End of training

README.md

@@ -8,16 +8,18 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_17_0
+- mozilla-foundation/common_voice_16_1
+- mozilla-foundation/common_voice_16_0
 metrics:
 - wer
 model-index:
-- name: Whisper Small Canontese X v2
+- name: Whisper Small Canontese X v3
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: Common Voice 16.1 and 17.0
+      name: Common Voice 16.0
       type: mozilla-foundation/common_voice_17_0
       config: yue
       split: None
@@ -25,18 +27,38 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 54.825384904243336
+      value: 55.631920580374185
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 16.1
+      type: mozilla-foundation/common_voice_16_1
+    metrics:
+    - name: Wer
+      type: wer
+      value: 55.631920580374185
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_16_0
+    metrics:
+    - name: Wer
+      type: wer
+      value: 55.631920580374185
 ---
 
 <!-- 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 Canontese X v2
+# Whisper Small Canontese X v3
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 and 17.0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.0, the Common Voice 16.1 and the Common Voice 17.0 datasets.
 It achieves the following results on the evaluation set:
-- Loss: 0.2264
-- Wer: 54.8254
+- Loss: 0.2650
+- Wer: 55.6319
 
 ## Model description
 
@@ -69,9 +91,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.2578        | 0.6954 | 1000 | 0.2680          | 61.4345 |
-| 0.0892        | 1.3908 | 2000 | 0.2376          | 57.3789 |
-| 0.0295        | 2.0862 | 3000 | 0.2264          | 54.8254 |
+| 0.0845        | 0.7087 | 1000 | 0.2773          | 61.5120 |
+| 0.0285        | 1.4174 | 2000 | 0.2697          | 56.7010 |
+| 0.0102        | 2.1262 | 3000 | 0.2650          | 55.6319 |
 
 
 ### Framework versions