Training in progress, step 3000

.gitattributes

@@ -32,4 +32,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
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training.log

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 {'loss': 0.0961, 'learning_rate': 6.256249999999999e-07, 'epoch': 1.16}
 {'eval_loss': 0.17186188697814941, 'eval_wer': 10.590646826601882, 'eval_runtime': 5724.307, 'eval_samples_per_second': 1.772, 'eval_steps_per_second': 0.111, 'epoch': 1.16}
 12/12/2022 19:55:06 - WARNING - huggingface_hub.repository - Adding files tracked by Git LFS: ['.training.log.swp']. This may take a bit of time if the files are large.
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+[INFO|trainer.py:2960] 2022-12-12 21:28:34,496 >>   Num examples: Unknown
+[INFO|trainer.py:2961] 2022-12-12 21:28:34,496 >>   Batch size = 16
+[INFO|trainer_utils.py:689] 2022-12-12 21:28:46,976 >> 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.
+
                                                       
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+[INFO|configuration_utils.py:447] 2022-12-12 23:04:12,219 >> Configuration saved in ./checkpoint-3000/config.json
+[INFO|modeling_utils.py:1671] 2022-12-12 23:04:14,766 >> Model weights saved in ./checkpoint-3000/pytorch_model.bin
+[INFO|feature_extraction_utils.py:368] 2022-12-12 23:04:14,781 >> Feature extractor saved in ./checkpoint-3000/preprocessor_config.json
+[INFO|feature_extraction_utils.py:368] 2022-12-12 23:04:24,354 >> Feature extractor saved in ./preprocessor_config.json