whisper-base-sw-common-voice
This model is a fine-tuned version of openai/whisper-base on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6719
- Wer: 47.4378
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: 4
- eval_batch_size: 4
- 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.701 | 0.11 | 1000 | 0.8962 | 59.3501 |
| 0.7017 | 0.22 | 2000 | 0.7536 | 52.9887 |
| 0.541 | 0.33 | 3000 | 0.6957 | 47.0676 |
| 0.4735 | 0.43 | 4000 | 0.6719 | 47.4378 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for smutuvi/whisper-base-sw-common-voice
Base model
openai/whisper-base