update model card README.md

README.md

@@ -1,40 +1,24 @@
 ---
-language:
-- vi
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
-datasets:
-- vivos
 metrics:
 - wer
 model-index:
-- name: Whisper Small Vi - Duy Ta
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Vivos
-      type: vivos
-      config: None
-      split: None
-    metrics:
-    - name: Wer
-      type: wer
-      value: 21.8855
+- name: vi_whisper-small
+  results: []
 ---
 
 <!-- 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. -->
 
-# Whisper Small Vi - Duy Ta
+# vi_whisper-small
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Vivos dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3187
-- Wer: 21.8855
+- Wer: 27.3634
 
 ## Model description
 
@@ -46,8 +30,7 @@ More information needed
 
 ## Training and evaluation data
 
-I use Vivos and Common Voice processed and downsampling to 16khz for training set
-At evaluation phase, eval dataset of Vivos was used
+More information needed
 
 ## Training procedure
 
@@ -82,4 +65,4 @@ The following hyperparameters were used during training:
 - Transformers 4.31.0.dev0
 - Pytorch 2.0.1+cu117
 - Datasets 2.13.1
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3