mozilla-foundation/common_voice_17_0
Updated • 6.1k • 18
How to use simran14/small_8_17f with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="simran14/small_8_17f") # Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("simran14/small_8_17f")
model = AutoModelForSpeechSeq2Seq.from_pretrained("simran14/small_8_17f")This model is a fine-tuned version of simran14/small_8_17e on the Common Voice 17.0 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 |
|---|---|---|---|---|
| 0.0071 | 4.0 | 1000 | 0.0392 | 4.0508 |
| 0.0001 | 8.0 | 2000 | 0.0436 | 4.1154 |
Base model
openai/whisper-small