krishan23/indian_english
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How to use Tejveer12/whisper-finetuned with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="Tejveer12/whisper-finetuned") # Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("Tejveer12/whisper-finetuned")
model = AutoModelForSpeechSeq2Seq.from_pretrained("Tejveer12/whisper-finetuned")This model is a fine-tuned version of openai/whisper-large-v3-turbo on the indian english accent dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0425 | 2.6247 | 1000 | 0.1022 | 5.5246 |
| 0.0176 | 5.2493 | 2000 | 0.1252 | 5.5040 |
| 0.0038 | 7.8740 | 3000 | 0.1524 | 5.1433 |
| 0.0008 | 10.4987 | 4000 | 0.1628 | 4.3393 |
| 0.0003 | 13.1234 | 5000 | 0.1700 | 4.3908 |
Base model
openai/whisper-large-v3