Downloads · 30 days
2
5% of all-time downloads
efik-whisper
offiongbassey/efik-whisper
efik-whisper is a automatic speech recognition model from offiongbassey. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
39
Public
Parameters
242M
967 MB 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
- Model type
- whisper
- Access
- Public
- Created
- Mar 10, 2026
- Updated
- Mar 10, 2026
- SHA
- f45cad77
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. -->
efik-whisper
This model is a fine-tuned version of offiongbassey/efik-asr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1576
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.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_steps: 500
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2799 | 0.4193 | 100 | 0.1487 |
| 0.2567 | 0.8386 | 200 | 0.1377 |
| 0.1838 | 1.2558 | 300 | 0.1434 |
| 0.1970 | 1.6751 | 400 | 0.1477 |
| 0.1627 | 2.0922 | 500 | 0.1550 |
| 0.1272 | 2.5115 | 600 | 0.1520 |
| 1.0981 | 2.9308 | 700 | 0.6144 |
| 0.1212 | 3.3480 | 800 | 0.1595 |
| 0.1055 | 3.7673 | 900 | 0.1635 |
| 0.0623 | 4.1845 | 1000 | 0.1671 |
| 0.0628 | 4.6038 | 1100 | 0.1620 |
| 0.0478 | 5.0210 | 1200 | 0.1571 |
| 0.0327 | 5.4403 | 1300 | 0.1598 |
| 0.0241 | 5.8595 | 1400 | 0.1576 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Created
- Mar 10, 2026
- Updated
- Mar 10, 2026