Model save

README.md

@@ -1,42 +1,39 @@
 ---
-language:
-- te
 license: apache-2.0
 base_model: openai/whisper-base
 tags:
-- whisper-event
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_16_0
+- common_voice_16_0
 metrics:
 - wer
 model-index:
-- name: Breeze DSW Telugu - base
+- name: breeze-listen-dsw-base-te
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: mozilla-foundation/common_voice_16_0 te
-      type: mozilla-foundation/common_voice_16_0
+      name: common_voice_16_0
+      type: common_voice_16_0
       config: te
       split: test
       args: te
     metrics:
     - name: Wer
       type: wer
-      value: 89.28571428571429
+      value: 90.65934065934066
 ---
 
 <!-- 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. -->
 
-# Breeze DSW Telugu - base
+# breeze-listen-dsw-base-te
 
-This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_16_0 te dataset.
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice_16_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0469
-- Wer: 89.2857
+- Loss: 2.2441
+- Wer: 90.6593
 
 ## Model description
 

runs/Jan18_11-47-34_knight/events.out.tfevents.1705574914.knight.158764.0

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training_args.bin

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