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whisper-small-yoruba-07-15
ccibeekeoc42/whisper-small-yoruba-07-15
whisper-small-yoruba-07-15 is a automatic speech recognition model from ccibeekeoc42. 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. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jul 16, 2024
- Updated
- Jul 16, 2024
- SHA
- e0e6ccfc
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-yoruba-07-15
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4112
- Wer Ortho: 68.9201
- Wer: 61.9420
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.7803 | 0.0805 | 250 | 0.9028 | 78.2451 | 72.5162 |
| 0.5693 | 0.1610 | 500 | 0.7365 | 85.1996 | 82.5191 |
| 0.504 | 0.2415 | 750 | 0.6444 | 73.1001 | 69.8969 |
| 0.463 | 0.3220 | 1000 | 0.5931 | 78.2923 | 71.3930 |
| 0.4036 | 0.4024 | 1250 | 0.5471 | 68.4638 | 62.0921 |
| 0.3496 | 0.4829 | 1500 | 0.5171 | 73.5459 | 71.9933 |
| 0.3346 | 0.5634 | 1750 | 0.4908 | 67.8109 | 65.7669 |
| 0.34 | 0.6439 | 2000 | 0.4612 | 70.3336 | 65.5394 |
| 0.3153 | 0.7244 | 2250 | 0.4380 | 66.8799 | 60.1118 |
| 0.3061 | 0.8049 | 2500 | 0.4228 | 67.9499 | 60.2982 |
| 0.2877 | 0.8854 | 2750 | 0.4164 | 67.9735 | 59.7051 |
| 0.2892 | 0.9659 | 3000 | 0.4112 | 68.9201 | 61.9420 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jul 16, 2024
- Updated
- Jul 16, 2024