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hyperparam

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51616 2025-01-20 17:28:59 +00:00
parent 82910a94ed
commit 52eaf6c53e
2 changed files with 6 additions and 5 deletions
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9
batch_gemma_llama_vision.sh
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@ -3,6 +3,7 @@
#SBATCH --partition=a3
#SBATCH --nodes=1
#SBATCH --gpus=8
#SBATCH --exclude=slurm0-a3nodeset-7
#SBATCH --output=outputs/%x-%j.out
#SBATCH --error=outputs/%x-%j.out
@ -18,13 +19,13 @@
conda activate /home/rujikorn_sakana_ai/.conda/envs/llm-modulator
# eval "$@"
accelerate launch --num_processes=8 --gradient_accumulation_steps=4 --gradient_clipping=1.0 \
accelerate launch --num_processes=8 --gradient_accumulation_steps=2 --gradient_clipping=1.0 \
--gpu_ids all --main_process_port 29554 intx_sft.py configs/pretrain_all.yaml \
--model_name_or_path=google/gemma-2-2b-it --num_train_epochs=5.1 --per_device_train_batch_size=8 \
--gradient_accumulation_steps=4 --per_device_eval_batch_size=4 --exp_setup=hyper_lora --aggregator_type=perceiver \
--target_modules=down_proj,up_proj --num_blocks=1 --num_self_attends_per_block=32 \
--gradient_accumulation_steps=2 --per_device_eval_batch_size=4 --exp_setup=hyper_lora --aggregator_type=perceiver \
--target_modules=down_proj,up_proj --num_blocks=1 --num_self_attends_per_block=16 \
--self_attention_widening_factor=4 --eval_steps=5000 --save_steps=5000 --learning_rate=2e-5 \
--neftune_noise_alpha=5 --use_light_weight_lora=True --light_weight_latent_size=1024 \
--neftune_noise_alpha=5 --use_light_weight_lora=True --light_weight_latent_size=512 \
--load_best_model_at_end=True --metric_for_best_model=pwc_loss --add_negative_prompt=False \
--add_repeat_prompt=False --ctx_encoder_model_name_or_path=meta-llama/Llama-3.2-11B-Vision-Instruct

2
batch_llama_3_8b_1k_latent.sh
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@ -20,7 +20,7 @@ conda activate /home/rujikorn_sakana_ai/.conda/envs/llm-modulator
accelerate launch --num_processes=8 --gradient_accumulation_steps=4 --gradient_clipping=1.0 \
--gpu_ids all --main_process_port 29555 intx_sft.py configs/pretrain_all.yaml \
--model_name_or_path=meta-llama/Llama-3.1-8B-Instruct --num_train_epochs=5.1 --per_device_train_batch_size=8 \
--model_name_or_path=meta-llama/Llama-3.1-8B-Instruct --num_train_epochs=10.1 --per_device_train_batch_size=8 \
--gradient_accumulation_steps=4 --per_device_eval_batch_size=4 --exp_setup=hyper_lora --aggregator_type=perceiver \
--target_modules=down_proj,up_proj --num_blocks=1 --num_self_attends_per_block=32 \
--self_attention_widening_factor=4 --eval_steps=5000 --save_steps=5000 --learning_rate=2e-5 \