Downloads · 30 days
8
2% of all-time downloads
wav2vec2-base-finetuned-gtzan
nithiroj/wav2vec2-base-finetuned-gtzan
wav2vec2-base-finetuned-gtzan is a audio classification model from nithiroj. 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
497
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
- Aug 25, 2023
- Updated
- Aug 25, 2023
- SHA
- 53f66ad7
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: 0.6608
- Accuracy: 0.81
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9578 | 1.0 | 113 | 1.8537 | 0.28 |
| 1.4644 | 2.0 | 226 | 1.5867 | 0.5 |
| 0.9624 | 3.0 | 339 | 1.1706 | 0.66 |
| 0.8329 | 4.0 | 452 | 0.8807 | 0.76 |
| 0.5047 | 5.0 | 565 | 0.9421 | 0.73 |
| 0.4525 | 6.0 | 678 | 0.7879 | 0.73 |
| 0.5111 | 7.0 | 791 | 0.6493 | 0.79 |
| 0.1836 | 8.0 | 904 | 0.5938 | 0.85 |
| 0.1806 | 9.0 | 1017 | 0.5787 | 0.84 |
| 0.1338 | 10.0 | 1130 | 0.6608 | 0.81 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 25, 2023
- Updated
- Aug 25, 2023