Training in progress, step 1000

pytorch_model.bin

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-oid sha256:90c3fb536f56901decbad9a2a36f4f0cd91baf1ef72980643536c368e56e9730
+oid sha256:9ef3ddfdca5dd4b84e81102be2fc768e902b69dee58a485d7aa9bc053e975fc4
 size 1262058993

wandb/run-20220205_233515-2f29fa6z/files/output.log

@@ -600,3 +600,604 @@ Configuration saved in ./checkpoint-500/config.json
 Model weights saved in ./checkpoint-500/pytorch_model.bin
 Configuration saved in ./checkpoint-500/preprocessor_config.json
 {'eval_loss': 0.2469930201768875, 'eval_wer': 0.36629738582545746, 'eval_runtime': 294.3209, 'eval_samples_per_second': 21.959, 'eval_steps_per_second': 0.306, 'epoch': 4.24}
+Configuration saved in ./preprocessor_config.json
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+  5%|██▉                                                       | 599/11800 [1:19:42<27:05:31,  8.71s/it]
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+  6%|███▍                                                      | 699/11800 [1:31:54<19:48:30,  6.42s/it]
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+  7%|███▉                                                      | 800/11800 [1:44:25<27:46:25,  9.09s/it]
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+  8%|████▍                                                     | 899/11800 [1:56:44<23:11:00,  7.66s/it]
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+  8%|████▊                                                    | 1000/11800 [2:08:58<16:37:42,  5.54s/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 = 6463
+  Batch size = 72
+{'loss': 0.1435, 'learning_rate': 0.00099519617359424, 'epoch': 8.47}
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+Configuration saved in ./checkpoint-1000/config.json
+Model weights saved in ./checkpoint-1000/pytorch_model.bin
+Configuration saved in ./checkpoint-1000/preprocessor_config.json
+{'eval_loss': 0.20002000033855438, 'eval_wer': 0.2791095533162254, 'eval_runtime': 295.0975, 'eval_samples_per_second': 21.901, 'eval_steps_per_second': 0.305, 'epoch': 8.47}