| | ---
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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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| | model-index:
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| | - name: Wav2Vec
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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: default
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| | split: train
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| | args: default
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| | metrics:
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| | - name: Accuracy
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| | type: accuracy
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| | value: 0.9754364282403831
|
| | ---
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| |
|
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| | should probably proofread and complete it, then remove this comment. -->
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| |
|
| | # Wav2Vec
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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: 0.1947
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| | - Accuracy: 0.9754
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| |
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| | ## Model description
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
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| | ## Training and evaluation data
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| |
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| | More information needed
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| |
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| | ## Training procedure
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| |
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| | ### Training hyperparameters
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| |
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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: 4
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| |
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| | ### Training results
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| |
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| | | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| | |:-------------:|:------:|:----:|:---------------:|:--------:|
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| | | 1.1951 | 0.9981 | 404 | 0.9267 | 0.9588 |
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| | | 0.5413 | 1.9988 | 809 | 0.3546 | 0.9709 |
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| | | 0.367 | 2.9994 | 1214 | 0.2216 | 0.9750 |
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| | | 0.3055 | 3.9926 | 1616 | 0.1947 | 0.9754 |
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| |
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| |
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| | ### Framework versions
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| |
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| | - Transformers 4.40.1
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| | - Pytorch 2.3.0+cpu
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| | - Datasets 2.19.1
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| | - Tokenizers 0.19.1
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| |
|
