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wav2vec2-base-finetuned-ks
calicxy/wav2vec2-base-finetuned-ks
wav2vec2-base-finetuned-ks is a audio classification model from calicxy. 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
- Nov 3, 2022
- Updated
- Nov 3, 2022
- SHA
- 9f011ffc
Datasets
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-base-finetuned-ks
This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 2.1135
- Accuracy: 0.3403
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.2574 | 0.99 | 40 | 2.1881 | 0.2917 |
| 2.1367 | 1.99 | 80 | 2.1433 | 0.2917 |
| 2.1535 | 2.99 | 120 | 2.1255 | 0.2917 |
| 2.159 | 3.99 | 160 | 2.1135 | 0.3403 |
| 2.1341 | 4.99 | 200 | 2.1027 | 0.3403 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Nov 3, 2022
- Updated
- Nov 3, 2022