1%|▊ | 100/17440 [12:17<19:56:25, 4.14s/it] 1%|█▋ | 199/17440 [24:34<20:52:21, 4.36s/it] 2%|██▌ | 300/17440 [37:07<20:04:05, 4.22s/it] 2%|███▍ | 399/17440 [49:31<21:14:28, 4.49s/it] 3%|████▏ | 499/17440 [1:01:50<20:45:51, 4.41s/it] 3%|█████ | 600/17440 [1:14:19<19:27:18, 4.16s/it] 4%|█████▉ | 700/17440 [1:27:12<19:52:48, 4.28s/it] 5%|██████▊ | 799/17440 [1:39:39<20:49:39, 4.51s/it] 5%|███████▋ | 899/17440 [1:52:23<21:09:25, 4.60s/it] 6%|████████▍ | 999/17440 [2:05:08<20:53:06, 4.57s/it] 6%|████████▍ | 1000/17440 [2:05:11<19:26:40, 4.26s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`, you can safely ignore this message. ***** Running Evaluation ***** Num examples = 16021 Batch size = 16 Configuration saved in ./checkpoint-1000/config.json {'eval_loss': inf, 'eval_wer': 0.9997048122028068, 'eval_runtime': 711.5482, 'eval_samples_per_second': 22.516, 'eval_steps_per_second': 1.408, 'epoch': 0.29} Model weights saved in ./checkpoint-1000/pytorch_model.bin Configuration saved in ./checkpoint-1000/preprocessor_config.json