Training in progress, step 12000

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

@@ -33732,3 +33732,43 @@ If your task is similar to the task the model of the checkpoint was trained on,
 [INFO|tokenization_utils_base.py:2157] 2022-12-16 15:07:23,376 >> tokenizer config file saved in ./tokenizer_config.json
 [INFO|tokenization_utils_base.py:2164] 2022-12-16 15:07:23,376 >> Special tokens file saved in ./special_tokens_map.json
 [INFO|tokenization_utils_base.py:2210] 2022-12-16 15:07:23,377 >> added tokens file saved in ./added_tokens.json
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+[INFO|trainer.py:2959] 2022-12-16 17:52:02,233 >>   Num examples: Unknown
+[INFO|trainer.py:2960] 2022-12-16 17:52:02,234 >>   Batch size = 64
+{'eval_loss': 0.06960244476795197, 'eval_wer': 6.463772936415545, 'eval_runtime': 6836.8996, 'eval_samples_per_second': 2.322, 'eval_steps_per_second': 0.036, 'epoch': 2.01}
+{'loss': 0.0119, 'learning_rate': 8.304347826086957e-06, 'epoch': 2.02}
+{'loss': 0.0163, 'learning_rate': 7.869565217391305e-06, 'epoch': 2.02}
+{'loss': 0.0136, 'learning_rate': 7.434782608695652e-06, 'epoch': 2.02}
+{'loss': 0.0124, 'learning_rate': 7.000000000000001e-06, 'epoch': 2.03}
+{'loss': 0.0124, 'learning_rate': 6.565217391304349e-06, 'epoch': 2.03}
+{'loss': 0.0135, 'learning_rate': 6.1304347826086965e-06, 'epoch': 2.04}
+{'loss': 0.0111, 'learning_rate': 5.6956521739130435e-06, 'epoch': 2.04}
+{'loss': 0.0128, 'learning_rate': 5.260869565217392e-06, 'epoch': 2.05}
+{'loss': 0.0142, 'learning_rate': 4.826086956521739e-06, 'epoch': 2.05}
+{'loss': 0.0136, 'learning_rate': 4.391304347826087e-06, 'epoch': 2.05}
+{'loss': 0.0157, 'learning_rate': 3.956521739130435e-06, 'epoch': 2.06}
+{'loss': 0.0154, 'learning_rate': 3.521739130434783e-06, 'epoch': 2.06}
+{'loss': 0.016, 'learning_rate': 3.0869565217391307e-06, 'epoch': 2.07}
+{'loss': 0.0146, 'learning_rate': 2.6521739130434785e-06, 'epoch': 2.07}
+{'loss': 0.0133, 'learning_rate': 2.217391304347826e-06, 'epoch': 2.08}
+{'loss': 0.0142, 'learning_rate': 1.7826086956521738e-06, 'epoch': 2.08}
+{'loss': 0.0155, 'learning_rate': 1.3478260869565217e-06, 'epoch': 2.08}
+{'loss': 0.012, 'learning_rate': 9.130434782608697e-07, 'epoch': 2.09}
+{'loss': 0.0149, 'learning_rate': 4.782608695652174e-07, 'epoch': 2.09}
+{'loss': 0.0155, 'learning_rate': 4.347826086956522e-08, 'epoch': 2.1}
+
+
+
+
+[INFO|trainer_utils.py:689] 2022-12-16 17:52:10,014 >> 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.
+
                                                        
+[INFO|configuration_utils.py:447] 2022-12-16 19:46:17,485 >> Configuration saved in ./checkpoint-12000/config.json
+[INFO|modeling_utils.py:1680] 2022-12-16 19:46:18,332 >> Model weights saved in ./checkpoint-12000/pytorch_model.bin
+[INFO|feature_extraction_utils.py:368] 2022-12-16 19:46:18,346 >> Feature extractor saved in ./checkpoint-12000/preprocessor_config.json
+[INFO|tokenization_utils_base.py:2157] 2022-12-16 19:46:18,347 >> tokenizer config file saved in ./checkpoint-12000/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2164] 2022-12-16 19:46:18,347 >> Special tokens file saved in ./checkpoint-12000/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2210] 2022-12-16 19:46:18,347 >> added tokens file saved in ./checkpoint-12000/added_tokens.json
+[INFO|feature_extraction_utils.py:368] 2022-12-16 19:46:23,070 >> Feature extractor saved in ./preprocessor_config.json
+[INFO|tokenization_utils_base.py:2157] 2022-12-16 19:46:23,071 >> tokenizer config file saved in ./tokenizer_config.json
+[INFO|tokenization_utils_base.py:2164] 2022-12-16 19:46:23,071 >> Special tokens file saved in ./special_tokens_map.json
+[INFO|tokenization_utils_base.py:2210] 2022-12-16 19:46:23,071 >> added tokens file saved in ./added_tokens.json