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gemma data exp

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51616 2025-06-06 15:29:27 +00:00
parent b831de2639
commit 669186ace6
7 changed files with 253 additions and 3 deletions
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23
scripts/gemma_data_exp/gemma_qa.sh Normal file
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#!/bin/bash
#SBATCH --job-name=ctxlora_medium
#SBATCH --partition=a3
#SBATCH --nodes=1
#SBATCH --gpus=4
#SBATCH --output=outputs/%x-%j.out
#SBATCH --error=outputs/%x-%j.out
uv run accelerate launch --num_processes=4 --gradient_accumulation_steps=8 --gradient_clipping=1.0 \
--gpu_ids all --main_process_port 29561 intx_sft.py configs/qa.yaml \
--model_name_or_path=google/gemma-2-2b-it --num_train_epochs=4 --per_device_train_batch_size=32 \
--gradient_accumulation_steps=8 --per_device_eval_batch_size=32 --exp_setup=hyper_lora --aggregator_type=perceiver \
--target_modules=down_proj \
--num_self_attends_per_block=4 --num_latent_factor=1 \
--lora_r=8 \
--eval_steps=5000 --save_steps=5000 --learning_rate=4e-5 --lora_dropout=0.0 \
--neftune_noise_alpha=5 --use_light_weight_lora=False \
--add_negative_prompt=False \
--add_repeat_prompt=False \
--use_sequence_packing=True --per_rank_gen=True \
--per_layer_processing=True \
--gen_lora_l1_reg_coef=0.1 \

23
scripts/gemma_data_exp/gemma_self_gen_qa.sh Normal file
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#!/bin/bash
#SBATCH --job-name=ctxlora_medium
#SBATCH --partition=a3
#SBATCH --nodes=1
#SBATCH --gpus=4
#SBATCH --output=outputs/%x-%j.out
#SBATCH --error=outputs/%x-%j.out
uv run accelerate launch --num_processes=4 --gradient_accumulation_steps=8 --gradient_clipping=1.0 \
--gpu_ids all --main_process_port 29562 intx_sft.py configs/self_gen_3_small.yaml \
--model_name_or_path=google/gemma-2-2b-it --num_train_epochs=4 --per_device_train_batch_size=32 \
--gradient_accumulation_steps=8 --per_device_eval_batch_size=32 --exp_setup=hyper_lora --aggregator_type=perceiver \
--target_modules=down_proj \
--num_self_attends_per_block=4 --num_latent_factor=1 \
--lora_r=8 \
--eval_steps=5000 --save_steps=5000 --learning_rate=4e-5 --lora_dropout=0.0 \
--neftune_noise_alpha=5 --use_light_weight_lora=False \
--add_negative_prompt=False \
--add_repeat_prompt=False \
--use_sequence_packing=True --per_rank_gen=True \
--per_layer_processing=True \
--gen_lora_l1_reg_coef=0.1 \

23
scripts/gemma_data_exp/gemma_self_gen_qa_and_pretrain.sh Normal file
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#!/bin/bash
#SBATCH --job-name=ctxlora_medium
#SBATCH --partition=a3
#SBATCH --nodes=1
#SBATCH --gpus=4
#SBATCH --output=outputs/%x-%j.out
#SBATCH --error=outputs/%x-%j.out
uv run accelerate launch --num_processes=4 --gradient_accumulation_steps=32 --gradient_clipping=1.0 \
--gpu_ids all --main_process_port 29563 intx_sft.py configs/self_gen_3_small_and_pretrain.yaml \
--model_name_or_path=google/gemma-2-2b-it --num_train_epochs=2 --per_device_train_batch_size=8 \
--gradient_accumulation_steps=32 --per_device_eval_batch_size=8 --exp_setup=hyper_lora --aggregator_type=perceiver \
--target_modules=down_proj \
--num_self_attends_per_block=4 --num_latent_factor=1 \
--lora_r=8 \
--eval_steps=5000 --save_steps=5000 --learning_rate=4e-5 --lora_dropout=0.0 \
--neftune_noise_alpha=5 --use_light_weight_lora=False \
--add_negative_prompt=False \
--add_repeat_prompt=False \
--use_sequence_packing=True --per_rank_gen=True \
--per_layer_processing=True \
--gen_lora_l1_reg_coef=0.1 \