Doc-to-LoRA release

scripts/niah/train_qwen3_4b.sh

@@ -0,0 +1,39 @@
+WANDB_MODE=disabled run uv run train.py configs/niah_exp/ctx_magic_number_32_256.yaml \
+--model_name_or_path=Qwen/Qwen3-4B-Instruct-2507 \
+--num_train_epochs=1 \
+--per_device_train_batch_size=-1 \
+--gradient_accumulation_steps=32 \
+--per_device_eval_batch_size=16 \
+--exp_setup=hyper_lora \
+--aggregator_type=perceiver \
+--target_modules=down_proj \
+--num_blocks=8 \
+--num_self_attn_per_block=0 \
+--num_pre_head_layers=1 \
+--lora_r=8 \
+--eval_steps=100 \
+--logging_steps=10 \
+--save_steps=1000 \
+--learning_rate=4e-5 \
+--lora_dropout=0.0 \
+--neftune_noise_alpha=0 \
+--per_rank_gen=True \
+--per_layer_processing=True \
+--gen_lora_l1_reg_coef=0.5 \
+--use_sequence_packing=True \
+--max_packed_inp_len=2048 \
+--max_packed_ctx_len=2048 \
+--dataloader_num_workers=0 \
+--dataloader_prefetch_factor=None \
+--eval_on_start=False \
+--ctx_encoder_type=early_exit \
+--n_latent_queries=208 \
+--use_kl_loss=False \
+--eval_on_start=True \
+--max_ctx_chunk_len=512 \
+--min_ctx_chunk_len=25 \
+--num_chunk_probs='{"1":"0.5", "2":"0.125", "3":"0.0625", "4":"0.0625", "5":"0.0625", "6":"0.0625", "7":"0.0625", "8":"0.0625"}' \
+--max_val_samples_per_ds=100 \
+--seed=1 \
+--use_per_ctx_average_loss=True \
+--torch_empty_cache_steps=10