Training in progress, step 5000

nohup.out

@@ -70503,3 +70503,65 @@ If your task is similar to the task the model of the checkpoint was trained on,
 [INFO|modeling_utils.py:1693] 2023-12-29 21:15:31,502 >> Model weights saved in ./checkpoint-4000/pytorch_model.bin
 [INFO|feature_extraction_utils.py:368] 2023-12-29 21:15:31,509 >> Feature extractor saved in ./checkpoint-4000/preprocessor_config.json
 [INFO|feature_extraction_utils.py:368] 2023-12-29 21:15:37,221 >> Feature extractor saved in ./preprocessor_config.json
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+[INFO|trainer.py:2959] 2023-12-29 22:23:24,596 >>   Num examples: Unknown
+[INFO|trainer.py:2960] 2023-12-29 22:23:24,596 >>   Batch size = 16
+{'loss': 0.0116, 'learning_rate': 6.733333333333334e-07, 'epoch': 6.0}
+{'loss': 0.014, 'learning_rate': 6.177777777777778e-07, 'epoch': 6.01}
+{'loss': 0.0156, 'learning_rate': 5.622222222222223e-07, 'epoch': 6.01}
+{'loss': 0.0136, 'learning_rate': 5.066666666666667e-07, 'epoch': 6.02}
+{'loss': 0.0144, 'learning_rate': 4.511111111111111e-07, 'epoch': 6.02}
+{'loss': 0.0155, 'learning_rate': 3.9555555555555557e-07, 'epoch': 6.03}
+{'loss': 0.0187, 'learning_rate': 3.4000000000000003e-07, 'epoch': 6.03}
+{'loss': 0.0189, 'learning_rate': 2.844444444444445e-07, 'epoch': 6.04}
+{'loss': 0.0187, 'learning_rate': 2.2888888888888892e-07, 'epoch': 6.04}
+{'loss': 0.0194, 'learning_rate': 1.7333333333333335e-07, 'epoch': 6.05}
+{'loss': 0.019, 'learning_rate': 1.1777777777777778e-07, 'epoch': 6.05}
+{'loss': 0.0183, 'learning_rate': 6.222222222222223e-08, 'epoch': 6.06}
+{'loss': 0.0199, 'learning_rate': 6.666666666666667e-09, 'epoch': 6.06}
+
+
+
+[INFO|trainer_utils.py:689] 2023-12-29 22:23:28,720 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`,  you can safely ignore this message.
+
                                                     
+[INFO|configuration_utils.py:447] 2023-12-29 22:51:49,653 >> Configuration saved in ./checkpoint-5000/config.json
+[INFO|modeling_utils.py:1693] 2023-12-29 22:51:50,829 >> Model weights saved in ./checkpoint-5000/pytorch_model.bin
+[INFO|feature_extraction_utils.py:368] 2023-12-29 22:51:50,835 >> Feature extractor saved in ./checkpoint-5000/preprocessor_config.json
+[INFO|feature_extraction_utils.py:368] 2023-12-29 22:51:56,594 >> Feature extractor saved in ./preprocessor_config.json

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