update model card README.md

README.md

@@ -5,25 +5,11 @@ license: apache-2.0
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
-datasets:
-- mozilla-foundation/common_voice_11_0
 metrics:
 - wer
 model-index:
 - name: Whisper Small - Swedish
-  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
-    metrics:
-    - name: Wer
-      type: wer
-      value: 19.655292947218413
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.3258
-- Wer: 19.6553
+- Loss: 0.3700
+- Wer: 20.2173
 
 ## Model description
 
@@ -62,7 +48,7 @@ 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: 4000
+- training_steps: 6000
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -71,6 +57,8 @@ The following hyperparameters were used during training:
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
 | 0.048         | 2.59  | 2000 | 0.2925          | 20.3893 |
 | 0.0045        | 5.18  | 4000 | 0.3258          | 19.6553 |
+| 0.0054        | 6.48  | 5000 | 0.3613          | 20.3087 |
+| 0.0028        | 7.77  | 6000 | 0.3700          | 20.2173 |
 
 
 ### Framework versions