End of training

README.md

@@ -2,12 +2,12 @@
 language:
 - ko
 license: apache-2.0
+base_model: openai/whisper-large
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
-base_model: openai/whisper-large
 datasets:
-- gingercake01/240527STT_audio_noise_2930samples
+- gingercake01/0528_1000freetalksamplewithnoise
 model-index:
 - name: largeWhisper_finetuned_with_noise
   results: []
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # largeWhisper_finetuned_with_noise
 
-This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the 240527STT_audio_noise_2930samples dataset.
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the 1000freetalksample dataset.
 
 ## Model description
 
@@ -38,7 +38,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 8
+- train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08

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