Training in progress, step 6000

pytorch_model.bin

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runs/Dec14_11-27-46_129-213-88-66/events.out.tfevents.1671017287.129-213-88-66.335324.0

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train_run_1.log

@@ -33409,3 +33409,77 @@ If your task is similar to the task the model of the checkpoint was trained on,
 [INFO|tokenization_utils_base.py:2157] 2022-12-15 10:59:10,548 >> tokenizer config file saved in ./tokenizer_config.json
 [INFO|tokenization_utils_base.py:2164] 2022-12-15 10:59:10,548 >> Special tokens file saved in ./special_tokens_map.json
 [INFO|tokenization_utils_base.py:2210] 2022-12-15 10:59:10,549 >> added tokens file saved in ./added_tokens.json
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 50%|█████     | 6000/12000 [26:15:25<15:58:32,  9.59s/it][INFO|trainer.py:2955] 2022-12-15 13:43:33,297 >> ***** Running Evaluation *****
+[INFO|trainer.py:2959] 2022-12-15 13:43:33,297 >>   Num examples: Unknown
+[INFO|trainer.py:2960] 2022-12-15 13:43:33,297 >>   Batch size = 64
+{'loss': 0.067, 'learning_rate': 5.6982608695652175e-05, 'epoch': 1.0}
+{'loss': 0.0373, 'learning_rate': 5.654782608695652e-05, 'epoch': 1.01}
+{'loss': 0.0368, 'learning_rate': 5.611304347826087e-05, 'epoch': 1.01}
+{'loss': 0.0372, 'learning_rate': 5.5678260869565226e-05, 'epoch': 1.01}
+{'loss': 0.0335, 'learning_rate': 5.524347826086957e-05, 'epoch': 1.02}
+{'loss': 0.0361, 'learning_rate': 5.4808695652173914e-05, 'epoch': 1.02}
+{'loss': 0.0345, 'learning_rate': 5.437391304347826e-05, 'epoch': 1.03}
+{'loss': 0.0357, 'learning_rate': 5.393913043478262e-05, 'epoch': 1.03}
+{'loss': 0.0353, 'learning_rate': 5.3504347826086965e-05, 'epoch': 1.04}
+{'loss': 0.0302, 'learning_rate': 5.3069565217391306e-05, 'epoch': 1.04}
+{'loss': 0.0291, 'learning_rate': 5.2634782608695654e-05, 'epoch': 1.04}
+{'loss': 0.028, 'learning_rate': 5.22e-05, 'epoch': 1.05}
+
+
+
+
+[INFO|trainer_utils.py:689] 2022-12-15 13:43:44,556 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: labels_length, input_length, labels_truncated. If labels_length, input_length, labels_truncated are not expected by `WhisperForConditionalGeneration.forward`,  you can safely ignore this message.
+
                                                          
 50%|█████     | 6000/12000 [28:09:46<15:58:32,  9.59s/it][INFO|trainer.py:2700] 2022-12-15 15:37:54,428 >> Saving model checkpoint to ./checkpoint-6000
+[INFO|configuration_utils.py:447] 2022-12-15 15:37:54,429 >> Configuration saved in ./checkpoint-6000/config.json
+[INFO|modeling_utils.py:1680] 2022-12-15 15:37:55,289 >> Model weights saved in ./checkpoint-6000/pytorch_model.bin
+[INFO|feature_extraction_utils.py:368] 2022-12-15 15:37:55,304 >> Feature extractor saved in ./checkpoint-6000/preprocessor_config.json
+[INFO|tokenization_utils_base.py:2157] 2022-12-15 15:37:55,304 >> tokenizer config file saved in ./checkpoint-6000/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2164] 2022-12-15 15:37:55,304 >> Special tokens file saved in ./checkpoint-6000/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2210] 2022-12-15 15:37:55,304 >> added tokens file saved in ./checkpoint-6000/added_tokens.json
+[INFO|feature_extraction_utils.py:368] 2022-12-15 15:37:59,976 >> Feature extractor saved in ./preprocessor_config.json
+[INFO|tokenization_utils_base.py:2157] 2022-12-15 15:37:59,977 >> tokenizer config file saved in ./tokenizer_config.json
+[INFO|tokenization_utils_base.py:2164] 2022-12-15 15:37:59,977 >> Special tokens file saved in ./special_tokens_map.json
+[INFO|tokenization_utils_base.py:2210] 2022-12-15 15:37:59,978 >> added tokens file saved in ./added_tokens.json