Downloads · 30 days
6
2% of all-time downloads
whisper-medium-et
agnesluhtaru/whisper-medium-et
whisper-medium-et is a automatic speech recognition model from agnesluhtaru. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of openai/whisper-medium on the following datasets: Common Voice 11, VoxPopuli and FLEURS.
All-time downloads
301
Public
Repo size
15.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin3.1 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 13, 2022
- Updated
- Dec 21, 2022
- SHA
- 40477044
Model card
From the Hugging Face model README
whisper-medium-et
This model is a fine-tuned version of openai/whisper-medium on the following datasets: Common Voice 11, VoxPopuli and FLEURS.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
Estonian data from Common Voice 11, VoxPopuli and FLEURS corpora as both training and validation sets. Tested on Common Voice 11 test set.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- 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
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.12.1+rocm5.1.1
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Dec 13, 2022
- Updated
- Dec 21, 2022