Whisper-fineTuning-malayalam
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4138
- Wer: 68.7356
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: 12
- 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0099 | 1.88 | 1000 | 0.3563 | 69.6552 |
| 0.0046 | 3.77 | 2000 | 0.3860 | 70.1149 |
| 0.001 | 5.65 | 3000 | 0.4105 | 70.3448 |
| 0.0001 | 7.53 | 4000 | 0.4138 | 68.7356 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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Dataset used to train 5p33ch3xpr/Whisper-fineTuning-malayalam
Evaluation results
- Wer on mozilla-foundation/common_voice_11_0test set self-reported68.736