Training in progress, step 6000

log

@@ -33637,3 +33637,96 @@ If your task is similar to the task the model of the checkpoint was trained on,
 [INFO|modeling_utils.py:1680] 2022-12-15 13:28:26,805 >> Model weights saved in ./checkpoint-5000/pytorch_model.bin
 [INFO|feature_extraction_utils.py:368] 2022-12-15 13:28:26,820 >> Feature extractor saved in ./checkpoint-5000/preprocessor_config.json
 [INFO|feature_extraction_utils.py:368] 2022-12-15 13:28:30,634 >> Feature extractor saved in ./preprocessor_config.json
+/home/ubuntu/hf_env/lib/python3.8/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
+  warnings.warn("None of the inputs have requires_grad=True. Gradients will be None")
+
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+{'loss': 0.1049, 'learning_rate': 1.4225454545454546e-06, 'epoch': 10.06}
+{'loss': 0.09, 'learning_rate': 1.386181818181818e-06, 'epoch': 10.06}
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+{'loss': 0.0448, 'learning_rate': 1.2407272727272725e-06, 'epoch': 10.08}
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+[INFO|trainer.py:2959] 2022-12-15 15:55:46,119 >>   Num examples: Unknown
+[INFO|trainer.py:2960] 2022-12-15 15:55:46,119 >>   Batch size = 32
+{'loss': 0.0563, 'learning_rate': 5.134545454545455e-07, 'epoch': 12.0}
+{'loss': 0.0572, 'learning_rate': 4.770909090909091e-07, 'epoch': 12.01}
+{'loss': 0.0561, 'learning_rate': 4.407272727272727e-07, 'epoch': 12.01}
+{'loss': 0.0505, 'learning_rate': 4.0436363636363634e-07, 'epoch': 12.02}
+{'loss': 0.0479, 'learning_rate': 3.6799999999999996e-07, 'epoch': 12.02}
+{'loss': 0.0522, 'learning_rate': 3.316363636363636e-07, 'epoch': 12.02}
+{'loss': 0.0617, 'learning_rate': 2.9527272727272726e-07, 'epoch': 12.03}
+{'loss': 0.0468, 'learning_rate': 2.5890909090909094e-07, 'epoch': 12.03}
+{'loss': 0.0468, 'learning_rate': 2.2254545454545453e-07, 'epoch': 12.04}
+{'loss': 0.0472, 'learning_rate': 1.8618181818181816e-07, 'epoch': 12.04}
+{'loss': 0.0495, 'learning_rate': 1.498181818181818e-07, 'epoch': 12.05}
+{'loss': 0.0546, 'learning_rate': 1.1345454545454546e-07, 'epoch': 12.05}
+{'loss': 0.0579, 'learning_rate': 7.709090909090908e-08, 'epoch': 12.05}
+{'loss': 0.0623, 'learning_rate': 4.072727272727273e-08, 'epoch': 12.06}
+{'loss': 0.0604, 'learning_rate': 4.363636363636364e-09, 'epoch': 12.06}
+
+
+
+[INFO|trainer_utils.py:689] 2022-12-15 15:55:50,603 >> 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] 2022-12-15 17:20:08,106 >> Configuration saved in ./checkpoint-6000/config.json
+[INFO|modeling_utils.py:1680] 2022-12-15 17:20:08,963 >> Model weights saved in ./checkpoint-6000/pytorch_model.bin
+[INFO|feature_extraction_utils.py:368] 2022-12-15 17:20:08,977 >> Feature extractor saved in ./checkpoint-6000/preprocessor_config.json
+[INFO|feature_extraction_utils.py:368] 2022-12-15 17:20:12,798 >> Feature extractor saved in ./preprocessor_config.json

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