Update README.md

README.md

@@ -2,30 +2,27 @@
 language:
 - ko
 license: apache-2.0
-base_model: openai/whisper-small
+base_model: openai/whisper-tiny
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
 datasets:
 - haseong8012/child-50k
 model-index:
-- name: whisper-small_child-50k2
+- name: whisper_compare/whisper-small_child-50k2/checkpoint-8000
   results: []
-metrics:
-- wer
-- cer
 ---
 
 <!-- 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-small-fineTuned_By_korean-child-command-voice_train-0-10000_smaplingRate-16000-aag-test1
+# whisper_compare/whisper-small_child-50k2/checkpoint-8000
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the haseong8012/child-50k dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the haseong8012/child-50k dataset.
 
-- eval_loss: 0.01577906496822834
-- eval_cer: 0.5696816412724527
-- eval_wer: 1.2814293799013663
+- loss: 0.01577906496822834
+- wer: 1.2814293799013663
+- cer: 0.5696816412724527
 
 ## Model description
 
@@ -44,7 +41,18 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-
+- learning_rate: 3.75e-05
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
 
 ### Framework versions
 
+- Transformers 4.34.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.5
+- Tokenizers 0.14.1