Downloads · 30 days
28
6% of all-time downloads
whisper-small-tamil
steja/whisper-small-tamil
whisper-small-tamil is a automatic speech recognition model from steja. 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
507
Public
Repo size
4.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt1.9 GB · 67%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 8, 2022
- Updated
- Dec 20, 2022
- SHA
- eb8e84c6
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-small-tamil
This model is a fine-tuned version of openai/whisper-small on the google/fleurs dataset for Tamil. It achieves the following results on the evaluation set:
- Loss: 0.42
- Wer: 15.02
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0882 | 2.27 | 500 | 0.2674 | 16.7354 |
| 0.0026 | 11.76 | 1000 | 0.3508 | 15.3720 |
| 0.0012 | 17.64 | 1500 | 0.3920 | 15.6156 |
| 0.0009 | 23.53 | 2000 | 0.4076 | 15.4284 |
| 0.0002 | 29.41 | 2500 | 0.4268 | 15.0215 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ta
- Created
- Dec 8, 2022
- Updated
- Dec 20, 2022