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Create stats.txt

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+ #SBATCH --nodes=1
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+ #SBATCH --ntasks-per-node=1
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+ #SBATCH --gres=gpu:2
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+ #SBATCH --constraint=A100
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+ #SBATCH --mem=17000
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+
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+ # Feilmeldingen under kommer ikke når man kjører med en GPU
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+
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+
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+
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+ /cluster/home/simentaa/master-kantega-22-23/notebooks/huggingface/test_train/cudaHF.py:86: FutureWarning: load_metric is deprecated and will be removed in the next major version of datasets. Use 'evaluate.load' instead, from the new library 🤗 Evaluate: https://huggingface.co/docs/evaluate
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+ metric = datasets.load_metric('sacrebleu')
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+ Cloning https://huggingface.co/NTCAL/norbert2_sentiment_norec_13 into local empty directory.
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+ /cluster/home/simentaa/.local/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
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+ warnings.warn('Was asked to gather along dimension 0, but all '
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+ /cluster/home/simentaa/.local/lib/python3.9/site-packages/torch/nn/parallel/_functions.py:68: UserWarning: Was asked to gather along dimension 0, but all input tensors were scalars; will instead unsqueeze and return a vector.
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+ warnings.warn('Was asked to gather along dimension 0, but all '
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+ Several commits (2) will be pushed upstream.
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+ The progress bars may be unreliable.
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+
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+
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+ GPU memory occupied: 817 MB.
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+ Trener()
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+ GPU memory occupied: 10758 MB.
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+
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+ {'train_runtime': 97.1582, 'train_samples_per_second': 0.103, 'train_steps_per_second': 0.062, 'train_loss': 0.674299493432045, 'epoch': 2.0}
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+ Time: 97.16