Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use abdullah090809/whisper-medium-ur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdullah090809/whisper-medium-ur with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abdullah090809/whisper-medium-ur")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("abdullah090809/whisper-medium-ur") model = AutoModelForSpeechSeq2Seq.from_pretrained("abdullah090809/whisper-medium-ur", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Muhammad Abdullah commited on
End of training
Browse files
README.md
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language:
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- ur
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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model-index:
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- name: Whisper Medium Ur - Muhammad Abdullah on Common Voice 19
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results:
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- task:
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name: Automatic Speech Recognition
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metrics:
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type: wer
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value:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper Medium Ur - Muhammad Abdullah on Common Voice 19
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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### Framework versions
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language:
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- ur
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license: apache-2.0
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base_model: GogetaBlueMUI/whisper-medium-ur
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tags:
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- generated_from_trainer
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datasets:
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metrics:
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- wer
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model-index:
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- name: Whisper V3 Medium Ur - Muhammad Abdullah on Common Voice 19
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results:
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- task:
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name: Automatic Speech Recognition
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metrics:
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- name: Wer
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type: wer
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value: 28.60428249268761
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper V3 Medium Ur - Muhammad Abdullah on Common Voice 19
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This model is a fine-tuned version of [GogetaBlueMUI/whisper-medium-ur](https://huggingface.co/GogetaBlueMUI/whisper-medium-ur) on the Common Voice 19.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4501
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- Wer: 28.6043
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:-------:|
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| 0.1164 | 0.5568 | 250 | 0.4771 | 29.1714 |
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| 0.0553 | 1.1136 | 500 | 0.4501 | 28.6043 |
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### Framework versions
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