Downloads · 30 days
7
19% of all-time downloads
whisper-tiny
luluw/whisper-tiny
whisper-tiny is a automatic speech recognition model from luluw. 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
37
Public
Parameters
37.8M
10.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors151 MB · 99%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Oct 4, 2024
- Updated
- Oct 4, 2024
- SHA
- 01c83074
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. -->
Whisper Tiny
This model is a fine-tuned version of openai/whisper-tiny on the Personal - Mimic Recording dataset. It achieves the following results on the evaluation set:
- Loss: 0.3751
- Wer: 0.1311
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5941 | 1.0 | 293 | 0.4660 | 0.2291 |
| 0.2868 | 2.0 | 586 | 0.4858 | 0.2960 |
| 0.1692 | 3.0 | 879 | 0.4274 | 0.2219 |
| 0.0971 | 4.0 | 1172 | 0.4568 | 0.2014 |
| 0.0562 | 5.0 | 1465 | 0.4665 | 0.1820 |
| 0.0291 | 6.0 | 1758 | 0.4346 | 0.1801 |
| 0.0124 | 7.0 | 2051 | 0.3950 | 0.1456 |
| 0.0024 | 8.0 | 2344 | 0.3777 | 0.1359 |
| 0.0006 | 9.0 | 2637 | 0.3756 | 0.1323 |
| 0.0002 | 10.0 | 2930 | 0.3751 | 0.1311 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Oct 4, 2024
- Updated
- Oct 4, 2024