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whisper-large-v2-nob

Automatic Speech Recognition

Inference Endpoints

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pere commited on Dec 16, 2022

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74e5b4e

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readme

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README.md +3 -3

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@@ -33,7 +33,7 @@ model-index:
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) trained on several datasets.
-It is currently in the middle of a large training. Currently achieves the following results on the evaluation set:
 - Loss: 0.2751
 - Wer: 11.91
@@ -58,9 +58,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 1000
 - training_steps: 50.000 (currently @1.000)
 - mixed_precision_training: fp16
-- deepspee: true
-### Training results
 See [Tensorboad Metrics](https://huggingface.co/NbAiLab/whisper-large-v2-nob/tensorboard)

 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) trained on several datasets.
+It is currently in the middle of a large training. Currently it achieves the following results on the evaluation set:
 - Loss: 0.2751
 - Wer: 11.91
 - lr_scheduler_warmup_steps: 1000
 - training_steps: 50.000 (currently @1.000)
 - mixed_precision_training: fp16
+- deepspeed: true
+### Live Training results
 See [Tensorboad Metrics](https://huggingface.co/NbAiLab/whisper-large-v2-nob/tensorboard)