Training in progress, step 2000

.gitattributes

@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+wandb/run-20220203_135844-2tzexn1o/run-2tzexn1o.wandb filter=lfs diff=lfs merge=lfs -text

pytorch_model.bin

@@ -1,3 +1,3 @@
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-oid sha256:fe30ae12c53d8f58e684006bd1c1927acfc8a0a8ffea0b10a29486e0564b7ed8
+oid sha256:db7173dbf9af21ca83b2d5106ae928a25614a1b4a955d217eefa9e156f90d909
 size 1262112241

wandb/run-20220203_135844-2tzexn1o/files/output.log

@@ -1359,3 +1359,1370 @@ 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
+Configuration saved in ./preprocessor_config.json
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+  6%|█████████▎                                                                                                                                         | 1099/17440 [2:30:21<22:24:03,  4.94s/it]
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+  7%|██████████                                                                                                                                         | 1200/17440 [2:43:10<18:56:18,  4.20s/it]
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+  7%|██████████▉                                                                                                                                        | 1300/17440 [2:55:44<18:36:13,  4.15s/it]
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+  8%|███████████▊                                                                                                                                       | 1400/17440 [3:08:25<18:49:36,  4.23s/it]
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+  9%|████████████▋                                                                                                                                      | 1500/17440 [3:21:17<19:02:55,  4.30s/it]
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+  9%|█████████████▍                                                                                                                                     | 1599/17440 [3:34:01<20:28:55,  4.65s/it]
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+ 10%|██████████████▎                                                                                                                                    | 1699/17440 [3:46:46<19:45:29,  4.52s/it]
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+ 10%|███████████████▏                                                                                                                                   | 1799/17440 [3:59:37<19:50:42,  4.57s/it]
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+ 11%|████████████████                                                                                                                                   | 1900/17440 [4:12:42<18:43:19,  4.34s/it]
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+ 11%|████████████████▊                                                                                                                                  | 1999/17440 [4:25:12<18:55:19,  4.41s/it]
+ 11%|████████████████▊                                                                                                                                  | 2000/17440 [4:25:16<17:41:52,  4.13s/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
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+100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1002/1002 [11:48<00:00,  2.38it/s]
+
+Configuration saved in ./checkpoint-2000/config.json
+Model weights saved in ./checkpoint-2000/pytorch_model.bin
+Configuration saved in ./checkpoint-2000/preprocessor_config.json
+Configuration saved in ./preprocessor_config.json
+02/03/2022 18:37:25 - WARNING - huggingface_hub.repository - Adding files tracked by Git LFS: ['wandb/run-20220203_135844-2tzexn1o/run-2tzexn1o.wandb']. This may take a bit of time if the files are large.