Downloads · 30 days
2
18% of all-time downloads
blink-en-tiny-whisper
nurzhanit/blink-en-tiny-whisper
blink-en-tiny-whisper is a machine learning model from nurzhanit. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
All-time downloads
11
Public
Parameters
37.8M
151 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors151 MB · 99%
At a glance
- Model type
- whisper
- Access
- Public
- Created
- Dec 10, 2024
- Updated
- Dec 10, 2024
- SHA
- d65a3c41
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 Small Hi - Sanchit Gandhi
This model is a fine-tuned version of nurzhanit/whisper-enhanced-ml on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
- Wer: 35.6229
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.2948 | 0.2688 | 50 | 2.0785 | 12.9293 |
| 1.4104 | 0.5376 | 100 | 1.1845 | 2.6263 |
| 0.5806 | 0.8065 | 150 | 0.3972 | 24.0404 |
| 0.0701 | 1.0753 | 200 | 0.0263 | 48.0471 |
| 0.0023 | 1.3441 | 250 | 0.0012 | 39.2593 |
| 0.0006 | 1.6129 | 300 | 0.0005 | 39.8653 |
| 0.0004 | 1.8817 | 350 | 0.0004 | 31.7508 |
| 0.0003 | 2.1505 | 400 | 0.0003 | 32.7609 |
| 0.0002 | 2.4194 | 450 | 0.0002 | 34.6801 |
| 0.0002 | 2.6882 | 500 | 0.0002 | 31.4141 |
| 0.0002 | 2.9570 | 550 | 0.0002 | 38.2155 |
| 0.0001 | 3.2258 | 600 | 0.0001 | 33.6364 |
| 0.0001 | 3.4946 | 650 | 0.0001 | 36.2290 |
| 0.0001 | 3.7634 | 700 | 0.0001 | 35.7239 |
| 0.0001 | 4.0323 | 750 | 0.0001 | 34.9158 |
| 0.0001 | 4.3011 | 800 | 0.0001 | 37.2727 |
| 0.0001 | 4.5699 | 850 | 0.0001 | 35.2862 |
| 0.0001 | 4.8387 | 900 | 0.0001 | 35.5892 |
| 0.0001 | 5.1075 | 950 | 0.0001 | 34.9158 |
| 0.0001 | 5.3763 | 1000 | 0.0001 | 35.6229 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.2
- Tokenizers 0.19.1
- Type
- whisper
- Languages
- hi
- Created
- Dec 10, 2024
- Updated
- Dec 10, 2024