type: audiofolder |
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config: Data_Train |
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split: train |
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args: Data_Train |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8127696289905091 |
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- name: F1 |
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type: f1 |
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value: 0.7948883642136002 |
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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-ks |
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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: 0.9323 |
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- Accuracy: 0.8128 |
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- F1: 0.7949 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 1.844 | 1.0 | 1449 | 1.7968 | 0.5065 | 0.3818 | |
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| 0.8796 | 2.0 | 2898 | 1.1875 | 0.6799 | 0.6273 | |
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| 0.7076 | 3.0 | 4347 | 1.0995 | 0.7584 | 0.7287 | |
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| 0.4669 | 4.0 | 5796 | 0.9960 | 0.7886 | 0.7675 | |
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| 0.2156 | 5.0 | 7245 | 0.9323 | 0.8128 | 0.7949 | |
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### Framework versions |
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- Transformers 4.31.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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