Whisper Base myPin
This model is a fine-tuned version of openai/whisper-base on the Domain Based voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.0078
- Wer: 3.9216
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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0007 | 100.0 | 500 | 0.0086 | 3.9216 |
| 0.0003 | 200.0 | 1000 | 0.0079 | 3.9216 |
| 0.0002 | 300.0 | 1500 | 0.0078 | 3.9216 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for atulksingh/whisper-base-hi
Base model
openai/whisper-base