Sagicc
/

whisper-large-v3-sr-cmb

Automatic Speech Recognition

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

Sagicc commited on Dec 2, 2023

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@@ -2,7 +2,7 @@
 language:
 - sr
 license: apache-2.0
-base_model: openai/whisper-medium
 tags:
 - generated_from_trainer
 datasets:
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Large v3 cmb
-This model is a fine-tuned version of [openai/whisper-larhe-v3](https://huggingface.co/openai/whisper-large-v3) on the Common Voice 13, Google Fleurs and juzne vesti dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1111
 - Wer Ortho: 0.1339

 language:
 - sr
 license: apache-2.0
+base_model: openai/whisper-large-v3
 tags:
 - generated_from_trainer
 datasets:
 # Whisper Large v3 cmb
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Common Voice 13, Google Fleurs and juzne vesti dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1111
 - Wer Ortho: 0.1339