update model card README.md

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - common_voice_13_0
+metrics:
+- wer
 model-index:
 - name: wav2vec2-large-mms-1b-korean-colab
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: ko
+      split: test
+      args: ko
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.9969788519637462
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-large-mms-1b-korean-colab
 
 This model is a fine-tuned version of [facebook/mms-1b-l1107](https://huggingface.co/facebook/mms-1b-l1107) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.6168
+- Wer: 0.9970
 
 ## Model description
 
@@ -41,10 +59,13 @@ 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: 100
-- num_epochs: 2
+- num_epochs: 8
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 5.7376        | 5.26  | 100  | 6.6168          | 0.9970 |
 
 
 ### Framework versions