Downloads · 30 days
15
4% of all-time downloads
FIFA_WC22_WINNER_LANGUAGE_MODEL
AlexMo/FIFA_WC22_WINNER_LANGUAGE_MODEL
FIFA_WC22_WINNER_LANGUAGE_MODEL is a automatic speech recognition model from AlexMo. 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-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set: - Loss: 0.2588 - Wer: 14.2619
All-time downloads
334
Public
Repo size
2.9 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin967 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 6, 2022
- Updated
- Dec 9, 2022
- SHA
- 1143bc3a
Spaces
Model card
From the Hugging Face model README
whisper-lt-finetune
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2588
- Wer: 14.2619
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: 250
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0783 | 1.3 | 1000 | 0.2478 | 15.5647 |
| 0.0287 | 2.6 | 2000 | 0.2441 | 14.3765 |
| 0.0087 | 3.9 | 3000 | 0.2516 | 14.3349 |
| 0.0021 | 5.19 | 4000 | 0.2588 | 14.2619 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- nl
- Created
- Dec 6, 2022
- Updated
- Dec 9, 2022