Downloads · 30 days
4
5% of all-time downloads
S1_M1_R2_Wav2Vec_42738111
alirzb/S1_M1_R2_Wav2Vec_42738111
S1_M1_R2_Wav2Vec_42738111 is a audio classification model from alirzb. 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
75
Public
Parameters
94.6M
1.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors378 MB · 100%
At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jan 9, 2024
- Updated
- Jan 9, 2024
- SHA
- 830a5e52
Base models
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. -->
S1_M1_R2_Wav2Vec_42738111
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0102
- Accuracy: 0.9981
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: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0096 | 1.0 | 309 | 0.0518 | 0.9866 |
| 0.0012 | 2.0 | 619 | 0.0217 | 0.9952 |
| 0.0007 | 3.0 | 929 | 0.0264 | 0.9942 |
| 0.0005 | 4.0 | 1239 | 0.0085 | 0.9981 |
| 0.0004 | 4.99 | 1545 | 0.0102 | 0.9981 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jan 9, 2024
- Updated
- Jan 9, 2024