End of training

README.md

@@ -1,21 +1,35 @@
 ---
-license: apache-2.0
-base_model: openai/whisper-tiny
+language:
+- eng
+base_model: openai/whisper-small-2000
 tags:
 - generated_from_trainer
+datasets:
+- Kaggle/transcription_audio
 metrics:
 - wer
 model-index:
-- name: whisper-tiny-2000
-  results: []
+- name: Whisper Small Eng - noursene
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: medical audio trascription
+      type: Kaggle/transcription_audio
+      args: 'config: eng'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 10.536550234065539
 ---
 
 <!-- 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-tiny-2000
+# Whisper Small Eng - noursene
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-small-2000](https://huggingface.co/openai/whisper-small-2000) on the medical audio trascription dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1612
 - Wer: 10.5366