End of training

README.md

@@ -1,19 +1,41 @@
 ---
+language:
+- yue
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_0
+metrics:
+- wer
 model-index:
-- name: whisper-small-cantonese_26-04-2024-1713
-  results: []
+- name: Whisper Small Cantanese
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 16.0
+      type: mozilla-foundation/common_voice_16_0
+      config: yue
+      split: None
+      args: 'config: yue, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 62.619320351279114
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# whisper-small-cantonese_26-04-2024-1713
+# Whisper Small Cantanese
 
-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 Common Voice 16.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2760
+- Wer: 62.6193
 
 ## Model description
 
@@ -44,6 +66,13 @@ The following hyperparameters were used during training:
 - training_steps: 500
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.2869        | 0.7087 | 500  | 0.2760          | 62.6193 |
+
+
 ### Framework versions
 
 - Transformers 4.40.1