Update README.md

README.md

@@ -57,22 +57,6 @@ After that, we will check if it can perform scalable work through additional tra
 
 ## Evaluation
 
-Evaluation by 
-```
-from whisper_normalizer.basic import BasicTextNormalizer
-from evaluate import load
-
-normalizer = BasicTextNormalizer()
-cer_metric = load("cer")
-wer_metric = load("wer")
-```
-
-|        Model       | zeroth-test-BLEU | zeroth-test-CER | zeroth-test-WER | fleurs-test-BLEU | fleurs-test-CER | fleurs-test-WER |
-|--------------------|------------------|-----------------|-----------------|------------------|-----------------|-----------------|
-|       original     |      0.071       |      126.4      |      121.5      |       0.010      |      115.7      |      112.8      |
-| finetune (this model) |    94.837     |      1.429      |      2.951      |       67.659     |      7.951      |      18.313     |
-
-
 Evaluation was done on the following datasets:
 - ASR (Automatic Speech Recognition): Evaluated with CER (Character Error Rate) on zeroth-test set (457 samples).
 - AST (Automatic Speech Translation): Evaluated with BLEU score on fleurs ko <-> en speech translation result (270 samples).