End of training

README.md

@@ -8,9 +8,24 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_16_1
+metrics:
+- wer
 model-index:
 - name: Whisper Small Canontese X v1
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_16_1
+      config: zh-HK
+      split: None
+      args: 'config: zh-HK, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 64.88730723606169
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,6 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Small Canontese X v1
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2938
+- Wer: 64.8873
 
 ## Model description
 
@@ -47,6 +65,15 @@ The following hyperparameters were used during training:
 - training_steps: 3000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.4921        | 0.6196 | 1000 | 0.3749          | 74.5848 |
+| 0.2181        | 1.2392 | 2000 | 0.3143          | 67.8529 |
+| 0.1652        | 1.8587 | 3000 | 0.2938          | 64.8873 |
+
+
 ### Framework versions
 
 - Transformers 4.44.2

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