diff --git "a/nohup.out" "b/nohup.out"
--- "a/nohup.out"
+++ "b/nohup.out"
@@ -26614,3 +26614,10587 @@ Configuration saved in ./checkpoint-48000/config.json
 Model weights saved in ./checkpoint-48000/pytorch_model.bin
 Configuration saved in ./checkpoint-48000/preprocessor_config.json
 Configuration saved in ./preprocessor_config.json
+Deleting older checkpoint [checkpoint-46500] due to args.save_total_limit
+
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 72%|███████▏  | 48500/67700 [29:08:45<8:40:04,  1.63s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8346221446990967, 'eval_wer': 0.8495794161306284, 'eval_cer': 0.21513752258582614, 'eval_runtime': 113.9435, 'eval_samples_per_second': 17.737, 'eval_steps_per_second': 2.22, 'epoch': 70.9}
+{'loss': 1.5342, 'learning_rate': 2.2401826484018262e-05, 'epoch': 71.05}
+{'loss': 1.4723, 'learning_rate': 2.228767123287671e-05, 'epoch': 71.2}
+{'loss': 1.4929, 'learning_rate': 2.217351598173516e-05, 'epoch': 71.34}
+{'loss': 1.4785, 'learning_rate': 2.2059360730593606e-05, 'epoch': 71.49}
+{'loss': 1.4827, 'learning_rate': 2.1945205479452054e-05, 'epoch': 71.64}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-48500
+Configuration saved in ./checkpoint-48500/config.json
+Model weights saved in ./checkpoint-48500/pytorch_model.bin
+Configuration saved in ./checkpoint-48500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-47000] due to args.save_total_limit
+
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 72%|███████▏  | 49000/67700 [29:25:35<11:40:17,  2.25s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8362293243408203, 'eval_wer': 0.8624443344878773, 'eval_cer': 0.216864083517366, 'eval_runtime': 114.6857, 'eval_samples_per_second': 17.622, 'eval_steps_per_second': 2.206, 'epoch': 71.64}
+{'loss': 1.4732, 'learning_rate': 2.1831050228310502e-05, 'epoch': 71.79}
+{'loss': 1.4611, 'learning_rate': 2.1716894977168947e-05, 'epoch': 71.93}
+{'loss': 1.4621, 'learning_rate': 2.1602739726027395e-05, 'epoch': 72.08}
+{'loss': 1.4636, 'learning_rate': 2.1488584474885843e-05, 'epoch': 72.23}
+{'loss': 1.4513, 'learning_rate': 2.137442922374429e-05, 'epoch': 72.38}
+
+
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                                                 Saving model checkpoint to ./checkpoint-49000
+Configuration saved in ./checkpoint-49000/config.json
+Model weights saved in ./checkpoint-49000/pytorch_model.bin
+Configuration saved in ./checkpoint-49000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-47500] due to args.save_total_limit
+
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 73%|███████▎  | 49500/67700 [29:42:32<8:47:37,  1.74s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.835486888885498, 'eval_wer': 0.8451261751608115, 'eval_cer': 0.21369202971290904, 'eval_runtime': 113.6809, 'eval_samples_per_second': 17.778, 'eval_steps_per_second': 2.226, 'epoch': 72.38}
+{'loss': 1.4469, 'learning_rate': 2.126027397260274e-05, 'epoch': 72.53}
+{'loss': 1.4521, 'learning_rate': 2.1146118721461187e-05, 'epoch': 72.67}
+{'loss': 1.4285, 'learning_rate': 2.1031963470319635e-05, 'epoch': 72.82}
+{'loss': 1.4663, 'learning_rate': 2.091780821917808e-05, 'epoch': 72.97}
+{'loss': 1.4988, 'learning_rate': 2.0803652968036527e-05, 'epoch': 73.12}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-49500
+Configuration saved in ./checkpoint-49500/config.json
+Model weights saved in ./checkpoint-49500/pytorch_model.bin
+Configuration saved in ./checkpoint-49500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-48000] due to args.save_total_limit
+
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 74%|███████▍  | 50000/67700 [29:59:21<8:42:05,  1.77s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8324964642524719, 'eval_wer': 0.8624443344878773, 'eval_cer': 0.21606103192130094, 'eval_runtime': 114.8092, 'eval_samples_per_second': 17.603, 'eval_steps_per_second': 2.204, 'epoch': 73.12}
+{'loss': 1.4531, 'learning_rate': 2.0689497716894975e-05, 'epoch': 73.26}
+{'loss': 1.4415, 'learning_rate': 2.0576484018264837e-05, 'epoch': 73.41}
+{'loss': 1.4415, 'learning_rate': 2.0462328767123285e-05, 'epoch': 73.56}
+{'loss': 1.4495, 'learning_rate': 2.0348173515981733e-05, 'epoch': 73.71}
+{'loss': 1.4267, 'learning_rate': 2.023401826484018e-05, 'epoch': 73.85}
+
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                                                 Saving model checkpoint to ./checkpoint-50000
+Configuration saved in ./checkpoint-50000/config.json
+Model weights saved in ./checkpoint-50000/pytorch_model.bin
+Configuration saved in ./checkpoint-50000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-48500] due to args.save_total_limit
+
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 75%|███████▍  | 50500/67700 [30:16:05<8:54:44,  1.87s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8395733833312988, 'eval_wer': 0.8480950024740228, 'eval_cer': 0.21565950612326842, 'eval_runtime': 113.3592, 'eval_samples_per_second': 17.828, 'eval_steps_per_second': 2.232, 'epoch': 73.85}
+{'loss': 1.4187, 'learning_rate': 2.011986301369863e-05, 'epoch': 74.0}
+{'loss': 1.4261, 'learning_rate': 2.0005707762557077e-05, 'epoch': 74.15}
+{'loss': 1.3826, 'learning_rate': 1.9891552511415522e-05, 'epoch': 74.3}
+{'loss': 1.4491, 'learning_rate': 1.977739726027397e-05, 'epoch': 74.45}
+{'loss': 1.4421, 'learning_rate': 1.9663242009132418e-05, 'epoch': 74.59}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-50500
+Configuration saved in ./checkpoint-50500/config.json
+Model weights saved in ./checkpoint-50500/pytorch_model.bin
+Configuration saved in ./checkpoint-50500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-49000] due to args.save_total_limit
+
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 75%|███████▌  | 51000/67700 [30:33:02<8:35:08,  1.85s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8354990482330322, 'eval_wer': 0.8490846115784265, 'eval_cer': 0.21216623168038545, 'eval_runtime': 114.0851, 'eval_samples_per_second': 17.715, 'eval_steps_per_second': 2.218, 'epoch': 74.59}
+{'loss': 1.4689, 'learning_rate': 1.9549086757990866e-05, 'epoch': 74.74}
+{'loss': 1.4471, 'learning_rate': 1.9434931506849314e-05, 'epoch': 74.89}
+{'loss': 1.4333, 'learning_rate': 1.9320776255707762e-05, 'epoch': 75.04}
+{'loss': 1.4211, 'learning_rate': 1.920662100456621e-05, 'epoch': 75.18}
+{'loss': 1.4311, 'learning_rate': 1.9092465753424654e-05, 'epoch': 75.33}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-51000
+Configuration saved in ./checkpoint-51000/config.json
+Model weights saved in ./checkpoint-51000/pytorch_model.bin
+Configuration saved in ./checkpoint-51000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-49500] due to args.save_total_limit
+
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 76%|███████▌  | 51500/67700 [30:49:49<5:25:01,  1.20s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8357799649238586, 'eval_wer': 0.8476001979218208, 'eval_cer': 0.2118048584621562, 'eval_runtime': 112.9085, 'eval_samples_per_second': 17.899, 'eval_steps_per_second': 2.241, 'epoch': 75.33}
+{'loss': 1.4136, 'learning_rate': 1.8978310502283102e-05, 'epoch': 75.48}
+{'loss': 1.4144, 'learning_rate': 1.886415525114155e-05, 'epoch': 75.63}
+{'loss': 1.4479, 'learning_rate': 1.875e-05, 'epoch': 75.78}
+{'loss': 1.4218, 'learning_rate': 1.8635844748858446e-05, 'epoch': 75.92}
+{'loss': 1.4174, 'learning_rate': 1.8521689497716894e-05, 'epoch': 76.07}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-51500
+Configuration saved in ./checkpoint-51500/config.json
+Model weights saved in ./checkpoint-51500/pytorch_model.bin
+Configuration saved in ./checkpoint-51500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-50000] due to args.save_total_limit
+
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 77%|███████▋  | 52000/67700 [31:06:42<5:10:26,  1.19s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8288608193397522, 'eval_wer': 0.8451261751608115, 'eval_cer': 0.21007829753061635, 'eval_runtime': 114.429, 'eval_samples_per_second': 17.662, 'eval_steps_per_second': 2.211, 'epoch': 76.07}
+{'loss': 1.4225, 'learning_rate': 1.8407534246575342e-05, 'epoch': 76.22}
+{'loss': 1.4181, 'learning_rate': 1.8294520547945204e-05, 'epoch': 76.37}
+{'loss': 1.3998, 'learning_rate': 1.8180365296803652e-05, 'epoch': 76.51}
+{'loss': 1.4383, 'learning_rate': 1.8066210045662097e-05, 'epoch': 76.66}
+{'loss': 1.4349, 'learning_rate': 1.7952054794520545e-05, 'epoch': 76.81}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-52000
+Configuration saved in ./checkpoint-52000/config.json
+Model weights saved in ./checkpoint-52000/pytorch_model.bin
+Configuration saved in ./checkpoint-52000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-50500] due to args.save_total_limit
+
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 78%|███████▊  | 52500/67700 [31:23:43<8:15:40,  1.96s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8371652960777283, 'eval_wer': 0.8579910935180604, 'eval_cer': 0.21401325035133506, 'eval_runtime': 113.9028, 'eval_samples_per_second': 17.743, 'eval_steps_per_second': 2.221, 'epoch': 76.81}
+{'loss': 1.4007, 'learning_rate': 1.7837899543378993e-05, 'epoch': 76.96}
+{'loss': 1.4512, 'learning_rate': 1.772374429223744e-05, 'epoch': 77.1}
+{'loss': 1.3999, 'learning_rate': 1.760958904109589e-05, 'epoch': 77.25}
+{'loss': 1.4224, 'learning_rate': 1.7495433789954337e-05, 'epoch': 77.4}
+{'loss': 1.3959, 'learning_rate': 1.7381278538812785e-05, 'epoch': 77.55}
+
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+
                                                 Saving model checkpoint to ./checkpoint-52500
+Configuration saved in ./checkpoint-52500/config.json
+Model weights saved in ./checkpoint-52500/pytorch_model.bin
+Configuration saved in ./checkpoint-52500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-51000] due to args.save_total_limit
+
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 78%|███████▊  | 53000/67700 [31:40:30<5:34:17,  1.36s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8324997425079346, 'eval_wer': 0.8436417615042059, 'eval_cer': 0.21156394298333667, 'eval_runtime': 112.9164, 'eval_samples_per_second': 17.898, 'eval_steps_per_second': 2.241, 'epoch': 77.55}
+{'loss': 1.4086, 'learning_rate': 1.726712328767123e-05, 'epoch': 77.7}
+{'loss': 1.4345, 'learning_rate': 1.7152968036529677e-05, 'epoch': 77.84}
+{'loss': 1.3828, 'learning_rate': 1.7038812785388125e-05, 'epoch': 77.99}
+{'loss': 1.4159, 'learning_rate': 1.6924657534246573e-05, 'epoch': 78.14}
+{'loss': 1.4087, 'learning_rate': 1.681050228310502e-05, 'epoch': 78.29}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-53000
+Configuration saved in ./checkpoint-53000/config.json
+Model weights saved in ./checkpoint-53000/pytorch_model.bin
+Configuration saved in ./checkpoint-53000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-51500] due to args.save_total_limit
+
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 79%|███████▉  | 53500/67700 [31:57:29<8:12:10,  2.08s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8351333141326904, 'eval_wer': 0.8446313706086096, 'eval_cer': 0.21051997590845212, 'eval_runtime': 114.5275, 'eval_samples_per_second': 17.646, 'eval_steps_per_second': 2.209, 'epoch': 78.29}
+{'loss': 1.4303, 'learning_rate': 1.669634703196347e-05, 'epoch': 78.43}
+{'loss': 1.4233, 'learning_rate': 1.6582191780821917e-05, 'epoch': 78.58}
+{'loss': 1.3758, 'learning_rate': 1.6468036529680362e-05, 'epoch': 78.73}
+{'loss': 1.3703, 'learning_rate': 1.635388127853881e-05, 'epoch': 78.88}
+{'loss': 1.415, 'learning_rate': 1.6239726027397258e-05, 'epoch': 79.03}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-53500
+Configuration saved in ./checkpoint-53500/config.json
+Model weights saved in ./checkpoint-53500/pytorch_model.bin
+Configuration saved in ./checkpoint-53500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-52000] due to args.save_total_limit
+
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 80%|███████▉  | 54000/67700 [32:14:20<7:45:49,  2.04s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8363248109817505, 'eval_wer': 0.8476001979218208, 'eval_cer': 0.21228668941979523, 'eval_runtime': 115.4621, 'eval_samples_per_second': 17.504, 'eval_steps_per_second': 2.191, 'epoch': 79.03}
+{'loss': 1.3768, 'learning_rate': 1.6125570776255706e-05, 'epoch': 79.17}
+{'loss': 1.399, 'learning_rate': 1.6011415525114154e-05, 'epoch': 79.32}
+{'loss': 1.4076, 'learning_rate': 1.5897260273972602e-05, 'epoch': 79.47}
+{'loss': 1.3912, 'learning_rate': 1.5784246575342464e-05, 'epoch': 79.62}
+{'loss': 1.4122, 'learning_rate': 1.567009132420091e-05, 'epoch': 79.76}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-54000
+Configuration saved in ./checkpoint-54000/config.json
+Model weights saved in ./checkpoint-54000/pytorch_model.bin
+Configuration saved in ./checkpoint-54000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-52500] due to args.save_total_limit
+
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 81%|████████  | 54500/67700 [32:31:12<5:23:11,  1.47s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8309991359710693, 'eval_wer': 0.8480950024740228, 'eval_cer': 0.21116241718530415, 'eval_runtime': 113.1017, 'eval_samples_per_second': 17.869, 'eval_steps_per_second': 2.237, 'epoch': 79.76}
+{'loss': 1.3916, 'learning_rate': 1.5557077625570773e-05, 'epoch': 79.91}
+{'loss': 1.4167, 'learning_rate': 1.544292237442922e-05, 'epoch': 80.06}
+{'loss': 1.4019, 'learning_rate': 1.532876712328767e-05, 'epoch': 80.21}
+{'loss': 1.3909, 'learning_rate': 1.5214611872146117e-05, 'epoch': 80.35}
+{'loss': 1.3969, 'learning_rate': 1.5100456621004565e-05, 'epoch': 80.5}
+
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                                                 Saving model checkpoint to ./checkpoint-54500
+Configuration saved in ./checkpoint-54500/config.json
+Model weights saved in ./checkpoint-54500/pytorch_model.bin
+Configuration saved in ./checkpoint-54500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-53000] due to args.save_total_limit
+
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 81%|████████  | 55000/67700 [32:48:02<7:36:46,  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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8239215612411499, 'eval_wer': 0.8446313706086096, 'eval_cer': 0.20951616141337082, 'eval_runtime': 113.6855, 'eval_samples_per_second': 17.777, 'eval_steps_per_second': 2.225, 'epoch': 80.5}
+{'loss': 1.3952, 'learning_rate': 1.4986301369863012e-05, 'epoch': 80.65}
+{'loss': 1.3998, 'learning_rate': 1.487214611872146e-05, 'epoch': 80.8}
+{'loss': 1.3902, 'learning_rate': 1.4757990867579908e-05, 'epoch': 80.94}
+{'loss': 1.3526, 'learning_rate': 1.4643835616438356e-05, 'epoch': 81.09}
+{'loss': 1.361, 'learning_rate': 1.4529680365296802e-05, 'epoch': 81.24}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-55000
+Configuration saved in ./checkpoint-55000/config.json
+Model weights saved in ./checkpoint-55000/pytorch_model.bin
+Configuration saved in ./checkpoint-55000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-53500] due to args.save_total_limit
+
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 82%|████████▏ | 55500/67700 [33:04:48<6:31:03,  1.92s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8281779289245605, 'eval_wer': 0.8426521523998021, 'eval_cer': 0.20907448303553502, 'eval_runtime': 112.7357, 'eval_samples_per_second': 17.927, 'eval_steps_per_second': 2.244, 'epoch': 81.24}
+{'loss': 1.4054, 'learning_rate': 1.441552511415525e-05, 'epoch': 81.39}
+{'loss': 1.4048, 'learning_rate': 1.4302511415525112e-05, 'epoch': 81.54}
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                                                 Saving model checkpoint to ./checkpoint-55500
+Configuration saved in ./checkpoint-55500/config.json
+Model weights saved in ./checkpoint-55500/pytorch_model.bin
+Configuration saved in ./checkpoint-55500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-54000] due to args.save_total_limit
+
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 83%|████████▎ | 56000/67700 [33:21:44<5:13:33,  1.61s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8281756043434143, 'eval_wer': 0.8406729341909945, 'eval_cer': 0.20923509335474805, 'eval_runtime': 114.1698, 'eval_samples_per_second': 17.702, 'eval_steps_per_second': 2.216, 'epoch': 81.98}
+{'loss': 1.4021, 'learning_rate': 1.3845890410958902e-05, 'epoch': 82.13}
+{'loss': 1.3655, 'learning_rate': 1.373173515981735e-05, 'epoch': 82.27}
+{'loss': 1.368, 'learning_rate': 1.3617579908675798e-05, 'epoch': 82.42}
+{'loss': 1.355, 'learning_rate': 1.3503424657534244e-05, 'epoch': 82.57}
+{'loss': 1.3677, 'learning_rate': 1.3389269406392692e-05, 'epoch': 82.72}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-56000
+Configuration saved in ./checkpoint-56000/config.json
+Model weights saved in ./checkpoint-56000/pytorch_model.bin
+Configuration saved in ./checkpoint-56000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-54500] due to args.save_total_limit
+
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 83%|████████▎ | 56500/67700 [33:38:33<7:03:54,  2.27s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8234991431236267, 'eval_wer': 0.8436417615042059, 'eval_cer': 0.2083517365990765, 'eval_runtime': 113.0903, 'eval_samples_per_second': 17.871, 'eval_steps_per_second': 2.237, 'epoch': 82.72}
+{'loss': 1.3752, 'learning_rate': 1.327511415525114e-05, 'epoch': 82.87}
+{'loss': 1.3599, 'learning_rate': 1.3160958904109586e-05, 'epoch': 83.01}
+{'loss': 1.331, 'learning_rate': 1.3046803652968034e-05, 'epoch': 83.16}
+{'loss': 1.3881, 'learning_rate': 1.2932648401826482e-05, 'epoch': 83.31}
+{'loss': 1.3361, 'learning_rate': 1.281849315068493e-05, 'epoch': 83.46}
+
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                                                 Saving model checkpoint to ./checkpoint-56500
+Configuration saved in ./checkpoint-56500/config.json
+Model weights saved in ./checkpoint-56500/pytorch_model.bin
+Configuration saved in ./checkpoint-56500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-55000] due to args.save_total_limit
+
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 84%|████████▍ | 57000/67700 [33:55:23<4:53:32,  1.65s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8230801224708557, 'eval_wer': 0.8377041068777833, 'eval_cer': 0.20686609114635615, 'eval_runtime': 113.4808, 'eval_samples_per_second': 17.809, 'eval_steps_per_second': 2.229, 'epoch': 83.46}
+{'loss': 1.3507, 'learning_rate': 1.2704337899543377e-05, 'epoch': 83.6}
+{'loss': 1.3529, 'learning_rate': 1.2590182648401825e-05, 'epoch': 83.75}
+{'loss': 1.3656, 'learning_rate': 1.2476027397260273e-05, 'epoch': 83.9}
+{'loss': 1.3621, 'learning_rate': 1.2361872146118719e-05, 'epoch': 84.05}
+{'loss': 1.3779, 'learning_rate': 1.2247716894977167e-05, 'epoch': 84.19}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-57000
+Configuration saved in ./checkpoint-57000/config.json
+Model weights saved in ./checkpoint-57000/pytorch_model.bin
+Configuration saved in ./checkpoint-57000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-55500] due to args.save_total_limit
+
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 85%|████████▍ | 57500/67700 [34:12:11<4:47:01,  1.69s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8206142783164978, 'eval_wer': 0.8436417615042059, 'eval_cer': 0.2069865488857659, 'eval_runtime': 112.7557, 'eval_samples_per_second': 17.924, 'eval_steps_per_second': 2.244, 'epoch': 84.19}
+{'loss': 1.3326, 'learning_rate': 1.2133561643835615e-05, 'epoch': 84.34}
+{'loss': 1.3411, 'learning_rate': 1.2019406392694063e-05, 'epoch': 84.49}
+{'loss': 1.3424, 'learning_rate': 1.190525114155251e-05, 'epoch': 84.64}
+{'loss': 1.342, 'learning_rate': 1.1791095890410957e-05, 'epoch': 84.79}
+{'loss': 1.3727, 'learning_rate': 1.1676940639269405e-05, 'epoch': 84.93}
+
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                                                 Saving model checkpoint to ./checkpoint-57500
+Configuration saved in ./checkpoint-57500/config.json
+Model weights saved in ./checkpoint-57500/pytorch_model.bin
+Configuration saved in ./checkpoint-57500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-56000] due to args.save_total_limit
+
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 86%|████████▌ | 58000/67700 [34:28:55<5:55:20,  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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8204257488250732, 'eval_wer': 0.839188520534389, 'eval_cer': 0.20646456534832364, 'eval_runtime': 112.5887, 'eval_samples_per_second': 17.95, 'eval_steps_per_second': 2.247, 'epoch': 84.93}
+{'loss': 1.3352, 'learning_rate': 1.1562785388127852e-05, 'epoch': 85.08}
+{'loss': 1.3232, 'learning_rate': 1.14486301369863e-05, 'epoch': 85.23}
+{'loss': 1.3534, 'learning_rate': 1.1334474885844748e-05, 'epoch': 85.38}
+{'loss': 1.3834, 'learning_rate': 1.1220319634703194e-05, 'epoch': 85.52}
+{'loss': 1.3317, 'learning_rate': 1.1106164383561642e-05, 'epoch': 85.67}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-58000
+Configuration saved in ./checkpoint-58000/config.json
+Model weights saved in ./checkpoint-58000/pytorch_model.bin
+Configuration saved in ./checkpoint-58000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-56500] due to args.save_total_limit
+
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 86%|████████▋ | 58500/67700 [34:45:48<4:29:56,  1.76s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8206654787063599, 'eval_wer': 0.8436417615042059, 'eval_cer': 0.20654487050793013, 'eval_runtime': 113.345, 'eval_samples_per_second': 17.831, 'eval_steps_per_second': 2.232, 'epoch': 85.67}
+{'loss': 1.3349, 'learning_rate': 1.099200913242009e-05, 'epoch': 85.82}
+{'loss': 1.326, 'learning_rate': 1.0877853881278538e-05, 'epoch': 85.97}
+{'loss': 1.3541, 'learning_rate': 1.0763698630136984e-05, 'epoch': 86.12}
+{'loss': 1.3306, 'learning_rate': 1.0649543378995432e-05, 'epoch': 86.26}
+{'loss': 1.3332, 'learning_rate': 1.053538812785388e-05, 'epoch': 86.41}
+
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                                                 Saving model checkpoint to ./checkpoint-58500
+Configuration saved in ./checkpoint-58500/config.json
+Model weights saved in ./checkpoint-58500/pytorch_model.bin
+Configuration saved in ./checkpoint-58500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-57000] due to args.save_total_limit
+
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 87%|████████▋ | 59000/67700 [35:02:28<3:43:49,  1.54s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.818649172782898, 'eval_wer': 0.8357248886689758, 'eval_cer': 0.20554105601284883, 'eval_runtime': 113.2293, 'eval_samples_per_second': 17.849, 'eval_steps_per_second': 2.234, 'epoch': 86.41}
+{'loss': 1.3258, 'learning_rate': 1.0421232876712326e-05, 'epoch': 86.56}
+{'loss': 1.3269, 'learning_rate': 1.0307077625570774e-05, 'epoch': 86.71}
+{'loss': 1.3411, 'learning_rate': 1.0192922374429222e-05, 'epoch': 86.85}
+{'loss': 1.3136, 'learning_rate': 1.007876712328767e-05, 'epoch': 87.0}
+{'loss': 1.3299, 'learning_rate': 9.964611872146117e-06, 'epoch': 87.15}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-59000
+Configuration saved in ./checkpoint-59000/config.json
+Model weights saved in ./checkpoint-59000/pytorch_model.bin
+Configuration saved in ./checkpoint-59000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-57500] due to args.save_total_limit
+
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 88%|████████▊ | 59500/67700 [35:19:15<3:29:01,  1.53s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8192667961120605, 'eval_wer': 0.8416625432953984, 'eval_cer': 0.20754868500301143, 'eval_runtime': 113.1322, 'eval_samples_per_second': 17.864, 'eval_steps_per_second': 2.236, 'epoch': 87.15}
+{'loss': 1.3134, 'learning_rate': 9.850456621004565e-06, 'epoch': 87.3}
+{'loss': 1.3108, 'learning_rate': 9.736301369863013e-06, 'epoch': 87.44}
+{'loss': 1.3347, 'learning_rate': 9.622146118721459e-06, 'epoch': 87.59}
+{'loss': 1.314, 'learning_rate': 9.507990867579907e-06, 'epoch': 87.74}
+{'loss': 1.3129, 'learning_rate': 9.393835616438355e-06, 'epoch': 87.89}
+
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                                                 Saving model checkpoint to ./checkpoint-59500
+Configuration saved in ./checkpoint-59500/config.json
+Model weights saved in ./checkpoint-59500/pytorch_model.bin
+Configuration saved in ./checkpoint-59500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-58000] due to args.save_total_limit
+
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 89%|████████▊ | 60000/67700 [35:36:13<3:58:59,  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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8182885050773621, 'eval_wer': 0.8431469569520039, 'eval_cer': 0.20650471792812689, 'eval_runtime': 112.6479, 'eval_samples_per_second': 17.941, 'eval_steps_per_second': 2.246, 'epoch': 87.89}
+{'loss': 1.3839, 'learning_rate': 9.279680365296803e-06, 'epoch': 88.04}
+{'loss': 1.3179, 'learning_rate': 9.166666666666665e-06, 'epoch': 88.18}
+{'loss': 1.3065, 'learning_rate': 9.052511415525113e-06, 'epoch': 88.33}
+{'loss': 1.3093, 'learning_rate': 8.93835616438356e-06, 'epoch': 88.48}
+{'loss': 1.3352, 'learning_rate': 8.824200913242009e-06, 'epoch': 88.63}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-60000
+Configuration saved in ./checkpoint-60000/config.json
+Model weights saved in ./checkpoint-60000/pytorch_model.bin
+Configuration saved in ./checkpoint-60000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-58500] due to args.save_total_limit
+
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 89%|████████▉ | 60500/67700 [35:52:52<2:31:34,  1.26s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8150643110275269, 'eval_wer': 0.847105393369619, 'eval_cer': 0.20622364986950412, 'eval_runtime': 112.8416, 'eval_samples_per_second': 17.91, 'eval_steps_per_second': 2.242, 'epoch': 88.63}
+{'loss': 1.3146, 'learning_rate': 8.710045662100455e-06, 'epoch': 88.77}
+{'loss': 1.3185, 'learning_rate': 8.595890410958903e-06, 'epoch': 88.92}
+{'loss': 1.291, 'learning_rate': 8.481735159817351e-06, 'epoch': 89.07}
+{'loss': 1.2985, 'learning_rate': 8.367579908675797e-06, 'epoch': 89.22}
+{'loss': 1.3026, 'learning_rate': 8.253424657534245e-06, 'epoch': 89.36}
+
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                                                 Saving model checkpoint to ./checkpoint-60500
+Configuration saved in ./checkpoint-60500/config.json
+Model weights saved in ./checkpoint-60500/pytorch_model.bin
+Configuration saved in ./checkpoint-60500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-59000] due to args.save_total_limit
+
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 90%|█████████ | 61000/67700 [36:09:49<3:43:04,  2.00s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8124769330024719, 'eval_wer': 0.8485898070262247, 'eval_cer': 0.20666532824733988, 'eval_runtime': 113.2992, 'eval_samples_per_second': 17.838, 'eval_steps_per_second': 2.233, 'epoch': 89.36}
+{'loss': 1.3266, 'learning_rate': 8.139269406392693e-06, 'epoch': 89.51}
+{'loss': 1.2908, 'learning_rate': 8.025114155251141e-06, 'epoch': 89.66}
+{'loss': 1.3219, 'learning_rate': 7.910958904109588e-06, 'epoch': 89.81}
+{'loss': 1.3354, 'learning_rate': 7.796803652968036e-06, 'epoch': 89.96}
+{'loss': 1.3468, 'learning_rate': 7.682648401826484e-06, 'epoch': 90.1}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-61000
+Configuration saved in ./checkpoint-61000/config.json
+Model weights saved in ./checkpoint-61000/pytorch_model.bin
+Configuration saved in ./checkpoint-61000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-59500] due to args.save_total_limit
+
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 91%|█████████ | 61500/67700 [36:26:38<3:27:32,  2.01s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8124193549156189, 'eval_wer': 0.8406729341909945, 'eval_cer': 0.2058221240714716, 'eval_runtime': 113.1466, 'eval_samples_per_second': 17.862, 'eval_steps_per_second': 2.236, 'epoch': 90.1}
+{'loss': 1.2959, 'learning_rate': 7.568493150684931e-06, 'epoch': 90.25}
+{'loss': 1.3095, 'learning_rate': 7.454337899543378e-06, 'epoch': 90.4}
+{'loss': 1.3018, 'learning_rate': 7.340182648401826e-06, 'epoch': 90.55}
+{'loss': 1.3182, 'learning_rate': 7.226027397260273e-06, 'epoch': 90.69}
+{'loss': 1.3028, 'learning_rate': 7.111872146118721e-06, 'epoch': 90.84}
+
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                                                 Saving model checkpoint to ./checkpoint-61500
+Configuration saved in ./checkpoint-61500/config.json
+Model weights saved in ./checkpoint-61500/pytorch_model.bin
+Configuration saved in ./checkpoint-61500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-60000] due to args.save_total_limit
+
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 92%|█████████▏| 62000/67700 [36:43:26<2:08:35,  1.35s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8122348189353943, 'eval_wer': 0.8461157842652153, 'eval_cer': 0.20509937763501304, 'eval_runtime': 113.8373, 'eval_samples_per_second': 17.753, 'eval_steps_per_second': 2.222, 'epoch': 90.84}
+{'loss': 1.2779, 'learning_rate': 6.997716894977168e-06, 'epoch': 90.99}
+{'loss': 1.3199, 'learning_rate': 6.883561643835615e-06, 'epoch': 91.14}
+{'loss': 1.282, 'learning_rate': 6.769406392694063e-06, 'epoch': 91.28}
+{'loss': 1.3319, 'learning_rate': 6.6552511415525104e-06, 'epoch': 91.43}
+{'loss': 1.2884, 'learning_rate': 6.5410958904109584e-06, 'epoch': 91.58}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-62000
+Configuration saved in ./checkpoint-62000/config.json
+Model weights saved in ./checkpoint-62000/pytorch_model.bin
+Configuration saved in ./checkpoint-62000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-60500] due to args.save_total_limit
+
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 92%|█████████▏| 62500/67700 [37:00:19<2:58:51,  2.06s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8086355328559875, 'eval_wer': 0.8426521523998021, 'eval_cer': 0.20477815699658702, 'eval_runtime': 114.5869, 'eval_samples_per_second': 17.637, 'eval_steps_per_second': 2.208, 'epoch': 91.58}
+{'loss': 1.3206, 'learning_rate': 6.4269406392694056e-06, 'epoch': 91.73}
+{'loss': 1.3219, 'learning_rate': 6.3127853881278536e-06, 'epoch': 91.88}
+{'loss': 1.2887, 'learning_rate': 6.198630136986301e-06, 'epoch': 92.02}
+{'loss': 1.3125, 'learning_rate': 6.084474885844748e-06, 'epoch': 92.17}
+{'loss': 1.3005, 'learning_rate': 5.970319634703196e-06, 'epoch': 92.32}
+
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                                                 Saving model checkpoint to ./checkpoint-62500
+Configuration saved in ./checkpoint-62500/config.json
+Model weights saved in ./checkpoint-62500/pytorch_model.bin
+Configuration saved in ./checkpoint-62500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-61000] due to args.save_total_limit
+
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 93%|█████████▎| 63000/67700 [37:17:05<1:55:50,  1.48s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8109722137451172, 'eval_wer': 0.838693715982187, 'eval_cer': 0.2054607508532423, 'eval_runtime': 114.6224, 'eval_samples_per_second': 17.632, 'eval_steps_per_second': 2.207, 'epoch': 92.32}
+{'loss': 1.3115, 'learning_rate': 5.856164383561643e-06, 'epoch': 92.47}
+{'loss': 1.3024, 'learning_rate': 5.7431506849315064e-06, 'epoch': 92.61}
+{'loss': 1.2729, 'learning_rate': 5.628995433789954e-06, 'epoch': 92.76}
+{'loss': 1.2953, 'learning_rate': 5.514840182648402e-06, 'epoch': 92.91}
+{'loss': 1.2996, 'learning_rate': 5.400684931506849e-06, 'epoch': 93.06}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-63000
+Configuration saved in ./checkpoint-63000/config.json
+Model weights saved in ./checkpoint-63000/pytorch_model.bin
+Configuration saved in ./checkpoint-63000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-61500] due to args.save_total_limit
+
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 94%|█████████▍| 63500/67700 [37:33:51<1:46:16,  1.52s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8125805854797363, 'eval_wer': 0.8327560613557645, 'eval_cer': 0.20570166633206183, 'eval_runtime': 113.0806, 'eval_samples_per_second': 17.872, 'eval_steps_per_second': 2.237, 'epoch': 93.06}
+{'loss': 1.3043, 'learning_rate': 5.286529680365297e-06, 'epoch': 93.21}
+{'loss': 1.2749, 'learning_rate': 5.172374429223744e-06, 'epoch': 93.35}
+{'loss': 1.2701, 'learning_rate': 5.058219178082192e-06, 'epoch': 93.5}
+{'loss': 1.3151, 'learning_rate': 4.944063926940639e-06, 'epoch': 93.65}
+{'loss': 1.2707, 'learning_rate': 4.829908675799086e-06, 'epoch': 93.8}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-63500
+Configuration saved in ./checkpoint-63500/config.json
+Model weights saved in ./checkpoint-63500/pytorch_model.bin
+Configuration saved in ./checkpoint-63500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-62000] due to args.save_total_limit
+
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 95%|█████████▍| 64000/67700 [37:50:42<2:14:24,  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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8097530603408813, 'eval_wer': 0.8401781296387927, 'eval_cer': 0.20465769925717728, 'eval_runtime': 113.7446, 'eval_samples_per_second': 17.768, 'eval_steps_per_second': 2.224, 'epoch': 93.8}
+{'loss': 1.2936, 'learning_rate': 4.715753424657534e-06, 'epoch': 93.94}
+{'loss': 1.2972, 'learning_rate': 4.601598173515981e-06, 'epoch': 94.09}
+{'loss': 1.2465, 'learning_rate': 4.487442922374429e-06, 'epoch': 94.24}
+{'loss': 1.3015, 'learning_rate': 4.3732876712328764e-06, 'epoch': 94.39}
+{'loss': 1.3026, 'learning_rate': 4.2591324200913244e-06, 'epoch': 94.53}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-64000
+Configuration saved in ./checkpoint-64000/config.json
+Model weights saved in ./checkpoint-64000/pytorch_model.bin
+Configuration saved in ./checkpoint-64000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-62500] due to args.save_total_limit
+
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 95%|█████████▌| 64500/67700 [38:07:34<1:25:45,  1.61s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8096847534179688, 'eval_wer': 0.8401781296387927, 'eval_cer': 0.20501907247540654, 'eval_runtime': 113.8078, 'eval_samples_per_second': 17.758, 'eval_steps_per_second': 2.223, 'epoch': 94.53}
+{'loss': 1.3007, 'learning_rate': 4.144977168949772e-06, 'epoch': 94.68}
+{'loss': 1.2671, 'learning_rate': 4.030821917808219e-06, 'epoch': 94.83}
+{'loss': 1.2834, 'learning_rate': 3.916666666666667e-06, 'epoch': 94.98}
+{'loss': 1.3017, 'learning_rate': 3.802511415525114e-06, 'epoch': 95.13}
+{'loss': 1.2546, 'learning_rate': 3.689497716894977e-06, 'epoch': 95.27}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-64500
+Configuration saved in ./checkpoint-64500/config.json
+Model weights saved in ./checkpoint-64500/pytorch_model.bin
+Configuration saved in ./checkpoint-64500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-63000] due to args.save_total_limit
+
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 96%|█████████▌| 65000/67700 [38:24:23<1:42:47,  2.28s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8111132383346558, 'eval_wer': 0.8401781296387927, 'eval_cer': 0.2054607508532423, 'eval_runtime': 114.1208, 'eval_samples_per_second': 17.709, 'eval_steps_per_second': 2.217, 'epoch': 95.27}
+{'loss': 1.3115, 'learning_rate': 3.5753424657534245e-06, 'epoch': 95.42}
+{'loss': 1.2918, 'learning_rate': 3.461187214611872e-06, 'epoch': 95.57}
+{'loss': 1.2863, 'learning_rate': 3.347031963470319e-06, 'epoch': 95.72}
+{'loss': 1.3075, 'learning_rate': 3.2328767123287667e-06, 'epoch': 95.86}
+{'loss': 1.2426, 'learning_rate': 3.1187214611872143e-06, 'epoch': 96.01}
+
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                                                 Saving model checkpoint to ./checkpoint-65000
+Configuration saved in ./checkpoint-65000/config.json
+Model weights saved in ./checkpoint-65000/pytorch_model.bin
+Configuration saved in ./checkpoint-65000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-63500] due to args.save_total_limit
+
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 97%|█████████▋| 65500/67700 [38:41:12<1:22:10,  2.24s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8087843656539917, 'eval_wer': 0.8372093023255814, 'eval_cer': 0.20594258181088135, 'eval_runtime': 113.7192, 'eval_samples_per_second': 17.772, 'eval_steps_per_second': 2.225, 'epoch': 96.01}
+{'loss': 1.2996, 'learning_rate': 3.004566210045662e-06, 'epoch': 96.16}
+{'loss': 1.3113, 'learning_rate': 2.8904109589041095e-06, 'epoch': 96.31}
+{'loss': 1.287, 'learning_rate': 2.776255707762557e-06, 'epoch': 96.45}
+{'loss': 1.2838, 'learning_rate': 2.662100456621004e-06, 'epoch': 96.6}
+{'loss': 1.2869, 'learning_rate': 2.5479452054794517e-06, 'epoch': 96.75}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-65500
+Configuration saved in ./checkpoint-65500/config.json
+Model weights saved in ./checkpoint-65500/pytorch_model.bin
+Configuration saved in ./checkpoint-65500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-64000] due to args.save_total_limit
+
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 97%|█████████▋| 66000/67700 [38:58:04<47:59,  1.69s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8092992305755615, 'eval_wer': 0.8396833250865908, 'eval_cer': 0.20481830957639027, 'eval_runtime': 113.4179, 'eval_samples_per_second': 17.819, 'eval_steps_per_second': 2.231, 'epoch': 96.75}
+{'loss': 1.2994, 'learning_rate': 2.4337899543378993e-06, 'epoch': 96.9}
+{'loss': 1.2983, 'learning_rate': 2.319634703196347e-06, 'epoch': 97.05}
+{'loss': 1.2737, 'learning_rate': 2.2054794520547945e-06, 'epoch': 97.19}
+{'loss': 1.2965, 'learning_rate': 2.091324200913242e-06, 'epoch': 97.34}
+{'loss': 1.2782, 'learning_rate': 1.9771689497716896e-06, 'epoch': 97.49}
+
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                                                 Saving model checkpoint to ./checkpoint-66000
+Configuration saved in ./checkpoint-66000/config.json
+Model weights saved in ./checkpoint-66000/pytorch_model.bin
+Configuration saved in ./checkpoint-66000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-64500] due to args.save_total_limit
+
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 98%|█████████▊| 66500/67700 [39:14:46<43:33,  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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8099350929260254, 'eval_wer': 0.8411677387431964, 'eval_cer': 0.2048986147359968, 'eval_runtime': 113.4967, 'eval_samples_per_second': 17.807, 'eval_steps_per_second': 2.229, 'epoch': 97.49}
+{'loss': 1.2485, 'learning_rate': 1.863013698630137e-06, 'epoch': 97.64}
+{'loss': 1.281, 'learning_rate': 1.7488584474885843e-06, 'epoch': 97.78}
+{'loss': 1.2679, 'learning_rate': 1.6347031963470319e-06, 'epoch': 97.93}
+{'loss': 1.2255, 'learning_rate': 1.5205479452054794e-06, 'epoch': 98.08}
+{'loss': 1.2457, 'learning_rate': 1.406392694063927e-06, 'epoch': 98.23}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-66500
+Configuration saved in ./checkpoint-66500/config.json
+Model weights saved in ./checkpoint-66500/pytorch_model.bin
+Configuration saved in ./checkpoint-66500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-65000] due to args.save_total_limit
+
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 99%|█████████▉| 67000/67700 [39:31:37<24:26,  2.10s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8133619427680969, 'eval_wer': 0.8411677387431964, 'eval_cer': 0.20618349728970087, 'eval_runtime': 113.8096, 'eval_samples_per_second': 17.758, 'eval_steps_per_second': 2.223, 'epoch': 98.23}
+{'loss': 1.2885, 'learning_rate': 1.2922374429223744e-06, 'epoch': 98.38}
+{'loss': 1.2787, 'learning_rate': 1.178082191780822e-06, 'epoch': 98.52}
+{'loss': 1.271, 'learning_rate': 1.0639269406392693e-06, 'epoch': 98.67}
+{'loss': 1.2858, 'learning_rate': 9.497716894977168e-07, 'epoch': 98.82}
+{'loss': 1.2967, 'learning_rate': 8.356164383561643e-07, 'epoch': 98.97}
+
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                                                 Saving model checkpoint to ./checkpoint-67000
+Configuration saved in ./checkpoint-67000/config.json
+Model weights saved in ./checkpoint-67000/pytorch_model.bin
+Configuration saved in ./checkpoint-67000/preprocessor_config.json
+Deleting older checkpoint [checkpoint-65500] due to args.save_total_limit
+
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100%|█████████▉| 67500/67700 [39:48:32<05:51,  1.76s/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 = 2021
+  Batch size = 8
+{'eval_loss': 0.8114518523216248, 'eval_wer': 0.8381989114299851, 'eval_cer': 0.20554105601284883, 'eval_runtime': 113.394, 'eval_samples_per_second': 17.823, 'eval_steps_per_second': 2.231, 'epoch': 98.97}
+{'loss': 1.3312, 'learning_rate': 7.214611872146118e-07, 'epoch': 99.11}
+{'loss': 1.2486, 'learning_rate': 6.073059360730594e-07, 'epoch': 99.26}
+{'loss': 1.2672, 'learning_rate': 4.931506849315068e-07, 'epoch': 99.41}
+{'loss': 1.2776, 'learning_rate': 3.7899543378995425e-07, 'epoch': 99.56}
+{'loss': 1.2817, 'learning_rate': 2.648401826484018e-07, 'epoch': 99.7}
+
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+
                                                 

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                                                 Saving model checkpoint to ./checkpoint-67500
+Configuration saved in ./checkpoint-67500/config.json
+Model weights saved in ./checkpoint-67500/pytorch_model.bin
+Configuration saved in ./checkpoint-67500/preprocessor_config.json
+Deleting older checkpoint [checkpoint-66000] 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