Whisper Base Hindi
This model is a fine-tuned version of bangla-speech-processing/BanglaASR on the mozilla-foundation/common_voice_16_0 bn dataset. It achieves the following results on the evaluation set:
- Loss: 0.1281
- Wer: 3.7265
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-07
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1588 | 0.5 | 50 | 0.1495 | 3.7650 |
| 0.1267 | 1.0 | 100 | 0.1281 | 3.7265 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0
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Model tree for arun100/whisper-small-derived-bn-1
Base model
bangla-speech-processing/BanglaASRDataset used to train arun100/whisper-small-derived-bn-1
Evaluation results
- Wer on mozilla-foundation/common_voice_16_0 bntest set self-reported3.727