update model card README.md

README.md

@@ -4,24 +4,9 @@ tags:
 - generated_from_trainer
 datasets:
 - common_voice
-metrics:
-- wer
 model-index:
 - name: wav2vec2-large-xls-r-300m-turkish-colab
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: common_voice
-      type: common_voice
-      config: tr
-      split: test
-      args: tr
-    metrics:
-    - name: Wer
-      type: wer
-      value: 0.5164947400674088
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,9 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-large-xls-r-300m-turkish-colab
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4866
-- Wer: 0.5165
 
 ## Model description
 
@@ -60,15 +42,10 @@ 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
-- num_epochs: 10
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 4.0176        | 3.33  | 400  | 1.0080          | 0.8303 |
-| 0.5978        | 6.67  | 800  | 0.5870          | 0.6240 |
-| 0.2233        | 10.0  | 1200 | 0.4866          | 0.5165 |
 
 
 ### Framework versions