diff --git "a/train.log" "b/train.log"
new file mode 100644--- /dev/null
+++ "b/train.log"
@@ -0,0 +1,1669 @@
+Token indices sequence length is longer than the specified maximum sequence length for this model (548 > 512). Running this sequence through the model will result in indexing errors
+Some weights of RobertaForTokenClassification were not initialized from the model checkpoint at jhgan/ko-sroberta-multitask and are newly initialized: ['classifier.bias', 'classifier.weight']
+You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
+/home/deep/gitprojects/ko-sroberta-korean-time-expression-classifier/src/time_expression_classifier/train_token_classifier.py:251: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead.
+  trainer = Trainer(
+Skipped 1 records with TIMEX spans beyond max_length=256.
+
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  4%|▍         | 2010/45526 [04:28<1:31:33,  7.92it/s]
  4%|▍         | 2011/45526 [04:28<1:36:00,  7.55it/s]
  4%|▍         | 2012/45526 [04:29<1:38:36,  7.35it/s]
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+{'eval_loss': 0.034969817847013474, 'eval_precision': 0.8264533883728931, 'eval_recall': 0.8267614923575464, 'eval_f1': 0.8266074116550786, 'eval_token_accuracy': 0.9898756337293201, 'eval_label_date_precision': 0.8494581707845688, 'eval_label_date_recall': 0.8366919989753223, 'eval_label_date_f1': 0.8430267572915771, 'eval_label_date_support': 23422, 'eval_label_time_precision': 0.7933171651845864, 'eval_label_time_recall': 0.8032742155525239, 'eval_label_time_f1': 0.7982646420824295, 'eval_label_time_support': 3665, 'eval_label_duration_precision': 0.7847959754052544, 'eval_label_duration_recall': 0.824669603524229, 'eval_label_duration_f1': 0.8042388658169841, 'eval_label_duration_support': 6810, 'eval_label_set_precision': 0.7106652587117213, 'eval_label_set_recall': 0.6909650924024641, 'eval_label_set_f1': 0.7006767308693389, 'eval_label_set_support': 974, 'eval_runtime': 98.4482, 'eval_samples_per_second': 455.996, 'eval_steps_per_second': 28.502, 'epoch': 2.0}
+{'train_runtime': 6294.4386, 'train_samples_per_second': 115.721, 'train_steps_per_second': 7.233, 'train_loss': 0.0383534515013475, 'epoch': 2.0}
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