Whisper Small MN - Ankhbayasgalan Davaadorj
This model is a fine-tuned version of openai/whisper-large-v3 on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5096
- Wer: 67.8416
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: 8
- 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: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0832 | 3.94 | 1000 | 0.3988 | 73.6211 |
| 0.0051 | 7.87 | 2000 | 0.4563 | 66.0654 |
| 0.0004 | 11.81 | 3000 | 0.5096 | 67.8416 |
Framework versions
- Transformers 4.37.2
- Pytorch 1.12.1+cu116
- Datasets 2.17.0
- Tokenizers 0.15.2
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Base model
openai/whisper-large-v3