Upload folder using huggingface_hub

README.md

@@ -22,7 +22,7 @@ model-index:
       type: google/fleurs
     metrics:
     - type: wer
-      value: 92.2%
+      value: 80.2%
       name: test
   - task:
       type: automatic-speech-recognition
@@ -32,7 +32,7 @@ model-index:
       type: openslr/openslr
     metrics:
     - type: wer
-      value: 70.6%
+      value: 63.2%
       name: test
 ---
 
@@ -42,8 +42,8 @@ This model was converted to MLX format from [`openai-whisper-tiny`](https://gith
 - [seanghay/km-speech-corpus](https://huggingface.com/datasets/seanghay/km-speech-corpus)
 
 It achieves the following __word error rate__ (`wer`) on 2 popular datasets:
-- 92.2% on `test` split of [google/fleurs](https://huggingface.co/datasets/google/fleurs) `km-kh`
-- 70.6% on `train` split of [openslr/openslr](https://huggingface.co/datasets/openslr/openslr) `SLR42`
+- 80.2% on `test` split of [google/fleurs](https://huggingface.co/datasets/google/fleurs) `km-kh`
+- 63.2% on `train` split of [openslr/openslr](https://huggingface.co/datasets/openslr/openslr) `SLR42`
 
 __NOTE__ MLX format is usable for M-chip series of Apple.
 

weights.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2d8c22108b14a8abc00b4a811d1180fc561146ef8e0a882c1bd493c70736a57f
+oid sha256:e26244922fa77b537e3c2980c4f980726b31b1c7404cf26841d1d9be0732250e
 size 148755675