Downloads · 30 days
10
10% of all-time downloads
whisper-small-diff-wo-continuous-ls-diff-enc-fsc-v1
gokulsrinivasagan/whisper-small-diff-wo-continuous-ls-diff-enc-fsc-v1
whisper-small-diff-wo-continuous-ls-diff-enc-fsc-v1 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
98
Public
Parameters
88.4M
1.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors353 MB · 100%
At a glance
- Task
- Audio Classification
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Mar 2, 2026
- Updated
- Mar 3, 2026
- SHA
- 80b80635
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. -->
whisper-small-diff-wo-continuous-ls-diff-enc-fsc-v1
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3307
- Accuracy: 0.8927
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adamw_torch_fused 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 723 | 0.7747 | 0.6784 |
| 1.0473 | 2.0 | 1446 | 0.5216 | 0.8091 |
| 0.5465 | 3.0 | 2169 | 0.4062 | 0.8463 |
| 0.5465 | 4.0 | 2892 | 0.3687 | 0.8719 |
| 0.3193 | 5.0 | 3615 | 0.3307 | 0.8927 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 3.5.0
- Tokenizers 0.22.1
- Task
- Audio Classification
- Library
- transformers
- Type
- whisper
- Created
- Mar 2, 2026
- Updated
- Mar 3, 2026