End of training

README.md

@@ -3,7 +3,7 @@ library_name: transformers
 language:
 - ur
 license: apache-2.0
-base_model: openai/whisper-medium
+base_model: GogetaBlueMUI/whisper-medium-ur
 tags:
 - generated_from_trainer
 datasets:
@@ -11,7 +11,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: Whisper Medium Ur - Muhammad Abdullah on Common Voice 19
+- name: Whisper V3 Medium Ur - Muhammad Abdullah on Common Voice 19
   results:
   - task:
       name: Automatic Speech Recognition
@@ -25,18 +25,18 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 27.436532922499836
+      value: 28.60428249268761
 ---
 
 <!-- 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 Medium Ur - Muhammad Abdullah on Common Voice 19
+# Whisper V3 Medium Ur - Muhammad Abdullah on Common Voice 19
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 19.0 dataset.
+This model is a fine-tuned version of [GogetaBlueMUI/whisper-medium-ur](https://huggingface.co/GogetaBlueMUI/whisper-medium-ur) on the Common Voice 19.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4155
-- Wer: 27.4365
+- Loss: 0.4501
+- Wer: 28.6043
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.2581        | 0.5568 | 250  | 0.4433          | 31.1608 |
-| 0.1025        | 1.1136 | 500  | 0.4155          | 27.4365 |
+| 0.1164        | 0.5568 | 250  | 0.4771          | 29.1714 |
+| 0.0553        | 1.1136 | 500  | 0.4501          | 28.6043 |
 
 
 ### Framework versions