Training in progress, step 1500

pytorch_model.bin

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-oid sha256:0930c469f1b5ce534640c7e6842e99c434b99f1676c5dcbabe16c444ce721910
+oid sha256:949d0ce2c54024140f18376d8cecfc47f4f7b6ad4e014481e59c91c2ba08268a
 size 1262140977

wandb/run-20220201_223624-2b1hcyq3/files/output.log

@@ -886,3 +886,439 @@ Configuration saved in ./preprocessor_config.json
 Configuration saved in ./checkpoint-1000/config.json
 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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+  9%|██████████████████▏                                                                                                                                                                              | 1100/11670 [36:33<3:58:49,  1.36s/it]
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+ 12%|███████████████████████▏                                                                                                                                                                         | 1401/11670 [42:36<3:41:59,  1.30s/it]
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+ 13%|████████████████████████▊                                                                                                                                                                        | 1499/11670 [44:34<3:43:56,  1.32s/it]
+ 13%|████████████████████████▊                                                                                                                                                                        | 1500/11670 [44:35<3:51:06,  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 = 8301
+  Batch size = 32
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+100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 260/260 [05:40<00:00,  1.54it/s]
+Configuration saved in ./checkpoint-1500/config.json
+Model weights saved in ./checkpoint-1500/pytorch_model.bin
+Configuration saved in ./checkpoint-1500/preprocessor_config.json