Whisper Medium TH - Common Voice 17
This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2987
- Wer: 81.6069
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: 125
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5323 | 0.6083 | 250 | 0.4352 | 91.2683 |
| 0.2568 | 1.2165 | 500 | 0.3432 | 87.1514 |
| 0.2126 | 1.8248 | 750 | 0.3047 | 83.3333 |
| 0.0974 | 2.4331 | 1000 | 0.2987 | 81.6069 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for nonhmello/whisper_medium_th_common_voice_17
Base model
openai/whisper-mediumEvaluation results
- Wer on mozilla-foundation/common_voice_17_0self-reported81.607