update model card README.md

README.md

@@ -1,33 +1,12 @@
 ---
-language: nl
 license: apache-2.0
 tags:
-- whisper-event
-- hf-asr-leaderboard
-- generated_from_multiple_datasets
-datasets:
-- mozilla-foundation/common_voice_11_0
+- generated_from_trainer
 metrics:
 - wer
-- cer
 model-index:
 - name: whisper-base-nl-1
-  results:
-  - task:
-      type: automatic-speech-recognition
-      name: Automatic Speech Recognition
-    dataset:
-      name: Common Voice 11.0
-      type: mozilla-foundation/common_voice_11_0
-      config: nl
-      split: test
-    metrics:
-    - type: wer
-      value: 65.03367658198047
-      name: Wer
-    - type: cer
-      value: 33.79753074983955
-      name: Cer
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -37,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3978
-- Wer: 65.0337
-- Cer: 33.7975
+- Loss: 0.8341
+- Wer: 41.8654
+- Cer: 16.8835
 
 ## Model description
 
@@ -65,7 +44,7 @@ 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: 3
+- training_steps: 150
 - mixed_precision_training: Native AMP
 
 ### Training results