End of training

README.md

@@ -1,39 +1,42 @@
 ---
+language:
+- hi
 license: apache-2.0
 base_model: openai/whisper-base
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_16_0
+- mozilla-foundation/common_voice_16_0
 metrics:
 - wer
 model-index:
-- name: breeze-listen-dsw-base-hi
+- name: Breeze DSW Hindi - base
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_16_0
-      type: common_voice_16_0
+      name: mozilla-foundation/common_voice_16_0 hi
+      type: mozilla-foundation/common_voice_16_0
       config: hi
       split: test
       args: hi
     metrics:
     - name: Wer
       type: wer
-      value: 28.7949444323382
+      value: 28.50294181738941
 ---
 
 <!-- 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-listen-dsw-base-hi
+# Breeze DSW Hindi - base
 
-This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice_16_0 dataset.
+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 hi dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5381
-- Wer: 28.7949
+- Loss: 0.5205
+- Wer: 28.5029
 
 ## Model description
 

all_results.json

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eval_results.json

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+}

runs/Jan23_11-29-22_knight/events.out.tfevents.1706067579.knight.14713.1

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+oid sha256:1e1f8f7c1b99872bb95396223959cd171d8f5278d5bd2339791fe3f9a4f096a2
+size 406

train_results.json

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+}

trainer_state.json

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