update model card README.md

README.md

@@ -7,9 +7,24 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_11_0
+metrics:
+- wer
 model-index:
 - name: Whisper Dutch - RTL
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: null
+      split: None
+      args: 'config: nl, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 24.924531584171586
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,6 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Dutch - RTL
 
 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: 0.1895
+- Wer: 24.9245
 
 ## Model description
 
@@ -45,10 +63,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 1
+- training_steps: 1000
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.1209        | 0.78  | 1000 | 0.1895          | 24.9245 |
 
 
 ### Framework versions