nohup.out

`low_cpu_mem_usage` was None, now default to True since model is quantized.

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trainable params: 335544320 || all params: 4876144640 || trainables%: 6.881344684640036

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/home/jovyan/data-yt/train/train.py:88: FutureWarning: `tokenizer` is deprecated and removed starting from version 0.16.0 for `SFTTrainer.__init__`. Use `processing_class` instead.
  trainer = SFTTrainer(
Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.

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{'loss': 1.8367, 'grad_norm': 0.16318294405937195, 'learning_rate': 0.00019316938294480988, 'epoch': 0.49}
{'loss': 1.6682, 'grad_norm': 0.1527577042579651, 'learning_rate': 0.00016145696457272202, 'epoch': 0.97}
{'loss': 1.5237, 'grad_norm': 0.1863810271024704, 'learning_rate': 0.00011243098608364038, 'epoch': 1.46}
{'loss': 1.4786, 'grad_norm': 0.19756671786308289, 'learning_rate': 5.990296960148566e-05, 'epoch': 1.95}
{'loss': 1.3263, 'grad_norm': 0.23611538112163544, 'learning_rate': 1.8671025926443465e-05, 'epoch': 2.44}
{'loss': 1.3008, 'grad_norm': 0.22988559305667877, 'learning_rate': 3.509538621403463e-07, 'epoch': 2.92}
{'train_runtime': 53289.6487, 'train_samples_per_second': 0.924, 'train_steps_per_second': 0.058, 'train_loss': 1.5171846956150186, 'epoch': 3.0}