Downloads · 30 days
7
13% of all-time downloads
hubert-base-ls960-speech-commands-v1-t_80
gokulsrinivasagan/hubert-base-ls960-speech-commands-v1-t_80
hubert-base-ls960-speech-commands-v1-t_80 is a audio classification model from gokulsrinivasagan. 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
53
Public
Parameters
94.6M
1.1 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
- hubert
- Access
- Public
- Created
- Oct 5, 2025
- Updated
- Oct 5, 2025
- SHA
- b11afbef
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. -->
hubert-base-ls960-speech-commands-v1-t_80
This model is a fine-tuned version of facebook/hubert-base-ls960 on the speech_commands dataset. It achieves the following results on the evaluation set:
- Loss: 1.6627
- Accuracy: 0.7900
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: 36
- eval_batch_size: 36
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 144
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9425 | 1.0 | 275 | 2.3790 | 0.6915 |
| 1.0407 | 2.0 | 550 | 1.7405 | 0.7729 |
| 0.9222 | 2.9900 | 822 | 1.6627 | 0.7900 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Oct 5, 2025
- Updated
- Oct 5, 2025