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TurjoDutta5555
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Model Details
Model Provider
TurjoDutta5555
Model Tree
openai/whisper-small
Input Modalities
Output Modalities
Supported Functionality
This model is a fine-tuned Whisper Small model for Bengali Automatic Speech Recognition (ASR) using 15 dB SNR noisy speech data.
| Parameter | Value |
|---|---|
| Base Model | Whisper Small |
| Language | Bengali |
| Training Samples | 5,000 |
| Validation Samples | 500 |
| Sampling Rate | 16 kHz |
| Learning Rate | 1e-5 |
| Batch Size | 32 |
| Epochs | 10 |
| Step | Validation Loss | WER (%) | CER (%) |
|---|---|---|---|
| 100 | 0.6018 | 82.21 | 35.25 |
| 200 | 0.3004 | 71.96 | 26.54 |
| 300 | 0.2693 | 67.14 | 24.48 |
| 400 | 0.2851 | 64.73 | 23.89 |
| 500 |
Checkpoint-300 was selected as the final model because it achieved the lowest validation loss (0.2693). After step 300, validation loss began to increase while training loss continued to decrease, indicating the onset of overfitting. Therefore, checkpoint-300 was chosen to ensure better generalization performance.
| 0.3187 |
| 63.62 |
| 22.28 |