diff --git "a/nohup.out" "b/nohup.out"
--- "a/nohup.out"
+++ "b/nohup.out"
@@ -1932,3 +1932,3768 @@ Configuration saved in ./checkpoint-9500/config.json
 Model weights saved in ./checkpoint-9500/pytorch_model.bin
 Configuration saved in ./checkpoint-9500/preprocessor_config.json
 Configuration saved in ./preprocessor_config.json
+Deleting older checkpoint [checkpoint-8000] due to args.save_total_limit
+
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 29%|██▉       | 10000/34750 [9:25:21<23:33:36,  3.43s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.6285760402679443, 'eval_wer': 0.6122017517366355, 'eval_cer': 0.21484805542434263, 'eval_runtime': 41.6653, 'eval_samples_per_second': 10.944, 'eval_steps_per_second': 1.368, 'epoch': 13.67}
+{'loss': 1.8236, 'learning_rate': 5.760916030534351e-05, 'epoch': 13.81}
+{'loss': 1.8199, 'learning_rate': 5.738015267175571e-05, 'epoch': 13.96}
+{'loss': 1.8285, 'learning_rate': 5.7151145038167934e-05, 'epoch': 14.1}
+{'loss': 1.817, 'learning_rate': 5.692213740458015e-05, 'epoch': 14.24}
+{'loss': 1.819, 'learning_rate': 5.669312977099236e-05, 'epoch': 14.39}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-10000
+Configuration saved in ./checkpoint-10000/config.json
+Model weights saved in ./checkpoint-10000/pytorch_model.bin
+Configuration saved in ./checkpoint-10000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-8500] due to args.save_total_limit
+
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 30%|███       | 10500/34750 [9:52:49<20:50:43,  3.09s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.6015097498893738, 'eval_wer': 0.5986106916339474, 'eval_cer': 0.2074476460399937, 'eval_runtime': 41.6458, 'eval_samples_per_second': 10.949, 'eval_steps_per_second': 1.369, 'epoch': 14.39}
+{'loss': 1.7952, 'learning_rate': 5.6466412213740455e-05, 'epoch': 14.53}
+{'loss': 1.7955, 'learning_rate': 5.623740458015266e-05, 'epoch': 14.68}
+{'loss': 1.7878, 'learning_rate': 5.600839694656488e-05, 'epoch': 14.82}
+{'loss': 1.769, 'learning_rate': 5.5779389312977095e-05, 'epoch': 14.96}
+{'loss': 1.7684, 'learning_rate': 5.555267175572519e-05, 'epoch': 15.11}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-10500
+Configuration saved in ./checkpoint-10500/config.json
+Model weights saved in ./checkpoint-10500/pytorch_model.bin
+Configuration saved in ./checkpoint-10500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-9000] due to args.save_total_limit
+
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 32%|███▏      | 11000/34750 [10:20:22<20:47:17,  3.15s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.5682193636894226, 'eval_wer': 0.5741467834491091, 'eval_cer': 0.19815777042985355, 'eval_runtime': 41.2484, 'eval_samples_per_second': 11.055, 'eval_steps_per_second': 1.382, 'epoch': 15.11}
+{'loss': 1.7626, 'learning_rate': 5.53236641221374e-05, 'epoch': 15.25}
+{'loss': 1.7582, 'learning_rate': 5.5094656488549616e-05, 'epoch': 15.4}
+{'loss': 1.75, 'learning_rate': 5.486564885496182e-05, 'epoch': 15.54}
+{'loss': 1.735, 'learning_rate': 5.463664122137404e-05, 'epoch': 15.68}
+{'loss': 1.7195, 'learning_rate': 5.4407633587786256e-05, 'epoch': 15.83}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-11000
+Configuration saved in ./checkpoint-11000/config.json
+Model weights saved in ./checkpoint-11000/pytorch_model.bin
+Configuration saved in ./checkpoint-11000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-9500] due to args.save_total_limit
+
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 33%|███▎      | 11500/34750 [10:48:01<19:00:45,  2.94s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.5385124683380127, 'eval_wer': 0.5591966173361522, 'eval_cer': 0.20067705873090852, 'eval_runtime': 41.6481, 'eval_samples_per_second': 10.949, 'eval_steps_per_second': 1.369, 'epoch': 15.83}
+{'loss': 1.7274, 'learning_rate': 5.417862595419847e-05, 'epoch': 15.97}
+{'loss': 1.7183, 'learning_rate': 5.3949618320610677e-05, 'epoch': 16.11}
+{'loss': 1.7117, 'learning_rate': 5.37206106870229e-05, 'epoch': 16.26}
+{'loss': 1.6918, 'learning_rate': 5.349160305343511e-05, 'epoch': 16.4}
+{'loss': 1.7044, 'learning_rate': 5.3262595419847324e-05, 'epoch': 16.55}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-11500
+Configuration saved in ./checkpoint-11500/config.json
+Model weights saved in ./checkpoint-11500/pytorch_model.bin
+Configuration saved in ./checkpoint-11500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-10000] due to args.save_total_limit
+
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 35%|███▍      | 12000/34750 [11:15:23<16:16:36,  2.58s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.5361923575401306, 'eval_wer': 0.5524010872848082, 'eval_cer': 0.20965202330341678, 'eval_runtime': 41.5242, 'eval_samples_per_second': 10.982, 'eval_steps_per_second': 1.373, 'epoch': 16.55}
+{'loss': 1.7134, 'learning_rate': 5.303358778625954e-05, 'epoch': 16.69}
+{'loss': 1.7016, 'learning_rate': 5.280458015267176e-05, 'epoch': 16.83}
+{'loss': 1.7069, 'learning_rate': 5.2575572519083964e-05, 'epoch': 16.98}
+{'loss': 1.7046, 'learning_rate': 5.234656488549618e-05, 'epoch': 17.12}
+{'loss': 1.6879, 'learning_rate': 5.211755725190839e-05, 'epoch': 17.27}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-12000
+Configuration saved in ./checkpoint-12000/config.json
+Model weights saved in ./checkpoint-12000/pytorch_model.bin
+Configuration saved in ./checkpoint-12000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-10500] due to args.save_total_limit
+
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 36%|███▌      | 12500/34750 [11:42:21<15:33:24,  2.52s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.5119141936302185, 'eval_wer': 0.5489278163696768, 'eval_cer': 0.20831365139348135, 'eval_runtime': 40.4618, 'eval_samples_per_second': 11.27, 'eval_steps_per_second': 1.409, 'epoch': 17.27}
+{'loss': 1.681, 'learning_rate': 5.188854961832061e-05, 'epoch': 17.41}
+{'loss': 1.6683, 'learning_rate': 5.1659541984732825e-05, 'epoch': 17.55}
+{'loss': 1.655, 'learning_rate': 5.143053435114503e-05, 'epoch': 17.7}
+{'loss': 1.6604, 'learning_rate': 5.1201526717557245e-05, 'epoch': 17.84}
+{'loss': 1.656, 'learning_rate': 5.0972519083969465e-05, 'epoch': 17.98}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-12500
+Configuration saved in ./checkpoint-12500/config.json
+Model weights saved in ./checkpoint-12500/pytorch_model.bin
+Configuration saved in ./checkpoint-12500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-11000] due to args.save_total_limit
+
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 37%|███▋      | 13000/34750 [12:09:26<14:15:57,  2.36s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.4990406930446625, 'eval_wer': 0.5362428269405014, 'eval_cer': 0.19678003464021415, 'eval_runtime': 40.5826, 'eval_samples_per_second': 11.236, 'eval_steps_per_second': 1.405, 'epoch': 17.98}
+{'loss': 1.6645, 'learning_rate': 5.074351145038168e-05, 'epoch': 18.13}
+{'loss': 1.6269, 'learning_rate': 5.051450381679389e-05, 'epoch': 18.27}
+{'loss': 1.6306, 'learning_rate': 5.02854961832061e-05, 'epoch': 18.42}
+{'loss': 1.6191, 'learning_rate': 5.005877862595419e-05, 'epoch': 18.56}
+{'loss': 1.6122, 'learning_rate': 4.9829770992366406e-05, 'epoch': 18.7}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-13000
+Configuration saved in ./checkpoint-13000/config.json
+Model weights saved in ./checkpoint-13000/pytorch_model.bin
+Configuration saved in ./checkpoint-13000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-11500] due to args.save_total_limit
+
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 39%|███▉      | 13500/34750 [12:36:25<13:00:05,  2.20s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.45614466071128845, 'eval_wer': 0.5092117185140441, 'eval_cer': 0.18997008345142496, 'eval_runtime': 41.2927, 'eval_samples_per_second': 11.043, 'eval_steps_per_second': 1.38, 'epoch': 18.7}
+{'loss': 1.622, 'learning_rate': 4.9600763358778626e-05, 'epoch': 18.85}
+{'loss': 1.6305, 'learning_rate': 4.937175572519084e-05, 'epoch': 18.99}
+{'loss': 1.6134, 'learning_rate': 4.9142748091603046e-05, 'epoch': 19.14}
+{'loss': 1.6044, 'learning_rate': 4.891374045801526e-05, 'epoch': 19.28}
+{'loss': 1.5919, 'learning_rate': 4.868473282442748e-05, 'epoch': 19.42}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-13500
+Configuration saved in ./checkpoint-13500/config.json
+Model weights saved in ./checkpoint-13500/pytorch_model.bin
+Configuration saved in ./checkpoint-13500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-12000] due to args.save_total_limit
+
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 40%|████      | 14000/34750 [13:03:24<10:16:16,  1.78s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.47778981924057007, 'eval_wer': 0.5225007550588946, 'eval_cer': 0.19752794835458984, 'eval_runtime': 41.5758, 'eval_samples_per_second': 10.968, 'eval_steps_per_second': 1.371, 'epoch': 19.42}
+{'loss': 1.595, 'learning_rate': 4.8455725190839694e-05, 'epoch': 19.57}
+{'loss': 1.5959, 'learning_rate': 4.822671755725191e-05, 'epoch': 19.71}
+{'loss': 1.6006, 'learning_rate': 4.7997709923664114e-05, 'epoch': 19.86}
+{'loss': 1.5913, 'learning_rate': 4.7768702290076334e-05, 'epoch': 20.0}
+{'loss': 1.5896, 'learning_rate': 4.753969465648855e-05, 'epoch': 20.14}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-14000
+Configuration saved in ./checkpoint-14000/config.json
+Model weights saved in ./checkpoint-14000/pytorch_model.bin
+Configuration saved in ./checkpoint-14000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-12500] due to args.save_total_limit
+
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 42%|████▏     | 14500/34750 [13:30:25<10:54:26,  1.94s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.4563109278678894, 'eval_wer': 0.5098157656297191, 'eval_cer': 0.18591560384191466, 'eval_runtime': 40.8794, 'eval_samples_per_second': 11.155, 'eval_steps_per_second': 1.394, 'epoch': 20.14}
+{'loss': 1.5823, 'learning_rate': 4.731068702290076e-05, 'epoch': 20.29}
+{'loss': 1.5634, 'learning_rate': 4.708167938931297e-05, 'epoch': 20.43}
+{'loss': 1.5573, 'learning_rate': 4.685267175572519e-05, 'epoch': 20.57}
+{'loss': 1.5689, 'learning_rate': 4.66236641221374e-05, 'epoch': 20.72}
+{'loss': 1.5589, 'learning_rate': 4.6394656488549615e-05, 'epoch': 20.86}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-14500
+Configuration saved in ./checkpoint-14500/config.json
+Model weights saved in ./checkpoint-14500/pytorch_model.bin
+Configuration saved in ./checkpoint-14500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-13000] due to args.save_total_limit
+
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 43%|████▎     | 15000/34750 [13:57:35<25:19:31,  4.62s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.43622052669525146, 'eval_wer': 0.4939595288432498, 'eval_cer': 0.17249252086285624, 'eval_runtime': 41.7277, 'eval_samples_per_second': 10.928, 'eval_steps_per_second': 1.366, 'epoch': 20.86}
+{'loss': 1.5697, 'learning_rate': 4.616564885496183e-05, 'epoch': 21.01}
+{'loss': 1.5336, 'learning_rate': 4.593664122137405e-05, 'epoch': 21.15}
+{'loss': 1.5425, 'learning_rate': 4.5707633587786255e-05, 'epoch': 21.29}
+{'loss': 1.5461, 'learning_rate': 4.547862595419847e-05, 'epoch': 21.44}
+{'loss': 1.5353, 'learning_rate': 4.524961832061068e-05, 'epoch': 21.58}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-15000
+Configuration saved in ./checkpoint-15000/config.json
+Model weights saved in ./checkpoint-15000/pytorch_model.bin
+Configuration saved in ./checkpoint-15000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-13500] due to args.save_total_limit
+
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 45%|████▍     | 15500/34750 [14:24:36<21:55:26,  4.10s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.41395294666290283, 'eval_wer': 0.4826336454243431, 'eval_cer': 0.15804597701149425, 'eval_runtime': 40.5257, 'eval_samples_per_second': 11.252, 'eval_steps_per_second': 1.407, 'epoch': 21.58}
+{'loss': 1.5348, 'learning_rate': 4.5020610687022895e-05, 'epoch': 21.73}
+{'loss': 1.5279, 'learning_rate': 4.4791603053435116e-05, 'epoch': 21.87}
+{'loss': 1.5492, 'learning_rate': 4.456259541984732e-05, 'epoch': 22.01}
+{'loss': 1.5291, 'learning_rate': 4.4333587786259536e-05, 'epoch': 22.16}
+{'loss': 1.5441, 'learning_rate': 4.410458015267175e-05, 'epoch': 22.3}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-15500
+Configuration saved in ./checkpoint-15500/config.json
+Model weights saved in ./checkpoint-15500/pytorch_model.bin
+Configuration saved in ./checkpoint-15500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-14000] due to args.save_total_limit
+
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 46%|████▌     | 16000/34750 [14:51:29<19:14:21,  3.69s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.40313535928726196, 'eval_wer': 0.47417698580489276, 'eval_cer': 0.15501495827428752, 'eval_runtime': 41.0848, 'eval_samples_per_second': 11.099, 'eval_steps_per_second': 1.387, 'epoch': 22.3}
+{'loss': 1.518, 'learning_rate': 4.387557251908397e-05, 'epoch': 22.45}
+{'loss': 1.5081, 'learning_rate': 4.364656488549618e-05, 'epoch': 22.59}
+{'loss': 1.4959, 'learning_rate': 4.341755725190839e-05, 'epoch': 22.73}
+{'loss': 1.5097, 'learning_rate': 4.31885496183206e-05, 'epoch': 22.88}
+{'loss': 1.5116, 'learning_rate': 4.295954198473282e-05, 'epoch': 23.02}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-16000
+Configuration saved in ./checkpoint-16000/config.json
+Model weights saved in ./checkpoint-16000/pytorch_model.bin
+Configuration saved in ./checkpoint-16000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-14500] due to args.save_total_limit
+
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 47%|████▋     | 16500/34750 [15:18:11<18:32:46,  3.66s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.39162585139274597, 'eval_wer': 0.4747810329205678, 'eval_cer': 0.15450322783813572, 'eval_runtime': 40.7373, 'eval_samples_per_second': 11.194, 'eval_steps_per_second': 1.399, 'epoch': 23.02}
+{'loss': 1.4951, 'learning_rate': 4.273053435114504e-05, 'epoch': 23.17}
+{'loss': 1.4974, 'learning_rate': 4.250152671755724e-05, 'epoch': 23.31}
+{'loss': 1.5045, 'learning_rate': 4.227480916030534e-05, 'epoch': 23.45}
+{'loss': 1.4944, 'learning_rate': 4.204580152671755e-05, 'epoch': 23.6}
+{'loss': 1.4731, 'learning_rate': 4.181679389312977e-05, 'epoch': 23.74}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-16500
+Configuration saved in ./checkpoint-16500/config.json
+Model weights saved in ./checkpoint-16500/pytorch_model.bin
+Configuration saved in ./checkpoint-16500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-15000] due to args.save_total_limit
+
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 49%|████▉     | 17000/34750 [15:45:10<16:28:11,  3.34s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.3840835392475128, 'eval_wer': 0.4809725158562368, 'eval_cer': 0.15422768068020784, 'eval_runtime': 40.8763, 'eval_samples_per_second': 11.156, 'eval_steps_per_second': 1.394, 'epoch': 23.74}
+{'loss': 1.472, 'learning_rate': 4.1587786259541985e-05, 'epoch': 23.88}
+{'loss': 1.4847, 'learning_rate': 4.13587786259542e-05, 'epoch': 24.03}
+{'loss': 1.4603, 'learning_rate': 4.1129770992366405e-05, 'epoch': 24.17}
+{'loss': 1.4563, 'learning_rate': 4.090076335877862e-05, 'epoch': 24.32}
+{'loss': 1.4647, 'learning_rate': 4.067175572519084e-05, 'epoch': 24.46}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-17000
+Configuration saved in ./checkpoint-17000/config.json
+Model weights saved in ./checkpoint-17000/pytorch_model.bin
+Configuration saved in ./checkpoint-17000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-15500] due to args.save_total_limit
+
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 50%|█████     | 17500/34750 [16:12:01<14:30:22,  3.03s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.37518319487571716, 'eval_wer': 0.452431289640592, 'eval_cer': 0.14753582113053063, 'eval_runtime': 41.0205, 'eval_samples_per_second': 11.116, 'eval_steps_per_second': 1.39, 'epoch': 24.46}
+{'loss': 1.4585, 'learning_rate': 4.044274809160305e-05, 'epoch': 24.6}
+{'loss': 1.4692, 'learning_rate': 4.021374045801526e-05, 'epoch': 24.75}
+{'loss': 1.444, 'learning_rate': 3.998473282442747e-05, 'epoch': 24.89}
+{'loss': 1.4717, 'learning_rate': 3.975572519083969e-05, 'epoch': 25.04}
+{'loss': 1.4328, 'learning_rate': 3.9526717557251906e-05, 'epoch': 25.18}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-17500
+Configuration saved in ./checkpoint-17500/config.json
+Model weights saved in ./checkpoint-17500/pytorch_model.bin
+Configuration saved in ./checkpoint-17500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-16000] due to args.save_total_limit
+
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 52%|█████▏    | 18000/34750 [16:38:53<14:22:23,  3.09s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.35870596766471863, 'eval_wer': 0.4475989127151918, 'eval_cer': 0.1461187214611872, 'eval_runtime': 40.6723, 'eval_samples_per_second': 11.212, 'eval_steps_per_second': 1.401, 'epoch': 25.18}
+{'loss': 1.4329, 'learning_rate': 3.929770992366412e-05, 'epoch': 25.32}
+{'loss': 1.4209, 'learning_rate': 3.9068702290076326e-05, 'epoch': 25.47}
+{'loss': 1.4188, 'learning_rate': 3.884198473282442e-05, 'epoch': 25.61}
+{'loss': 1.4301, 'learning_rate': 3.861297709923664e-05, 'epoch': 25.75}
+{'loss': 1.4129, 'learning_rate': 3.8383969465648854e-05, 'epoch': 25.9}
+
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                                               Saving model checkpoint to ./checkpoint-18000
+Configuration saved in ./checkpoint-18000/config.json
+Model weights saved in ./checkpoint-18000/pytorch_model.bin
+Configuration saved in ./checkpoint-18000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-16500] due to args.save_total_limit
+
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 53%|█████▎    | 18500/34750 [17:05:52<13:03:48,  2.89s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.3428773581981659, 'eval_wer': 0.42419208698278466, 'eval_cer': 0.13663202645252717, 'eval_runtime': 42.0192, 'eval_samples_per_second': 10.852, 'eval_steps_per_second': 1.357, 'epoch': 25.9}
+{'loss': 1.4266, 'learning_rate': 3.815496183206107e-05, 'epoch': 26.04}
+{'loss': 1.4166, 'learning_rate': 3.7925954198473274e-05, 'epoch': 26.19}
+{'loss': 1.4157, 'learning_rate': 3.7696946564885494e-05, 'epoch': 26.33}
+{'loss': 1.4285, 'learning_rate': 3.746793893129771e-05, 'epoch': 26.47}
+{'loss': 1.4062, 'learning_rate': 3.723893129770992e-05, 'epoch': 26.62}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-18500
+Configuration saved in ./checkpoint-18500/config.json
+Model weights saved in ./checkpoint-18500/pytorch_model.bin
+Configuration saved in ./checkpoint-18500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-17000] due to args.save_total_limit
+
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 55%|█████▍    | 19000/34750 [17:32:52<11:30:00,  2.63s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.34499478340148926, 'eval_wer': 0.4250981576562972, 'eval_cer': 0.13549047394111163, 'eval_runtime': 41.0336, 'eval_samples_per_second': 11.113, 'eval_steps_per_second': 1.389, 'epoch': 26.62}
+{'loss': 1.4163, 'learning_rate': 3.7009923664122134e-05, 'epoch': 26.76}
+{'loss': 1.404, 'learning_rate': 3.678091603053435e-05, 'epoch': 26.91}
+{'loss': 1.4134, 'learning_rate': 3.655190839694656e-05, 'epoch': 27.05}
+{'loss': 1.4001, 'learning_rate': 3.6322900763358775e-05, 'epoch': 27.19}
+{'loss': 1.3928, 'learning_rate': 3.609389312977099e-05, 'epoch': 27.34}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-19000
+Configuration saved in ./checkpoint-19000/config.json
+Model weights saved in ./checkpoint-19000/pytorch_model.bin
+Configuration saved in ./checkpoint-19000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-17500] due to args.save_total_limit
+
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 56%|█████▌    | 19500/34750 [17:59:47<10:02:09,  2.37s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.32969579100608826, 'eval_wer': 0.4145273331319843, 'eval_cer': 0.13218390804597702, 'eval_runtime': 41.0801, 'eval_samples_per_second': 11.1, 'eval_steps_per_second': 1.388, 'epoch': 27.34}
+{'loss': 1.3979, 'learning_rate': 3.58648854961832e-05, 'epoch': 27.48}
+{'loss': 1.3971, 'learning_rate': 3.5635877862595415e-05, 'epoch': 27.63}
+{'loss': 1.3934, 'learning_rate': 3.540687022900763e-05, 'epoch': 27.77}
+{'loss': 1.3866, 'learning_rate': 3.517786259541984e-05, 'epoch': 27.91}
+{'loss': 1.3906, 'learning_rate': 3.4948854961832055e-05, 'epoch': 28.06}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-19500
+Configuration saved in ./checkpoint-19500/config.json
+Model weights saved in ./checkpoint-19500/pytorch_model.bin
+Configuration saved in ./checkpoint-19500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-18000] due to args.save_total_limit
+
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 58%|█████���    | 20000/34750 [18:26:48<10:00:34,  2.44s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.32101842761039734, 'eval_wer': 0.4184536393838719, 'eval_cer': 0.1336403715950244, 'eval_runtime': 41.0367, 'eval_samples_per_second': 11.112, 'eval_steps_per_second': 1.389, 'epoch': 28.06}
+{'loss': 1.3689, 'learning_rate': 3.471984732824427e-05, 'epoch': 28.2}
+{'loss': 1.3715, 'learning_rate': 3.449083969465649e-05, 'epoch': 28.34}
+{'loss': 1.3527, 'learning_rate': 3.4261832061068696e-05, 'epoch': 28.49}
+{'loss': 1.3532, 'learning_rate': 3.4032824427480916e-05, 'epoch': 28.63}
+{'loss': 1.358, 'learning_rate': 3.380381679389312e-05, 'epoch': 28.78}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-20000
+Configuration saved in ./checkpoint-20000/config.json
+Model weights saved in ./checkpoint-20000/pytorch_model.bin
+Configuration saved in ./checkpoint-20000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-18500] due to args.save_total_limit
+
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 59%|█████▉    | 20500/34750 [18:53:45<8:32:06,  2.16s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.31306591629981995, 'eval_wer': 0.39700996677740863, 'eval_cer': 0.12753897024090693, 'eval_runtime': 41.2359, 'eval_samples_per_second': 11.058, 'eval_steps_per_second': 1.382, 'epoch': 28.78}
+{'loss': 1.3582, 'learning_rate': 3.357480916030534e-05, 'epoch': 28.92}
+{'loss': 1.3587, 'learning_rate': 3.334580152671755e-05, 'epoch': 29.06}
+{'loss': 1.3392, 'learning_rate': 3.311679389312977e-05, 'epoch': 29.21}
+{'loss': 1.3486, 'learning_rate': 3.288778625954198e-05, 'epoch': 29.35}
+{'loss': 1.3445, 'learning_rate': 3.26587786259542e-05, 'epoch': 29.5}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-20500
+Configuration saved in ./checkpoint-20500/config.json
+Model weights saved in ./checkpoint-20500/pytorch_model.bin
+Configuration saved in ./checkpoint-20500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-19000] due to args.save_total_limit
+
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 60%|██████    | 21000/34750 [19:20:41<7:05:28,  1.86s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.3069218099117279, 'eval_wer': 0.3920265780730897, 'eval_cer': 0.12761769800031492, 'eval_runtime': 41.0687, 'eval_samples_per_second': 11.103, 'eval_steps_per_second': 1.388, 'epoch': 29.5}
+{'loss': 1.3354, 'learning_rate': 3.242977099236641e-05, 'epoch': 29.64}
+{'loss': 1.3334, 'learning_rate': 3.2200763358778624e-05, 'epoch': 29.78}
+{'loss': 1.3305, 'learning_rate': 3.197175572519084e-05, 'epoch': 29.93}
+{'loss': 1.3354, 'learning_rate': 3.174274809160305e-05, 'epoch': 30.07}
+{'loss': 1.3159, 'learning_rate': 3.1513740458015264e-05, 'epoch': 30.22}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-21000
+Configuration saved in ./checkpoint-21000/config.json
+Model weights saved in ./checkpoint-21000/pytorch_model.bin
+Configuration saved in ./checkpoint-21000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-19500] due to args.save_total_limit
+
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 62%|██████▏   | 21500/34750 [19:47:44<6:45:24,  1.84s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.30346596240997314, 'eval_wer': 0.3961038961038961, 'eval_cer': 0.1254920484962998, 'eval_runtime': 41.0784, 'eval_samples_per_second': 11.101, 'eval_steps_per_second': 1.388, 'epoch': 30.22}
+{'loss': 1.3376, 'learning_rate': 3.128473282442748e-05, 'epoch': 30.36}
+{'loss': 1.324, 'learning_rate': 3.105572519083969e-05, 'epoch': 30.5}
+{'loss': 1.3091, 'learning_rate': 3.0826717557251904e-05, 'epoch': 30.65}
+{'loss': 1.3213, 'learning_rate': 3.059770992366412e-05, 'epoch': 30.79}
+{'loss': 1.3044, 'learning_rate': 3.0368702290076335e-05, 'epoch': 30.93}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-21500
+Configuration saved in ./checkpoint-21500/config.json
+Model weights saved in ./checkpoint-21500/pytorch_model.bin
+Configuration saved in ./checkpoint-21500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-20000] due to args.save_total_limit
+
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 63%|██████▎   | 22000/34750 [20:15:01<15:39:01,  4.42s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.29519879817962646, 'eval_wer': 0.3853820598006645, 'eval_cer': 0.12423240434577232, 'eval_runtime': 41.1753, 'eval_samples_per_second': 11.075, 'eval_steps_per_second': 1.384, 'epoch': 30.93}
+{'loss': 1.3033, 'learning_rate': 3.0139694656488545e-05, 'epoch': 31.08}
+{'loss': 1.2995, 'learning_rate': 2.991068702290076e-05, 'epoch': 31.22}
+{'loss': 1.3101, 'learning_rate': 2.9681679389312975e-05, 'epoch': 31.37}
+{'loss': 1.304, 'learning_rate': 2.945267175572519e-05, 'epoch': 31.51}
+{'loss': 1.3034, 'learning_rate': 2.9223664122137402e-05, 'epoch': 31.65}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-22000
+Configuration saved in ./checkpoint-22000/config.json
+Model weights saved in ./checkpoint-22000/pytorch_model.bin
+Configuration saved in ./checkpoint-22000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-20500] due to args.save_total_limit
+
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 65%|██████▍   | 22500/34750 [20:42:03<14:16:09,  4.19s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.29660850763320923, 'eval_wer': 0.37722742373905166, 'eval_cer': 0.12273657691702095, 'eval_runtime': 41.8912, 'eval_samples_per_second': 10.885, 'eval_steps_per_second': 1.361, 'epoch': 31.65}
+{'loss': 1.2912, 'learning_rate': 2.8994656488549615e-05, 'epoch': 31.8}
+{'loss': 1.299, 'learning_rate': 2.876564885496183e-05, 'epoch': 31.94}
+{'loss': 1.3042, 'learning_rate': 2.8536641221374046e-05, 'epoch': 32.09}
+{'loss': 1.294, 'learning_rate': 2.8307633587786256e-05, 'epoch': 32.23}
+{'loss': 1.2963, 'learning_rate': 2.8078625954198472e-05, 'epoch': 32.37}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-22500
+Configuration saved in ./checkpoint-22500/config.json
+Model weights saved in ./checkpoint-22500/pytorch_model.bin
+Configuration saved in ./checkpoint-22500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-21000] due to args.save_total_limit
+
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 66%|██████▌   | 23000/34750 [21:09:13<12:28:39,  3.82s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.2843906879425049, 'eval_wer': 0.3705829054666264, 'eval_cer': 0.12080774681152574, 'eval_runtime': 41.7644, 'eval_samples_per_second': 10.918, 'eval_steps_per_second': 1.365, 'epoch': 32.37}
+{'loss': 1.2769, 'learning_rate': 2.7849618320610682e-05, 'epoch': 32.52}
+{'loss': 1.2812, 'learning_rate': 2.76206106870229e-05, 'epoch': 32.66}
+{'loss': 1.2827, 'learning_rate': 2.7391603053435113e-05, 'epoch': 32.8}
+{'loss': 1.2747, 'learning_rate': 2.7162595419847326e-05, 'epoch': 32.95}
+{'loss': 1.2765, 'learning_rate': 2.6935877862595417e-05, 'epoch': 33.09}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-23000
+Configuration saved in ./checkpoint-23000/config.json
+Model weights saved in ./checkpoint-23000/pytorch_model.bin
+Configuration saved in ./checkpoint-23000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-21500] due to args.save_total_limit
+
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 68%|██████▊   | 23500/34750 [21:36:09<11:48:00,  3.78s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.28407707810401917, 'eval_wer': 0.35668982180610087, 'eval_cer': 0.11726499763816722, 'eval_runtime': 40.9894, 'eval_samples_per_second': 11.125, 'eval_steps_per_second': 1.391, 'epoch': 33.09}
+{'loss': 1.2785, 'learning_rate': 2.670687022900763e-05, 'epoch': 33.24}
+{'loss': 1.2644, 'learning_rate': 2.6477862595419844e-05, 'epoch': 33.38}
+{'loss': 1.2724, 'learning_rate': 2.624885496183206e-05, 'epoch': 33.52}
+{'loss': 1.2551, 'learning_rate': 2.601984732824427e-05, 'epoch': 33.67}
+{'loss': 1.2438, 'learning_rate': 2.5790839694656488e-05, 'epoch': 33.81}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-23500
+Configuration saved in ./checkpoint-23500/config.json
+Model weights saved in ./checkpoint-23500/pytorch_model.bin
+Configuration saved in ./checkpoint-23500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-22000] due to args.save_total_limit
+
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 69%|██████▉   | 24000/34750 [22:03:21<10:05:51,  3.38s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.2734295129776001, 'eval_wer': 0.35517970401691334, 'eval_cer': 0.11372224846480869, 'eval_runtime': 41.7199, 'eval_samples_per_second': 10.93, 'eval_steps_per_second': 1.366, 'epoch': 33.81}
+{'loss': 1.2491, 'learning_rate': 2.5561832061068698e-05, 'epoch': 33.96}
+{'loss': 1.252, 'learning_rate': 2.5332824427480915e-05, 'epoch': 34.1}
+{'loss': 1.2467, 'learning_rate': 2.5103816793893128e-05, 'epoch': 34.24}
+{'loss': 1.2406, 'learning_rate': 2.487480916030534e-05, 'epoch': 34.39}
+{'loss': 1.2487, 'learning_rate': 2.4645801526717555e-05, 'epoch': 34.53}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-24000
+Configuration saved in ./checkpoint-24000/config.json
+Model weights saved in ./checkpoint-24000/pytorch_model.bin
+Configuration saved in ./checkpoint-24000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-22500] due to args.save_total_limit
+
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 71%|███████   | 24500/34750 [22:30:23<8:59:58,  3.16s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.2702818512916565, 'eval_wer': 0.3501963153125944, 'eval_cer': 0.11179341835931349, 'eval_runtime': 41.8515, 'eval_samples_per_second': 10.896, 'eval_steps_per_second': 1.362, 'epoch': 34.53}
+{'loss': 1.2504, 'learning_rate': 2.441679389312977e-05, 'epoch': 34.68}
+{'loss': 1.2341, 'learning_rate': 2.4187786259541982e-05, 'epoch': 34.82}
+{'loss': 1.2477, 'learning_rate': 2.39587786259542e-05, 'epoch': 34.96}
+{'loss': 1.2427, 'learning_rate': 2.372977099236641e-05, 'epoch': 35.11}
+{'loss': 1.2249, 'learning_rate': 2.3500763358778626e-05, 'epoch': 35.25}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-24500
+Configuration saved in ./checkpoint-24500/config.json
+Model weights saved in ./checkpoint-24500/pytorch_model.bin
+Configuration saved in ./checkpoint-24500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-23000] due to args.save_total_limit
+
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 72%|███████▏  | 25000/34750 [22:57:34<8:18:19,  3.07s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.2650163471698761, 'eval_wer': 0.3483841739655693, 'eval_cer': 0.11423397890096047, 'eval_runtime': 41.2103, 'eval_samples_per_second': 11.065, 'eval_steps_per_second': 1.383, 'epoch': 35.25}
+{'loss': 1.2265, 'learning_rate': 2.3271755725190836e-05, 'epoch': 35.4}
+{'loss': 1.2276, 'learning_rate': 2.3042748091603052e-05, 'epoch': 35.54}
+{'loss': 1.2332, 'learning_rate': 2.2816030534351143e-05, 'epoch': 35.68}
+{'loss': 1.2249, 'learning_rate': 2.2587022900763357e-05, 'epoch': 35.83}
+{'loss': 1.2229, 'learning_rate': 2.235801526717557e-05, 'epoch': 35.97}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-25000
+Configuration saved in ./checkpoint-25000/config.json
+Model weights saved in ./checkpoint-25000/pytorch_model.bin
+Configuration saved in ./checkpoint-25000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-23500] due to args.save_total_limit
+
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 73%|███████▎  | 25500/34750 [23:25:12<7:20:33,  2.86s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.25843024253845215, 'eval_wer': 0.3373603141045001, 'eval_cer': 0.10970713273500236, 'eval_runtime': 42.815, 'eval_samples_per_second': 10.65, 'eval_steps_per_second': 1.331, 'epoch': 35.97}
+{'loss': 1.2412, 'learning_rate': 2.2129007633587784e-05, 'epoch': 36.11}
+{'loss': 1.212, 'learning_rate': 2.1899999999999997e-05, 'epoch': 36.26}
+{'loss': 1.2151, 'learning_rate': 2.1670992366412214e-05, 'epoch': 36.4}
+{'loss': 1.2303, 'learning_rate': 2.1441984732824424e-05, 'epoch': 36.55}
+{'loss': 1.2374, 'learning_rate': 2.121297709923664e-05, 'epoch': 36.69}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-25500
+Configuration saved in ./checkpoint-25500/config.json
+Model weights saved in ./checkpoint-25500/pytorch_model.bin
+Configuration saved in ./checkpoint-25500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-24000] due to args.save_total_limit
+
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 75%|███████▍  | 26000/34750 [23:52:26<6:20:33,  2.61s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.2568279504776001, 'eval_wer': 0.33373603141045, 'eval_cer': 0.10951031333648244, 'eval_runtime': 41.6839, 'eval_samples_per_second': 10.939, 'eval_steps_per_second': 1.367, 'epoch': 36.69}
+{'loss': 1.2152, 'learning_rate': 2.098396946564885e-05, 'epoch': 36.83}
+{'loss': 1.2089, 'learning_rate': 2.0754961832061068e-05, 'epoch': 36.98}
+{'loss': 1.2201, 'learning_rate': 2.052595419847328e-05, 'epoch': 37.12}
+{'loss': 1.2006, 'learning_rate': 2.0296946564885495e-05, 'epoch': 37.27}
+{'loss': 1.2153, 'learning_rate': 2.0067938931297708e-05, 'epoch': 37.41}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-26000
+Configuration saved in ./checkpoint-26000/config.json
+Model weights saved in ./checkpoint-26000/pytorch_model.bin
+Configuration saved in ./checkpoint-26000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-24500] due to args.save_total_limit
+
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 76%|███████▋  | 26500/34750 [24:19:36<5:24:10,  2.36s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.24941784143447876, 'eval_wer': 0.33267894895801875, 'eval_cer': 0.10710911667453944, 'eval_runtime': 41.3494, 'eval_samples_per_second': 11.028, 'eval_steps_per_second': 1.378, 'epoch': 37.41}
+{'loss': 1.2071, 'learning_rate': 1.983893129770992e-05, 'epoch': 37.55}
+{'loss': 1.2042, 'learning_rate': 1.9609923664122135e-05, 'epoch': 37.7}
+{'loss': 1.2037, 'learning_rate': 1.9380916030534352e-05, 'epoch': 37.84}
+{'loss': 1.1962, 'learning_rate': 1.9151908396946562e-05, 'epoch': 37.98}
+{'loss': 1.1925, 'learning_rate': 1.892290076335878e-05, 'epoch': 38.13}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-26500
+Configuration saved in ./checkpoint-26500/config.json
+Model weights saved in ./checkpoint-26500/pytorch_model.bin
+Configuration saved in ./checkpoint-26500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-25000] due to args.save_total_limit
+
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 78%|███████▊  | 27000/34750 [24:46:49<5:05:06,  2.36s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.2518324553966522, 'eval_wer': 0.33660525520990636, 'eval_cer': 0.1076995748700992, 'eval_runtime': 40.748, 'eval_samples_per_second': 11.191, 'eval_steps_per_second': 1.399, 'epoch': 38.13}
+{'loss': 1.1969, 'learning_rate': 1.869389312977099e-05, 'epoch': 38.27}
+{'loss': 1.1947, 'learning_rate': 1.8464885496183202e-05, 'epoch': 38.42}
+{'loss': 1.2005, 'learning_rate': 1.823587786259542e-05, 'epoch': 38.56}
+{'loss': 1.1961, 'learning_rate': 1.8006870229007632e-05, 'epoch': 38.7}
+{'loss': 1.1908, 'learning_rate': 1.7777862595419846e-05, 'epoch': 38.85}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-27000
+Configuration saved in ./checkpoint-27000/config.json
+Model weights saved in ./checkpoint-27000/pytorch_model.bin
+Configuration saved in ./checkpoint-27000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-25500] due to args.save_total_limit
+
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 79%|███████▉  | 27500/34750 [25:14:01<4:23:59,  2.18s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.24367305636405945, 'eval_wer': 0.3272425249169435, 'eval_cer': 0.10565265312549205, 'eval_runtime': 41.2308, 'eval_samples_per_second': 11.06, 'eval_steps_per_second': 1.382, 'epoch': 38.85}
+{'loss': 1.1762, 'learning_rate': 1.754885496183206e-05, 'epoch': 38.99}
+{'loss': 1.2018, 'learning_rate': 1.7319847328244273e-05, 'epoch': 39.14}
+{'loss': 1.1822, 'learning_rate': 1.7090839694656486e-05, 'epoch': 39.28}
+{'loss': 1.1745, 'learning_rate': 1.68618320610687e-05, 'epoch': 39.42}
+{'loss': 1.1858, 'learning_rate': 1.6632824427480913e-05, 'epoch': 39.57}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-27500
+Configuration saved in ./checkpoint-27500/config.json
+Model weights saved in ./checkpoint-27500/pytorch_model.bin
+Configuration saved in ./checkpoint-27500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-26000] due to args.save_total_limit
+
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 81%|████████  | 28000/34750 [25:40:56<3:25:55,  1.83s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.23960824310779572, 'eval_wer': 0.32648746602234974, 'eval_cer': 0.10443237285466855, 'eval_runtime': 42.517, 'eval_samples_per_second': 10.725, 'eval_steps_per_second': 1.341, 'epoch': 39.57}
+{'loss': 1.1866, 'learning_rate': 1.6403816793893127e-05, 'epoch': 39.71}
+{'loss': 1.1878, 'learning_rate': 1.617480916030534e-05, 'epoch': 39.86}
+{'loss': 1.1817, 'learning_rate': 1.5945801526717557e-05, 'epoch': 40.0}
+{'loss': 1.1851, 'learning_rate': 1.571679389312977e-05, 'epoch': 40.14}
+{'loss': 1.1808, 'learning_rate': 1.5487786259541984e-05, 'epoch': 40.29}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-28000
+Configuration saved in ./checkpoint-28000/config.json
+Model weights saved in ./checkpoint-28000/pytorch_model.bin
+Configuration saved in ./checkpoint-28000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-26500] due to args.save_total_limit
+
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 82%|████████▏ | 28500/34750 [26:08:05<8:05:35,  4.66s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.2373325228691101, 'eval_wer': 0.31561461794019935, 'eval_cer': 0.10277908990710125, 'eval_runtime': 41.3513, 'eval_samples_per_second': 11.027, 'eval_steps_per_second': 1.378, 'epoch': 40.29}
+{'loss': 1.1558, 'learning_rate': 1.5258778625954197e-05, 'epoch': 40.43}
+{'loss': 1.1804, 'learning_rate': 1.502977099236641e-05, 'epoch': 40.57}
+{'loss': 1.1736, 'learning_rate': 1.4800763358778624e-05, 'epoch': 40.72}
+{'loss': 1.1782, 'learning_rate': 1.4571755725190838e-05, 'epoch': 40.86}
+{'loss': 1.1842, 'learning_rate': 1.4342748091603053e-05, 'epoch': 41.01}
+
+
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+
                                               

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+
                                               Saving model checkpoint to ./checkpoint-28500
+Configuration saved in ./checkpoint-28500/config.json
+Model weights saved in ./checkpoint-28500/pytorch_model.bin
+Configuration saved in ./checkpoint-28500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-27000] due to args.save_total_limit
+
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 83%|████████▎ | 29000/34750 [26:34:56<7:15:08,  4.54s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.23562349379062653, 'eval_wer': 0.31516158260344307, 'eval_cer': 0.10258227050858132, 'eval_runtime': 40.492, 'eval_samples_per_second': 11.261, 'eval_steps_per_second': 1.408, 'epoch': 41.01}
+{'loss': 1.1595, 'learning_rate': 1.4113740458015266e-05, 'epoch': 41.15}
+{'loss': 1.1527, 'learning_rate': 1.388473282442748e-05, 'epoch': 41.29}
+{'loss': 1.1517, 'learning_rate': 1.3655725190839693e-05, 'epoch': 41.44}
+{'loss': 1.1609, 'learning_rate': 1.3426717557251907e-05, 'epoch': 41.58}
+{'loss': 1.1668, 'learning_rate': 1.3197709923664122e-05, 'epoch': 41.73}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-29000
+Configuration saved in ./checkpoint-29000/config.json
+Model weights saved in ./checkpoint-29000/pytorch_model.bin
+Configuration saved in ./checkpoint-29000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-27500] due to args.save_total_limit
+
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 85%|████████▍ | 29500/34750 [27:02:00<6:08:13,  4.21s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.23187227547168732, 'eval_wer': 0.3187858652974932, 'eval_cer': 0.10246417886946937, 'eval_runtime': 40.5813, 'eval_samples_per_second': 11.237, 'eval_steps_per_second': 1.405, 'epoch': 41.73}
+{'loss': 1.1536, 'learning_rate': 1.2968702290076335e-05, 'epoch': 41.87}
+{'loss': 1.1649, 'learning_rate': 1.2739694656488549e-05, 'epoch': 42.01}
+{'loss': 1.1459, 'learning_rate': 1.2510687022900762e-05, 'epoch': 42.16}
+{'loss': 1.1495, 'learning_rate': 1.2281679389312975e-05, 'epoch': 42.3}
+{'loss': 1.1448, 'learning_rate': 1.205267175572519e-05, 'epoch': 42.45}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-29500
+Configuration saved in ./checkpoint-29500/config.json
+Model weights saved in ./checkpoint-29500/pytorch_model.bin
+Configuration saved in ./checkpoint-29500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-28000] due to args.save_total_limit
+
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 86%|████████▋ | 30000/34750 [27:29:03<5:00:06,  3.79s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.2292834371328354, 'eval_wer': 0.3098761703412866, 'eval_cer': 0.09947252401196661, 'eval_runtime': 41.732, 'eval_samples_per_second': 10.927, 'eval_steps_per_second': 1.366, 'epoch': 42.45}
+{'loss': 1.1408, 'learning_rate': 1.1823664122137404e-05, 'epoch': 42.59}
+{'loss': 1.1458, 'learning_rate': 1.1594656488549618e-05, 'epoch': 42.73}
+{'loss': 1.1358, 'learning_rate': 1.1365648854961831e-05, 'epoch': 42.88}
+{'loss': 1.1519, 'learning_rate': 1.1136641221374044e-05, 'epoch': 43.02}
+{'loss': 1.1327, 'learning_rate': 1.0909923664122137e-05, 'epoch': 43.17}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-30000
+Configuration saved in ./checkpoint-30000/config.json
+Model weights saved in ./checkpoint-30000/pytorch_model.bin
+Configuration saved in ./checkpoint-30000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-28500] due to args.save_total_limit
+
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 88%|████████▊ | 30500/34750 [27:56:00<4:27:04,  3.77s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.2265164852142334, 'eval_wer': 0.3047417698580489, 'eval_cer': 0.09793733270351125, 'eval_runtime': 40.9338, 'eval_samples_per_second': 11.14, 'eval_steps_per_second': 1.392, 'epoch': 43.17}
+{'loss': 1.1322, 'learning_rate': 1.068091603053435e-05, 'epoch': 43.31}
+{'loss': 1.1392, 'learning_rate': 1.0451908396946564e-05, 'epoch': 43.45}
+{'loss': 1.1318, 'learning_rate': 1.0222900763358777e-05, 'epoch': 43.6}
+{'loss': 1.1321, 'learning_rate': 9.99389312977099e-06, 'epoch': 43.74}
+{'loss': 1.1307, 'learning_rate': 9.764885496183206e-06, 'epoch': 43.88}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-30500
+Configuration saved in ./checkpoint-30500/config.json
+Model weights saved in ./checkpoint-30500/pytorch_model.bin
+Configuration saved in ./checkpoint-30500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-29000] due to args.save_total_limit
+
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 89%|████████▉ | 31000/34750 [28:22:57<3:36:04,  3.46s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.22221311926841736, 'eval_wer': 0.30776200543642407, 'eval_cer': 0.09888206581640686, 'eval_runtime': 40.9097, 'eval_samples_per_second': 11.147, 'eval_steps_per_second': 1.393, 'epoch': 43.88}
+{'loss': 1.1358, 'learning_rate': 9.53587786259542e-06, 'epoch': 44.03}
+{'loss': 1.1342, 'learning_rate': 9.306870229007633e-06, 'epoch': 44.17}
+{'loss': 1.1348, 'learning_rate': 9.077862595419846e-06, 'epoch': 44.32}
+{'loss': 1.1294, 'learning_rate': 8.84885496183206e-06, 'epoch': 44.46}
+{'loss': 1.1419, 'learning_rate': 8.619847328244275e-06, 'epoch': 44.6}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-31000
+Configuration saved in ./checkpoint-31000/config.json
+Model weights saved in ./checkpoint-31000/pytorch_model.bin
+Configuration saved in ./checkpoint-31000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-29500] due to args.save_total_limit
+
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 91%|█████████ | 31500/34750 [28:49:56<2:49:03,  3.12s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.22149430215358734, 'eval_wer': 0.3038356991845364, 'eval_cer': 0.09813415210203118, 'eval_runtime': 40.8027, 'eval_samples_per_second': 11.176, 'eval_steps_per_second': 1.397, 'epoch': 44.6}
+{'loss': 1.1191, 'learning_rate': 8.390839694656488e-06, 'epoch': 44.75}
+{'loss': 1.1223, 'learning_rate': 8.161832061068702e-06, 'epoch': 44.89}
+{'loss': 1.1393, 'learning_rate': 7.932824427480915e-06, 'epoch': 45.04}
+{'loss': 1.1172, 'learning_rate': 7.703816793893129e-06, 'epoch': 45.18}
+{'loss': 1.1231, 'learning_rate': 7.474809160305343e-06, 'epoch': 45.32}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-31500
+Configuration saved in ./checkpoint-31500/config.json
+Model weights saved in ./checkpoint-31500/pytorch_model.bin
+Configuration saved in ./checkpoint-31500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-30000] due to args.save_total_limit
+
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 92%|█████████▏| 32000/34750 [29:16:54<2:11:54,  2.88s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.2193477302789688, 'eval_wer': 0.3012684989429176, 'eval_cer': 0.09722878286883956, 'eval_runtime': 40.6396, 'eval_samples_per_second': 11.221, 'eval_steps_per_second': 1.403, 'epoch': 45.32}
+{'loss': 1.1289, 'learning_rate': 7.245801526717557e-06, 'epoch': 45.47}
+{'loss': 1.1083, 'learning_rate': 7.016793893129771e-06, 'epoch': 45.61}
+{'loss': 1.109, 'learning_rate': 6.787786259541984e-06, 'epoch': 45.75}
+{'loss': 1.1218, 'learning_rate': 6.558778625954198e-06, 'epoch': 45.9}
+{'loss': 1.139, 'learning_rate': 6.329770992366412e-06, 'epoch': 46.04}
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-32000
+Configuration saved in ./checkpoint-32000/config.json
+Model weights saved in ./checkpoint-32000/pytorch_model.bin
+Configuration saved in ./checkpoint-32000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-30500] due to args.save_total_limit
+
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 94%|█████████▎| 32500/34750 [29:43:47<1:47:18,  2.86s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.2162453532218933, 'eval_wer': 0.30066445182724255, 'eval_cer': 0.09683514407179972, 'eval_runtime': 41.1951, 'eval_samples_per_second': 11.069, 'eval_steps_per_second': 1.384, 'epoch': 46.04}
+{'loss': 1.1155, 'learning_rate': 6.100763358778626e-06, 'epoch': 46.19}
+{'loss': 1.1212, 'learning_rate': 5.8717557251908395e-06, 'epoch': 46.33}
+{'loss': 1.1149, 'learning_rate': 5.642748091603053e-06, 'epoch': 46.47}
+{'loss': 1.1183, 'learning_rate': 5.413740458015267e-06, 'epoch': 46.62}
+{'loss': 1.1114, 'learning_rate': 5.184732824427481e-06, 'epoch': 46.76}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-32500
+Configuration saved in ./checkpoint-32500/config.json
+Model weights saved in ./checkpoint-32500/pytorch_model.bin
+Configuration saved in ./checkpoint-32500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-31000] due to args.save_total_limit
+
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 95%|█████████▍| 33000/34750 [30:10:44<1:16:49,  2.63s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.2121613770723343, 'eval_wer': 0.2982482633645424, 'eval_cer': 0.09596913871831207, 'eval_runtime': 40.6982, 'eval_samples_per_second': 11.204, 'eval_steps_per_second': 1.401, 'epoch': 46.76}
+{'loss': 1.1091, 'learning_rate': 4.955725190839695e-06, 'epoch': 46.91}
+{'loss': 1.1148, 'learning_rate': 4.726717557251908e-06, 'epoch': 47.05}
+{'loss': 1.0962, 'learning_rate': 4.497709923664122e-06, 'epoch': 47.19}
+{'loss': 1.0984, 'learning_rate': 4.268702290076335e-06, 'epoch': 47.34}
+{'loss': 1.111, 'learning_rate': 4.03969465648855e-06, 'epoch': 47.48}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-33000
+Configuration saved in ./checkpoint-33000/config.json
+Model weights saved in ./checkpoint-33000/pytorch_model.bin
+Configuration saved in ./checkpoint-33000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-31500] due to args.save_total_limit
+
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 96%|█████████▋| 33500/34750 [30:37:37<48:05,  2.31s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.21248506009578705, 'eval_wer': 0.2946239806704923, 'eval_cer': 0.09482758620689655, 'eval_runtime': 40.6368, 'eval_samples_per_second': 11.221, 'eval_steps_per_second': 1.403, 'epoch': 47.48}
+{'loss': 1.1031, 'learning_rate': 3.810687022900763e-06, 'epoch': 47.63}
+{'loss': 1.1159, 'learning_rate': 3.581679389312977e-06, 'epoch': 47.77}
+{'loss': 1.0905, 'learning_rate': 3.352671755725191e-06, 'epoch': 47.91}
+{'loss': 1.1087, 'learning_rate': 3.1236641221374048e-06, 'epoch': 48.06}
+{'loss': 1.0982, 'learning_rate': 2.894656488549618e-06, 'epoch': 48.2}
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-33500
+Configuration saved in ./checkpoint-33500/config.json
+Model weights saved in ./checkpoint-33500/pytorch_model.bin
+Configuration saved in ./checkpoint-33500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-32000] due to args.save_total_limit
+
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 98%|█████████▊| 34000/34750 [31:04:31<29:01,  2.32s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.2098563313484192, 'eval_wer': 0.2956810631229236, 'eval_cer': 0.09533931664304834, 'eval_runtime': 40.5946, 'eval_samples_per_second': 11.233, 'eval_steps_per_second': 1.404, 'epoch': 48.2}
+{'loss': 1.0947, 'learning_rate': 2.66793893129771e-06, 'epoch': 48.34}
+{'loss': 1.1102, 'learning_rate': 2.4389312977099237e-06, 'epoch': 48.49}
+{'loss': 1.0891, 'learning_rate': 2.209923664122137e-06, 'epoch': 48.63}
+{'loss': 1.0937, 'learning_rate': 1.980916030534351e-06, 'epoch': 48.78}
+{'loss': 1.109, 'learning_rate': 1.7519083969465647e-06, 'epoch': 48.92}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-34000
+Configuration saved in ./checkpoint-34000/config.json
+Model weights saved in ./checkpoint-34000/pytorch_model.bin
+Configuration saved in ./checkpoint-34000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-32500] due to args.save_total_limit
+
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 99%|█████████▉| 34500/34750 [31:31:20<08:57,  2.15s/it]The following columns in the evaluation set  don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
+***** Running Evaluation *****
+  Num examples = 456
+  Batch size = 8
+{'eval_loss': 0.20918497443199158, 'eval_wer': 0.29553005134400484, 'eval_cer': 0.09545740828216029, 'eval_runtime': 40.877, 'eval_samples_per_second': 11.155, 'eval_steps_per_second': 1.394, 'epoch': 48.92}
+{'loss': 1.097, 'learning_rate': 1.5229007633587786e-06, 'epoch': 49.06}
+{'loss': 1.0909, 'learning_rate': 1.2938931297709922e-06, 'epoch': 49.21}
+{'loss': 1.1008, 'learning_rate': 1.0648854961832059e-06, 'epoch': 49.35}
+{'loss': 1.0904, 'learning_rate': 8.358778625954198e-07, 'epoch': 49.5}
+{'loss': 1.0905, 'learning_rate': 6.068702290076335e-07, 'epoch': 49.64}
+
+
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+
                                               

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                                               Saving model checkpoint to ./checkpoint-34500
+Configuration saved in ./checkpoint-34500/config.json
+Model weights saved in ./checkpoint-34500/pytorch_model.bin
+Configuration saved in ./checkpoint-34500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-33000] due to args.save_total_limit
+
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+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+
                                                        

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+Saving model checkpoint to ./
+Configuration saved in ./config.json
+Model weights saved in ./pytorch_model.bin
+Configuration saved in ./preprocessor_config.json
+Saving model checkpoint to ./
+Configuration saved in ./config.json
+Model weights saved in ./pytorch_model.bin
+Configuration saved in ./preprocessor_config.json