Downloads · 30 days
9
17% of all-time downloads
2026-02-24_22-57-15
SatwikDutta/2026-02-24_22-57-15
2026-02-24_22-57-15 is a automatic speech recognition model from SatwikDutta. Use it when you need speech turned into text. 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
52
Public
Parameters
242M
1.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors967 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Feb 25, 2026
- Updated
- Feb 25, 2026
- SHA
- a19117f0
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. -->
2026-02-24_22-57-15
This model is a fine-tuned version of openai/whisper-small.en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2768
- Wer: 11.7841
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- 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_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.0793 | 0.1123 | 500 | 0.3269 | 12.3113 |
| 0.2697 | 0.2247 | 1000 | 0.3019 | 13.0615 |
| 0.2525 | 0.3370 | 1500 | 0.2933 | 12.5373 |
| 0.2553 | 0.4493 | 2000 | 0.2903 | 11.4227 |
| 0.2382 | 0.5617 | 2500 | 0.2855 | 11.5509 |
| 0.2397 | 0.6740 | 3000 | 0.2804 | 11.7325 |
| 0.2394 | 0.7863 | 3500 | 0.2768 | 11.7841 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Feb 25, 2026
- Updated
- Feb 25, 2026