23 lines
650 B
PSL
23 lines
650 B
PSL
#!/bin/bash
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#SBATCH --job-name=eval_newsph
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#SBATCH --output=logs/eval_%j.out
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#SBATCH --error=logs/eval_%j.err
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#SBATCH --gres=gpu:1
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#SBATCH --cpus-per-task=4
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#SBATCH --mem=17000M
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#SBATCH --partition=samsung
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# Required: Activate your environment using the HPC-specific miniconda path
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source /opt/miniconda3/etc/profile.d/conda.sh
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conda activate /home/kent_joseph_palima/kent-env-cu11
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# Force Hugging Face libraries to stay offline
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export TRANSFORMERS_OFFLINE=1
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export HF_DATASETS_OFFLINE=1
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# Execute the training script using srun as per HPC guidelines
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srun python eval_newsph_small.py
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# Optional: Check GPU status after training
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# srun nvidia-smi
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