End of training

README.md

@@ -8,9 +8,24 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_17_0
+metrics:
+- wer
 model-index:
 - name: simrank14 Whisper small valDN
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      config: mr
+      split: test
+      args: mr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 5.283431496806581
 ---
 
 <!-- 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. -->
 # simrank14 Whisper small valDN
 
 This model is a fine-tuned version of [simran14/mr-val-c](https://huggingface.co/simran14/mr-val-c) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2262
+- Wer: 5.2834
 
 ## Model description
 
@@ -49,6 +67,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.0155        | 0.5076 | 100  | 0.2410          | 5.8898 |
+| 0.0198        | 1.0152 | 200  | 0.2245          | 5.9147 |
+| 0.0139        | 1.5228 | 300  | 0.2262          | 5.2834 |
 
 
 ### Framework versions