Downloads · 30 days
15
39% of all-time downloads
whisper-tiny_en
HeinrichWirth/whisper-tiny_en
whisper-tiny_en is a automatic speech recognition model from HeinrichWirth. 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
38
Public
Repo size
604 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin151 MB · 99%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Aug 23, 2023
- Updated
- Aug 23, 2023
- SHA
- cb700ad3
Base models
Datasets
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_en
This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6349
- Wer Ortho: 0.3964
- Wer: 0.3630
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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 300
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 3.8643 | 1.79 | 50 | 3.5786 | 0.5114 | 0.3714 |
| 2.4042 | 3.57 | 100 | 2.3266 | 0.4657 | 0.3689 |
| 1.4319 | 5.36 | 150 | 1.3619 | 0.4367 | 0.3702 |
| 0.7558 | 7.14 | 200 | 0.7935 | 0.4213 | 0.3721 |
| 0.524 | 8.93 | 250 | 0.6820 | 0.4078 | 0.3721 |
| 0.4702 | 10.71 | 300 | 0.6349 | 0.3964 | 0.3630 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Aug 23, 2023
- Updated
- Aug 23, 2023