Automatic Speech Recognition
Transformers
Safetensors
Portuguese
whisper
portuguese
speech
audio
synthetic-data
asr
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use yuriyvnv/whisper-tiny-mixed-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuriyvnv/whisper-tiny-mixed-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yuriyvnv/whisper-tiny-mixed-pt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yuriyvnv/whisper-tiny-mixed-pt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| step,checkpoint_path,eval_loss,wer,num_samples | |
| 50,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-50,1.3048021793365479,45.08248730964467,500 | |
| 100,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-100,0.9856841564178467,42.32233502538071,500 | |
| 150,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-150,0.7218750715255737,44.70177664974619,500 | |
| 200,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-200,0.6822263598442078,42.38578680203046,500 | |
| 250,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-250,0.6665040850639343,41.49746192893401,500 | |
| 300,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-300,0.6561912894248962,40.9263959390863,500 | |
| 350,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-350,0.6481809020042419,41.21192893401015,500 | |
| 400,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-400,0.6425471901893616,40.86294416243655,500 | |
| 450,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-450,0.6371253728866577,40.83121827411168,500 | |
| 500,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-500,0.6333833336830139,40.35532994923858,500 | |
| 550,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-550,0.6302631497383118,40.38705583756345,500 | |
| 600,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-600,0.6281207203865051,39.942893401015226,500 | |
| 650,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-650,0.6261495351791382,39.847715736040605,500 | |
| 700,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-700,0.624782145023346,39.65736040609137,500 | |
| 750,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-750,0.624022901058197,39.53045685279188,500 | |
| 800,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-800,0.6236469149589539,39.56218274111675,500 | |
| 810,/root/speech_transcript_embeddings/training_ASR/trained_models/whisper-tiny-mixed-pt/checkpoint-810,0.6236389875411987,39.56218274111675,500 | |