FunPang/whisper-small-Cantonese-fine-tunet

README.md

@@ -1,11 +1,11 @@
 ---
-base_model: openai/whisper-small
 library_name: transformers
 license: apache-2.0
-metrics:
-- wer
+base_model: openai/whisper-small
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: whisper-small-Cantonese-fine-tune
   results: []
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-small-Cantonese-fine-tune
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.0590
-- Wer: 135.7143
+- Loss: 0.1843
+- Wer: 87.5
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer      |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0012        | 25.0  | 100  | 3.0590          | 135.7143 |
+| Training Loss | Epoch | Step | Validation Loss | Wer  |
+|:-------------:|:-----:|:----:|:---------------:|:----:|
+| 0.0003        | 25.0  | 100  | 0.1843          | 87.5 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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