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wav2vec2-animal-sounds-finetuned
a52103/wav2vec2-animal-sounds-finetuned
wav2vec2-animal-sounds-finetuned is a audio classification model from a52103. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Dec 1, 2024
- Updated
- Dec 1, 2024
- SHA
- da3d2bc8
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
wav2vec2-animal-sounds-finetuned
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the ESC-50 Animals Subset dataset. It achieves the following results on the evaluation set:
- Loss: 3.6753
- Accuracy: 0.04
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.8434 | 1.0 | 113 | 3.7969 | 0.055 |
| 3.7516 | 2.0 | 226 | 3.7279 | 0.04 |
| 3.7121 | 3.0 | 339 | 3.6753 | 0.04 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.3.0+cpu
- Tokenizers 0.20.3
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Dec 1, 2024
- Updated
- Dec 1, 2024