google/fleurs
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How to use MHassaanButt/whisper-medium-ps with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="MHassaanButt/whisper-medium-ps") # Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("MHassaanButt/whisper-medium-ps")
model = AutoModelForSpeechSeq2Seq.from_pretrained("MHassaanButt/whisper-medium-ps")This model is a fine-tuned version of openai/whisper-medium on the fleurs 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 |
|---|---|---|---|---|
| 0.2231 | 2.92 | 1000 | 0.6001 | 43.4720 |
| 0.0246 | 5.85 | 2000 | 0.7702 | 42.8571 |
| 0.0016 | 8.77 | 3000 | 0.8807 | 41.0354 |
| 0.0004 | 11.7 | 4000 | 0.9188 | 40.4661 |