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README.md

@@ -3,19 +3,28 @@ license: cc-by-nc-4.0
 base_model: facebook/mms-300m
 tags:
 - generated_from_trainer
+datasets:
+- common_voice_13_0
 metrics:
 - wer
 model-index:
-- name: mms-300m-sah
-  results: []
+- name: mms-300m-sakha
+  results:
+    - task:
+        name: Automatic Speech Recognition
+        type: automatic-speech-recognition
+      dataset:
+        name: Common Voice 13.0
+        type: common_voice_13_0
+      metrics:
+        - name: Wer
+          type: wer
+          value: 0.3059
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+# mms-300m-sakha
 
-# mms-300m-sah
-
-This model is a fine-tuned version of [facebook/mms-300m](https://huggingface.co/facebook/mms-300m) on the None dataset.
+This model is a fine-tuned version of [facebook/mms-300m](https://huggingface.co/facebook/mms-300m) on the common_voice_13_0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3105
 - Wer: 0.3059
@@ -151,7 +160,6 @@ The following hyperparameters were used during training:
 | 0.0181        | 99.0  | 10989 | 0.3093          | 0.3044 |
 | 0.0161        | 100.0 | 11100 | 0.3105          | 0.3059 |
 
-
 ### Framework versions
 
 - Transformers 4.32.0