Model save

README.md

@@ -1,9 +1,7 @@
 ---
 base_model: openai/whisper-large-v3
 datasets:
-- Gabi00/english-mistakes
-language:
-- eng
+- audiofolder
 library_name: peft
 license: apache-2.0
 metrics:
@@ -11,29 +9,16 @@ metrics:
 tags:
 - generated_from_trainer
 model-index:
-- name: Whisper Small Eng - Gabriel Mora
-  results:
-  - task:
-      type: automatic-speech-recognition
-      name: Automatic Speech Recognition
-    dataset:
-      name: English-mistakes
-      type: Gabi00/english-mistakes
-      config: default
-      split: validation
-      args: 'config: eng, split: test'
-    metrics:
-    - type: wer
-      value: 12.326814527624153
-      name: Wer
+- name: whisper-v3-LoRA-en_students_test_2
+  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 Eng - Gabriel Mora
+# whisper-v3-LoRA-en_students_test_2
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the English-mistakes dataset.
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3590
 - Wer: 12.3268