diff --git "a/train_run_1.log" "b/train_run_1.log"
--- "a/train_run_1.log"
+++ "b/train_run_1.log"
@@ -35780,3 +35780,574 @@ Adding files tracked by Git LFS: ['src/__pycache__/preprocess.cpython-38.pyc', '
 [INFO|tokenization_utils_base.py:2157] 2022-12-17 15:05:50,429 >> tokenizer config file saved in ./tokenizer_config.json
 [INFO|tokenization_utils_base.py:2164] 2022-12-17 15:05:50,429 >> Special tokens file saved in ./special_tokens_map.json
 [INFO|tokenization_utils_base.py:2210] 2022-12-17 15:05:50,429 >> added tokens file saved in ./added_tokens.json
+
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+{'loss': 0.1159, 'learning_rate': 1.7327272727272727e-05, 'epoch': 0.84}
+{'loss': 0.1152, 'learning_rate': 1.641818181818182e-05, 'epoch': 0.85}
+{'loss': 0.1051, 'learning_rate': 1.550909090909091e-05, 'epoch': 0.86}
+{'loss': 0.1196, 'learning_rate': 1.4599999999999999e-05, 'epoch': 0.87}
+{'loss': 0.117, 'learning_rate': 1.3690909090909091e-05, 'epoch': 0.88}
+{'loss': 0.0972, 'learning_rate': 1.2781818181818183e-05, 'epoch': 0.88}
+{'loss': 0.0965, 'learning_rate': 1.1872727272727273e-05, 'epoch': 0.89}
+{'loss': 0.1008, 'learning_rate': 1.0963636363636365e-05, 'epoch': 0.9}
+12/17/2022 16:02:39 - INFO - __main__ - ShuffleCallback. shuffling train dataset. seed: 42. dataset epoch: 1
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100%|██████████| 6000/6000 [16:32:41<00:00,  8.51s/it][INFO|trainer.py:710] 2022-12-17 17:22:02,157 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: sentence, labels_truncated, input_length, labels_length, audio. If sentence, labels_truncated, input_length, labels_length, audio are not expected by `WhisperForConditionalGeneration.forward`,  you can safely ignore this message.
+[INFO|trainer.py:2955] 2022-12-17 17:22:02,160 >> ***** Running Evaluation *****
+[INFO|trainer.py:2957] 2022-12-17 17:22:02,160 >>   Num examples = 15872
+[INFO|trainer.py:2960] 2022-12-17 17:22:02,160 >>   Batch size = 32
+{'loss': 0.0843, 'learning_rate': 1.0054545454545455e-05, 'epoch': 1.0}
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+{'loss': 0.0628, 'learning_rate': 4.6e-06, 'epoch': 1.05}
+{'loss': 0.0636, 'learning_rate': 3.6909090909090915e-06, 'epoch': 1.06}
+{'loss': 0.0654, 'learning_rate': 2.781818181818182e-06, 'epoch': 1.07}
+{'loss': 0.061, 'learning_rate': 1.8727272727272728e-06, 'epoch': 1.08}
+{'loss': 0.0559, 'learning_rate': 9.636363636363636e-07, 'epoch': 1.09}
+{'loss': 0.0585, 'learning_rate': 5.454545454545455e-08, 'epoch': 1.1}
+
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                                                 [INFO|trainer.py:2700] 2022-12-17 17:57:39,859 >> Saving model checkpoint to ./checkpoint-6000
+[INFO|configuration_utils.py:447] 2022-12-17 17:57:39,860 >> Configuration saved in ./checkpoint-6000/config.json
+[INFO|modeling_utils.py:1680] 2022-12-17 17:57:40,146 >> Model weights saved in ./checkpoint-6000/pytorch_model.bin
+[INFO|feature_extraction_utils.py:368] 2022-12-17 17:57:40,160 >> Feature extractor saved in ./checkpoint-6000/preprocessor_config.json
+[INFO|tokenization_utils_base.py:2157] 2022-12-17 17:57:40,160 >> tokenizer config file saved in ./checkpoint-6000/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2164] 2022-12-17 17:57:40,161 >> Special tokens file saved in ./checkpoint-6000/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2210] 2022-12-17 17:57:40,161 >> added tokens file saved in ./checkpoint-6000/added_tokens.json
+[INFO|feature_extraction_utils.py:368] 2022-12-17 17:57:43,182 >> Feature extractor saved in ./preprocessor_config.json
+[INFO|tokenization_utils_base.py:2157] 2022-12-17 17:57:43,182 >> tokenizer config file saved in ./tokenizer_config.json
+[INFO|tokenization_utils_base.py:2164] 2022-12-17 17:57:43,182 >> Special tokens file saved in ./special_tokens_map.json
+[INFO|tokenization_utils_base.py:2210] 2022-12-17 17:57:43,183 >> added tokens file saved in ./added_tokens.json