Model save

README.md

@@ -1,42 +1,39 @@
 ---
-language:
-- ml
 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 Malayalam - base
+- name: breeze-dsw-base-ml
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: mozilla-foundation/common_voice_16_0 ml
-      type: mozilla-foundation/common_voice_16_0
+      name: common_voice_16_0
+      type: common_voice_16_0
       config: ml
       split: test
       args: ml
     metrics:
     - name: Wer
       type: wer
-      value: 42.72474513438369
+      value: 44.21686746987952
 ---
 
 <!-- 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 Malayalam - base
+# breeze-dsw-base-ml
 
-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 ml 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: 0.6260
-- Wer: 42.7247
+- Loss: 0.7354
+- Wer: 44.2169
 
 ## Model description
 

runs/Jan17_16-47-28_knight/events.out.tfevents.1705506512.knight.133326.0

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+size 5818

training_args.bin

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