End of training

README.md

@@ -7,18 +7,18 @@ base_model: openai/whisper-medium
 tags:
 - generated_from_trainer
 datasets:
-- Alsman68/CapstoneDataset2
+- Alsman68/CapstoneDataset3
 metrics:
 - wer
 model-index:
-- name: capstone-whisper-all-training-data
+- name: capstone-whisper-final-training-data
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: Simulated Aviation Audio For Capstone, All Training Data
-      type: Alsman68/CapstoneDataset2
+      name: Simulated Aviation Audio For Capstone, Final Training Data
+      type: Alsman68/CapstoneDataset3
       args: 'config: en, split: test'
     metrics:
     - name: Wer
@@ -29,9 +29,9 @@ 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. -->
 
-# capstone-whisper-all-training-data
+# capstone-whisper-final-training-data
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Simulated Aviation Audio For Capstone, All Training Data dataset.
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Simulated Aviation Audio For Capstone, Final Training Data dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0000
 - Wer: 0.0565