Model save

README.md

@@ -1,23 +1,21 @@
 ---
-language:
-- dv
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_13_0
+- audiofolder
 metrics:
 - wer
 model-index:
-- name: custom_data_test
+- name: test-model
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: Common Voice 13
-      type: mozilla-foundation/common_voice_13_0
+      name: audiofolder
+      type: audiofolder
       config: custom_data
       split: test
       args: custom_data
@@ -30,9 +28,9 @@ model-index:
 <!-- 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. -->
 
-# custom_data_test
+# test-model
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.1513
 - Wer Ortho: 8.3333