Feature Extraction
Transformers
PyTorch
TensorBoard
bloom
Eval Results
text-generation-inference
Inference Endpoints
Muennighoff commited on
Commit
a94304f
1 Parent(s): 6a5cfd9
Files changed (4) hide show
  1. launch.sh +53 -0
  2. sbatch_mtf_xp3ru.sh +147 -0
  3. xp3_train_ru.txt +1 -0
  4. xp3_validation_ru.txt +1 -0
launch.sh ADDED
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+ #!/bin/bash
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+
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+ # Launch script using torch.distributed.run(). Used by slurm
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+ # scripts, don't invoke directly.
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+
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+ # Samuel's fix for apparent error in SLURM initialization
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+ if [ $SLURM_LOCALID -eq 0 ]; then
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+ rm -rf /dev/shm/*
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+ rocm-smi || true
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+ else
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+ sleep 2
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+ fi
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+
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+ export NCCL_SOCKET_IFNAME=hsn0,hsn1,hsn2,hsn3
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+ export OMP_NUM_THREADS=$SLURM_CPUS_PER_TASK
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+ export FI_CXI_DEFAULT_CQ_SIZE=131072
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+
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+ # debugging (noisy)
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+ #export NCCL_DEBUG=INFO
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+ #export RCCL_KERNEL_COLL_TRACE_ENABLE=1
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+ #export NCCL_DEBUG_SUBSYS=INIT,COLL
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+
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+ module --quiet purge
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+ module load cray-python
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+
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+ module load CrayEnv
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+ module load PrgEnv-cray/8.3.3
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+ module load craype-accel-amd-gfx90a
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+ module load cray-python
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+
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+ module use /pfs/lustrep2/projappl/project_462000125/samantao-public/mymodules
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+ module load suse-repo-deps/sam-default
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+ module load rocm/sam-5.2.3.lua
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+ module load rccl/sam-develop.lua
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+ module load aws-ofi-rccl/sam-default.lua
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+
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+ source /scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/bin/activate
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+
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+ MASTER_NODE=$(scontrol show hostnames "$SLURM_JOB_NODELIST" | head -n 1)
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+ MASTER_PORT=9999
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+
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+ echo "Launching on $SLURMD_NODENAME ($SLURM_PROCID/$SLURM_JOB_NUM_NODES)," \
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+ "master $MASTER_NODE port $MASTER_PORT," \
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+ "GPUs $SLURM_GPUS_ON_NODE," \
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+ "CUDA: $(python -c 'import torch; print(torch.cuda.is_available())')"
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+
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+ python -u -m torch.distributed.run \
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+ --nnodes $SLURM_JOB_NUM_NODES \
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+ --nproc_per_node $SLURM_GPUS_ON_NODE \
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+ --node_rank=$SLURM_PROCID \
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+ --master_addr $MASTER_NODE \
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+ --master_port $MASTER_PORT \
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+ "$@"
sbatch_mtf_xp3ru.sh ADDED
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+ #!/bin/bash
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+ #SBATCH --nodes=8
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+ #SBATCH --ntasks-per-node=1
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+ #SBATCH --cpus-per-task=32
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+ #SBATCH --mem=256G
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+ #SBATCH -p pilot
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+ #SBATCH -t 48:00:00
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+ #SBATCH --gpus-per-node=mi250:8
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+ #SBATCH --exclusive=user
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+ #SBATCH --hint=nomultithread
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+ #SBATCH --account=project_462000119
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+ #SBATCH -o logs/%j.out
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+ #SBATCH -e logs/%j.err
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+
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+ # if run without sbatch, invoke here
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+ #if [ -z $SLURM_JOB_ID ]; then
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+ # mkdir -p logs
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+ # sbatch "$0"
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+ # exit
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+ #fi
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+
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+ VARIANT=7b1xp3ru
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+
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+ set -euo pipefail
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+
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+ # symlink logs/latest.out and logs/latest.err
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+ ln -f -s $SLURM_JOB_ID.out logs/latest.out
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+ ln -f -s $SLURM_JOB_ID.err logs/latest.err
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+
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+ KILL_SWITCH_PATH=kill-switch-$VARIANT
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+ CHECKPOINT_PATH=checkpoints_$VARIANT
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+ TENSORBOARD_PATH=tensorboard_$VARIANT
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+
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+ # Data
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+ TOKENIZER_NAME_OR_PATH=bigscience/tokenizer
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+
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+ TRAIN_DATA_PATH=/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3_train_ru.txt
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+ VALID_DATA_PATH=/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3_validation_ru.txt
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+
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+ PP_SIZE=1
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+ TP_SIZE=1
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+
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+ MICRO_BATCH_SIZE=2
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+ GRADIENT_ACCUMULATION_STEPS=16
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+ WORLD_SIZE=$((SLURM_GPUS_ON_NODE*SLURM_JOB_NUM_NODES))
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+ GLOBAL_BATCH_SIZE=$((MICRO_BATCH_SIZE*WORLD_SIZE*GRADIENT_ACCUMULATION_STEPS))
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+
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+ # Model parameters
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+ NLAYERS=30
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+ NHIDDEN=4096
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+ NHEADS=32
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+ SEQ_LEN=2048
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+
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+ TRAIN_SAMPLES=6_348_800
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+
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+ SAVE_INTERVAL=500
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+
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+ ZERO_STAGE=1
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+
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+ mkdir -p ds_configs
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+ config_json="ds_configs/$SLURM_JOB_ID.json"
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+
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+ cat <<EOT > $config_json
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+ {
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+ "train_micro_batch_size_per_gpu": $MICRO_BATCH_SIZE,
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+ "train_batch_size": $GLOBAL_BATCH_SIZE,
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+ "gradient_clipping": 1.0,
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+ "zero_optimization": {
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+ "stage": $ZERO_STAGE
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+ },
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+ "fp16": {
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+ "enabled": true,
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+ "loss_scale": 0,
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+ "loss_scale_window": 500,
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+ "hysteresis": 2,
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+ "min_loss_scale": 1,
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+ "initial_scale_power": 12
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+ },
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+ "steps_per_print": 2000,
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+ "wall_clock_breakdown": false
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+ }
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+ EOT
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+
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+
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+ CMD=" \
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+ Megatron-DeepSpeed/finetune_t0.py \
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+ --tensor-model-parallel-size $TP_SIZE \
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+ --pipeline-model-parallel-size $PP_SIZE \
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+ --num-layers $NLAYERS \
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+ --hidden-size $NHIDDEN \
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+ --num-attention-heads $NHEADS \
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+ --seq-length $SEQ_LEN \
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+ --max-position-embeddings $SEQ_LEN \
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+ --micro-batch-size $MICRO_BATCH_SIZE \
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+ --global-batch-size $GLOBAL_BATCH_SIZE \
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+ --train-samples $TRAIN_SAMPLES \
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+ --tokenizer-type PretrainedFromHF \
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+ --tokenizer-name-or-path $TOKENIZER_NAME_OR_PATH \
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+ --init-method-std 0.0048 \
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+ --embed-layernorm \
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+ --fp16 \
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+ --seed 42 \
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+ --position-embedding-type alibi \
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+ --abort-on-unmet-fused-kernel-constraints \
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+ --clip-grad 1.0 \
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+ --kill-switch-path $KILL_SWITCH_PATH \
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+ --checkpoint-activations \
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+ --pad-vocab-size-to 250880 \
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+ --optimizer adam \
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+ --adam-beta1 0.9 \
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+ --adam-beta2 0.95 \
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+ --adam-eps 1e-8 \
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+ --lr 2e-5 \
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+ --lr-decay-style constant \
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+ --lr-warmup-samples 0 \
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+ --clip-grad 1.0 \
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+ --weight-decay 1e-4 \
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+ --no-load-optim \
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+ --reset-progress \
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+ --norm-target-loss \
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+ --log-interval 10 \
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+ --save-interval $SAVE_INTERVAL \
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+ --eval-interval 500 \
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+ --eval-iters 1 \
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+ --tensorboard-dir $TENSORBOARD_PATH \
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+ --tensorboard-queue-size 5 \
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+ --log-timers-to-tensorboard \
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+ --log-batch-size-to-tensorboard \
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+ --log-validation-ppl-to-tensorboard \
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+ --save $CHECKPOINT_PATH \
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+ --load $CHECKPOINT_PATH \
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+ --train-weighted-split-paths-path $TRAIN_DATA_PATH \
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+ --valid-weighted-split-paths-path $VALID_DATA_PATH \
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+ --dataloader-type single \
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+ --data-impl mmap \
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+ --deepspeed \
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+ --deepspeed_config $config_json \
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+ --zero-stage $ZERO_STAGE \
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+ "
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+
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+ echo $CMD
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+
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+ echo "START $SLURM_JOBID: $(date)"
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+
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+ srun --label launch.sh $CMD
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+
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+ echo "END $SLURM_JOBID: $(date)"
xp3_train_ru.txt ADDED
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+ "train: 0.34682039044965196 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_en, 0.11629763695589916 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ru, 0.07047712423848855 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_es, 0.05705321149447986 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_pt, 0.05162759832018098 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_fr, 0.043535252356335014 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ar, 0.04287450755952809 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_id, 0.04272211963743812 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_zh, 0.04089577291615753 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_hi, 0.040309863136062274 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_code, 0.028867440155442382 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_vi, 0.017854964823074384 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ur, 0.012406528830246035 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_te, 0.00860509613805147 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ta, 0.007750785544287363 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_bn, 0.006201179459433538 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_mr, 0.005220691815104342 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_sw, 0.00521883024752445 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_gu, 0.004870233102513846 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_pa, 0.0036643096242597105 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ne, 0.003283693516874961 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_yo, 0.003027132273014225 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ig, 0.002532886080552859 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ny, 0.0024544768540878015 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_zu, 0.002370333999476676 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_xh, 0.0023500801442074494 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_sn, 0.0023293050500158533 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ts, 0.0023208907645547406 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_rw, 0.002195979579943977 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_lg, 0.002192219213432595 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_tn, 0.002138084828209331 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_nso, 0.0017962265578379366 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_rn, 0.0016292439459216106 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ml, 0.001540037627493179 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_kn, 0.0015028807385985316 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_or, 0.0014542938247633463 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_as, 0.0011756171580534914 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ln, 0.0011406941502547145 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_wo, 0.0010800070471502304 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_tum, 0.0010707364406023676 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ki, 0.0010618009162188852 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_st, 0.0010524558469678267 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_fon, 0.0010294096403287618 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ca, 0.0010062889709865012 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_eu, 0.0010060283515253164 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ak, 0.0009963482001098772 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_bm, 0.000989311474657885 0:0.950 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_tw"
xp3_validation_ru.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ "validation: 0.34682039044965196 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_en, 0.11629763695589916 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ru, 0.07047712423848855 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_es, 0.05705321149447986 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_pt, 0.05162759832018098 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_fr, 0.043535252356335014 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ar, 0.04287450755952809 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_id, 0.04272211963743812 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_zh, 0.04089577291615753 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_hi, 0.040309863136062274 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_code, 0.028867440155442382 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_vi, 0.017854964823074384 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ur, 0.012406528830246035 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_te, 0.00860509613805147 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ta, 0.007750785544287363 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_bn, 0.006201179459433538 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_mr, 0.005220691815104342 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_sw, 0.00521883024752445 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_gu, 0.004870233102513846 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_pa, 0.0036643096242597105 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ne, 0.003283693516874961 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_yo, 0.003027132273014225 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ig, 0.002532886080552859 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ny, 0.0024544768540878015 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_zu, 0.002370333999476676 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_xh, 0.0023500801442074494 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_sn, 0.0023293050500158533 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ts, 0.0023208907645547406 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_rw, 0.002195979579943977 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_lg, 0.002192219213432595 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_tn, 0.002138084828209331 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_nso, 0.0017962265578379366 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_rn, 0.0016292439459216106 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ml, 0.001540037627493179 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_kn, 0.0015028807385985316 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_or, 0.0014542938247633463 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_as, 0.0011756171580534914 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ln, 0.0011406941502547145 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_wo, 0.0010800070471502304 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_tum, 0.0010707364406023676 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ki, 0.0010618009162188852 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_st, 0.0010524558469678267 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_fon, 0.0010294096403287618 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ca, 0.0010062889709865012 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_eu, 0.0010060283515253164 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_ak, 0.0009963482001098772 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_bm, 0.000989311474657885 0.950:1 /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-mtf/xp3/xp3_tw"