Whisper Small Hi - Sanchit Gandhi
This model is a fine-tuned version of femursmith/intermediate-asr-ashanti-twi on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0085
- Wer: 1.2365
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0035 | 0.6707 | 1000 | 0.0085 | 1.2365 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for femursmith/final-asr-ashanti-twi
Base model
openai/whisper-large-v3
Finetuned
openai/whisper-large-v3-turbo
Finetuned
femursmith/intermediate-asr-ashanti-twi