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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-large |
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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: facebook_wav2vec2-large_October_03_2023_05h34PM |
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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: validation |
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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: 0.9743347801471975 |
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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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# facebook_wav2vec2-large_October_03_2023_05h34PM |
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This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on the audiofolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1318 |
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- Accuracy: 0.9743 |
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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: 15 |
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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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| 0.4214 | 1.0 | 121 | 0.3650 | 0.7932 | |
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| 0.1959 | 2.0 | 242 | 0.2588 | 0.8960 | |
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| 0.1365 | 3.0 | 363 | 0.0732 | 0.9713 | |
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| 0.1003 | 4.0 | 484 | 0.0849 | 0.9719 | |
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| 0.0806 | 5.0 | 605 | 0.2170 | 0.9381 | |
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| 0.0588 | 6.0 | 726 | 0.0738 | 0.9760 | |
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| 0.0472 | 7.0 | 847 | 0.2083 | 0.9409 | |
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| 0.0505 | 8.0 | 968 | 0.1020 | 0.9760 | |
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| 0.0427 | 9.0 | 1089 | 0.0626 | 0.9809 | |
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| 0.0285 | 10.0 | 1210 | 0.1062 | 0.9732 | |
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| 0.0286 | 11.0 | 1331 | 0.1068 | 0.9738 | |
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| 0.0231 | 12.0 | 1452 | 0.1137 | 0.9755 | |
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| 0.0232 | 13.0 | 1573 | 0.0783 | 0.9815 | |
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| 0.0158 | 14.0 | 1694 | 0.1138 | 0.9755 | |
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| 0.0164 | 15.0 | 1815 | 0.1318 | 0.9743 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.2.0.dev20230927+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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