Downloads · 30 days
9
2% of all-time downloads
wav2vec2-base-finetuned-ks
ngeg2015/wav2vec2-base-finetuned-ks
wav2vec2-base-finetuned-ks is a audio classification model from ngeg2015. 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. --
All-time downloads
485
Public
Repo size
4.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin378 MB · 100%
At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Dec 31, 2022
- Updated
- Jan 8, 2023
- SHA
- 48248bb1
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 superb dataset. It achieves the following results on the evaluation set:
- Loss: 0.1020
- Accuracy: 0.9815
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7887 | 1.0 | 399 | 0.7190 | 0.7682 |
| 0.3784 | 2.0 | 798 | 0.2387 | 0.9737 |
| 0.2159 | 3.0 | 1197 | 0.1335 | 0.9785 |
| 0.1809 | 4.0 | 1596 | 0.1088 | 0.9798 |
| 0.1527 | 5.0 | 1995 | 0.1020 | 0.9815 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Dec 31, 2022
- Updated
- Jan 8, 2023