End of training

README.md

@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 10
+- num_epochs: 1
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -57,11 +57,3 @@ The following hyperparameters were used during training:
 - Pytorch 2.5.1+cu118
 - Datasets 3.1.0
 - Tokenizers 0.20.3
-
-
-```python
-from transformers import AutoModelForCTC, Wav2Vec2BertProcessor
-
-model = AutoModelForCTC.from_pretrained("HERIUN/w2v-bert-2.0-korean-colab-CV16.0")
-processor = Wav2Vec2BertProcessor.from_pretrained("HERIUN/w2v-bert-2.0-korean-colab-CV16.0")
-```