End of training

README.md

@@ -1,39 +1,42 @@
 ---
+language:
+- zh
 license: apache-2.0
 base_model: xmzhu/whisper-tiny-zh
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_16_0
+- mozilla-foundation/common_voice_16_0
 metrics:
 - wer
 model-index:
-- name: xmzhu/whisper-tiny-zh
+- name: Whisper Base Chinese-Mandarin
   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 zh-CN
+      type: mozilla-foundation/common_voice_16_0
       config: zh-CN
       split: test
       args: zh-CN
     metrics:
     - name: Wer
       type: wer
-      value: 91.15267507612005
+      value: 91.12657677250978
 ---
 
 <!-- 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. -->
 
-# xmzhu/whisper-tiny-zh
+# Whisper Base Chinese-Mandarin
 
-This model is a fine-tuned version of [xmzhu/whisper-tiny-zh](https://huggingface.co/xmzhu/whisper-tiny-zh) on the common_voice_16_0 dataset.
+This model is a fine-tuned version of [xmzhu/whisper-tiny-zh](https://huggingface.co/xmzhu/whisper-tiny-zh) on the mozilla-foundation/common_voice_16_0 zh-CN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5744
-- Wer: 91.1527
+- Loss: 0.5759
+- Wer: 91.1266
 
 ## Model description
 

all_results.json

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+}

eval_results.json

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+}

runs/Apr21_23-18-57_ip-172-31-23-125/events.out.tfevents.1713748612.ip-172-31-23-125.1270.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:969140fd5a75b1dc815fdf24a8e1addb8d39558daa30c3a1f5914c303c09b3c7
+size 406

train_results.json

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+}

trainer_state.json

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