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wav2vec2-base-finetuned-gtzan
prahalath27/wav2vec2-base-finetuned-gtzan
wav2vec2-base-finetuned-gtzan is a audio classification model from prahalath27. 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 13, 2023
- Updated
- Dec 13, 2023
- SHA
- f2460abc
Base models
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-gtzan
This model is a fine-tuned version of facebook/wav2vec2-base on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.5434
- Accuracy: 0.88
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.8508 | 1.0 | 113 | 1.8043 | 0.51 |
| 1.242 | 2.0 | 226 | 1.4381 | 0.53 |
| 1.0613 | 3.0 | 339 | 1.0958 | 0.68 |
| 0.9561 | 4.0 | 452 | 0.8463 | 0.73 |
| 0.7263 | 5.0 | 565 | 0.7416 | 0.79 |
| 0.4556 | 6.0 | 678 | 0.6373 | 0.83 |
| 0.37 | 7.0 | 791 | 0.5812 | 0.84 |
| 0.3326 | 8.0 | 904 | 0.5368 | 0.85 |
| 0.2602 | 9.0 | 1017 | 0.4992 | 0.89 |
| 0.0756 | 10.0 | 1130 | 0.5434 | 0.88 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Dec 13, 2023
- Updated
- Dec 13, 2023