FunPang/whisper-small-Cantonese-fine-tunet-bible-100

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-bible-100
   results: []
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.2585
-- Wer: 84.6154
+- Loss: 0.2886
+- 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     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0067        | 7.6923 | 100  | 0.2585          | 84.6154 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer  |
+|:-------------:|:------:|:----:|:---------------:|:----:|
+| 0.0077        | 7.6923 | 100  | 0.2886          | 87.5 |
 
 
 ### Framework versions

model.safetensors

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runs/Sep27_23-55-27_asus2/events.out.tfevents.1727506529.asus2.41524.0

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training_args.bin

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