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100644 index 0000000000000000000000000000000000000000..09375381eb37bb1adba8a909002ddc4ccfe00cfa --- /dev/null +++ b/runs/May31_16-08-57_nid007867/events.out.tfevents.1780233117.nid007867.38363.0 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9b6a8a34e28958ca4ee607ec24cc04eb705d7c62382458c403c738354974c155 +size 2631405 diff --git a/scheduler.pt b/scheduler.pt index e6236f28c0d347b0c817f0586161c1d3c5e070f8..22857d1bc1ff6dc271997b26661c903898e1e8a9 100644 --- a/scheduler.pt +++ b/scheduler.pt @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:5aafa6f75f83dd9e16a017cacae3f09f91ebc664481f1f07d0ced4fb6a26dbd1 +oid sha256:923d59d69baf750f0b265efcbd8ffd77fe44729752e88ef7142013867ae43a1f size 1465 diff --git a/slurm_script b/slurm_script new file mode 100755 index 0000000000000000000000000000000000000000..895bf347b0b1fd30d7f6cc078d214d1d03516379 --- /dev/null +++ b/slurm_script @@ -0,0 +1,69 @@ +#!/bin/bash -l +#SBATCH --job-name=scope +#SBATCH --output=logs/scope.out +#SBATCH --error=logs/scope.err +#SBATCH --partition=small-g +#SBATCH --ntasks-per-node=1 +#SBATCH --nodes=1 # Total number of nodes +#SBATCH --cpus-per-task=16 +#SBATCH --gpus-per-node=4 # Allocate one gpu per MPI rank +#SBATCH --array=0 +#SBATCH --mem=128G +#SBATCH --time=12:00:00 # Run time (d-hh:mm:ss) +#SBATCH --account=project_465002532 # Project for billing + +module use /appl/local/csc/modulefiles/ +module use /appl/local/training/modules/AI-20241126/ +export TOKENIZERS_PARALLELISM=false +export CRUX_ROOT=${HOME}/datasets/crux + +lr=5e-5 +model_dir=${HOME}/models/CoveR/unsupervised.scope-10k + +mkdir -p ${model_dir} +cp $0 ${model_dir} + +GPUS_PER_NODE=4 +NUM_NODES=1 +NUM_PROCESSES=$(expr $NUM_NODES \* $GPUS_PER_NODE) +PRETRAINED=nomic-ai/modernbert-embed-base-unsupervised + +# Start experiments +srun singularity exec $SIF \ + accelerate launch -m \ + --multi_gpu --mixed_precision=bf16 \ + --num_processes $NUM_PROCESSES --num_machines $NUM_NODES \ + tevatron.retriever.driver.train_dualdistil \ + --exclude_title \ + --output_dir ${model_dir} \ + --model_name_or_path $PRETRAINED \ + --save_steps 1000 \ + --dataset_name DylanJHJ/crux-researchy-kdnew-ext \ + --corpus_name DylanJHJ/crux-researchy-corpus \ + --dataset_split pos_half.neu_low.neg_zero \ + --per_device_train_batch_size 16 \ + --train_group_size 8 \ + --prediction_loss_only True \ + --bf16 --pooling mean --normalize \ + --passage_prefix "search_document: " \ + --query_prefix "search_query: " \ + --subquery_prefix "search_query: " \ + --temperature 0.02 \ + --use_crossentropy 1.0 \ + --use_kld 0.0 \ + --contrastive_lambda 1.0 \ + --sq_contrastive_lambda 0.0 \ + --covdistil_method KLD \ + --covdistil_lambda 0.0 \ + --eval_steps 500 \ + --learning_rate $lr \ + --query_max_len 180 \ + --passage_max_len 512 \ + --dataloader_num_workers 8 \ + --lr_scheduler_type 'cosine' \ + --weight_decay 0.01 \ + --max_steps 10000 \ + --warmup_steps 1000 \ + --logging_steps 10 \ + --overwrite_output_dir \ + --run_name ${model_dir##*/} diff --git a/trainer_state.json b/trainer_state.json index 92429e2cba340d0fee75a689f3e97c3dc556b7a3..d85f1e33131effeb1daa36e992020738e2bb2d15 100644 --- a/trainer_state.json +++ b/trainer_state.json @@ -2,9 +2,9 @@ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, - "epoch": 7.849293563579278, + "epoch": 3.924646781789639, "eval_steps": 500.0, - "global_step": 10000, + "global_step": 5000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, @@ -56,13 +56,13 @@ }, { "epoch": 0, - "overlap": 0.22031250596046448, + "overlap": 0.2640624940395355, "step": 0 }, { "epoch": 0, "step": 0, - "student margin": 0.043792724609375 + "student margin": 0.0285186767578125 }, { "epoch": 0, @@ -71,5452 +71,5452 @@ }, { "epoch": 0, - "margin difference": -0.006439208984375, + "margin difference": 0.0088348388671875, "step": 0 }, { - "cov-distil": 1.9989408254623413, - "cov-distil 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