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wav2vec2-base-mirst500
gary109/wav2vec2-base-mirst500
wav2vec2-base-mirst500 is a audio classification model from gary109. 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
- Apr 11, 2022
- Updated
- Apr 12, 2022
- SHA
- 8ebe5404
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-mirst500
This model is a fine-tuned version of facebook/wav2vec2-base on the /workspace/datasets/datasets/MIR_ST500/MIR_ST500_AUDIO_CLASSIFICATION.py dataset. It achieves the following results on the evaluation set:
- Loss: 0.8678
- Accuracy: 0.7017
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: 16
- eval_batch_size: 1
- seed: 0
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1999 | 1.0 | 1304 | 1.1029 | 0.5877 |
| 1.0779 | 2.0 | 2608 | 0.9455 | 0.6555 |
| 0.9775 | 3.0 | 3912 | 0.9670 | 0.6523 |
| 0.9542 | 4.0 | 5216 | 0.8810 | 0.6946 |
| 0.9403 | 5.0 | 6520 | 0.8678 | 0.7017 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.9.1+cu102
- Datasets 2.0.0
- Tokenizers 0.10.3
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Apr 11, 2022
- Updated
- Apr 12, 2022