Update README.md

README.md

@@ -22,23 +22,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # hubert-large-asr
 
-This model is a fine-tuned version of [rinna/japanese-hubert-large](https://huggingface.co/rinna/japanese-hubert-large) ASR. Initially fine-tuned on the Reazonspeech(small) dataset, it was subsequently further fine-tuned on the common_voice_11_0 dataset for ASR tasks.
+This model is a fine-tuned version of [rinna/japanese-hubert-large](https://huggingface.co/rinna/japanese-hubert-large) ASR. Initially fine-tuned on the [Reazonspeech(small) dataset](https://huggingface.co/datasets/reazon-research/reazonspeech), it was subsequently further fine-tuned on the [common_voice_11_0 dataset](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0/viewer/ja) for ASR tasks.
 
 ## Acknowledgments
 
 This model's fine-tuning approach was inspired by and references the training methodology used in [vumichien/wav2vec2-large-xlsr-japanese-hiragana](https://huggingface.co/vumichien/wav2vec2-large-xlsr-japanese-hiragana).
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
 
 ## Training procedure
 
@@ -92,7 +81,13 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 
 ### Test results
+The final model was evaluated as follows:
+
+On Reazonspeech:
+WER: 40.519700%
+CER: 23.220979%
 
+On common_voice_11_0:
 WER: 22.705487%
 CER: 9.399390%