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wav2vec2-base-sound2
learningdude/wav2vec2-base-sound2
wav2vec2-base-sound2 is a audio classification model from learningdude. 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
- May 5, 2022
- Updated
- May 5, 2022
- SHA
- f86577c2
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-sound2
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5012
- Accuracy: 0.5357
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: 9e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 1 | 2.0762 | 0.0714 |
| No log | 2.0 | 2 | 2.0638 | 0.1429 |
| No log | 3.0 | 3 | 2.0387 | 0.2143 |
| No log | 4.0 | 4 | 2.0124 | 0.2143 |
| No log | 5.0 | 5 | 1.9864 | 0.2143 |
| No log | 6.0 | 6 | 1.9609 | 0.2143 |
| No log | 7.0 | 7 | 1.9235 | 0.2143 |
| No log | 8.0 | 8 | 1.9379 | 0.2143 |
| No log | 9.0 | 9 | 1.8627 | 0.2857 |
| 1.9713 | 10.0 | 10 | 1.8277 | 0.3214 |
| 1.9713 | 11.0 | 11 | 1.7765 | 0.3571 |
| 1.9713 | 12.0 | 12 | 1.7204 | 0.5 |
| 1.9713 | 13.0 | 13 | 1.6956 | 0.5 |
| 1.9713 | 14.0 | 14 | 1.6602 | 0.5357 |
| 1.9713 | 15.0 | 15 | 1.6277 | 0.5714 |
| 1.9713 | 16.0 | 16 | 1.6053 | 0.5 |
| 1.9713 | 17.0 | 17 | 1.5825 | 0.5 |
| 1.9713 | 18.0 | 18 | 1.5656 | 0.4286 |
| 1.9713 | 19.0 | 19 | 1.5616 | 0.4643 |
| 1.6334 | 20.0 | 20 | 1.5613 | 0.4286 |
| 1.6334 | 21.0 | 21 | 1.5419 | 0.5 |
| 1.6334 | 22.0 | 22 | 1.5166 | 0.5357 |
| 1.6334 | 23.0 | 23 | 1.5088 | 0.5 |
| 1.6334 | 24.0 | 24 | 1.5052 | 0.5 |
| 1.6334 | 25.0 | 25 | 1.5012 | 0.5357 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 1.14.0
- Tokenizers 0.12.1
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- May 5, 2022
- Updated
- May 5, 2022