sync https://github.com/JL-er/RWKV-PEFT

finetune/lora/v6/demo/demo-training-run.sh

@@ -0,0 +1,21 @@
+#!/bin/bash
+
+BASE_NAME="model/0.1-1"
+N_LAYER="12"
+N_EMBD="768"
+M_BSZ="16" # takes 16G VRAM (reduce this to save VRAM)
+LR_INIT="6e-4"
+LR_FINAL="6e-5"
+GRAD_CP=0 # set to 1 to save VRAM (will be slower)
+EPOCH_SAVE=10
+
+# magic_prime = the largest 3n+2 prime smaller than datalen/ctxlen-1 (= 1498226207/512-1 = 2926222.06 in this case)
+# use https://www.dcode.fr/prime-numbers-search
+
+python train.py --load_model "0" --wandb "RWKV-5-Test" --proj_dir $BASE_NAME \
+ --ctx_len 512 --my_pile_stage 3 --epoch_count 999999 --epoch_begin 0 \
+ --data_file "data/minipile" --my_exit_tokens 1498226207 --magic_prime 2926181 \
+ --num_nodes 1 --micro_bsz $M_BSZ --n_layer $N_LAYER --n_embd $N_EMBD --pre_ffn 0 --head_qk 0 \
+ --lr_init $LR_INIT --lr_final $LR_FINAL --warmup_steps 10 --beta1 0.9 --beta2 0.99 --adam_eps 1e-8 --my_pile_edecay 0 --data_type "binidx" --vocab_size 65536 \
+ --weight_decay 0.001 --epoch_save $EPOCH_SAVE --head_size_a 64 \
+ --accelerator gpu --devices 1 --precision bf16 --strategy deepspeed_stage_2 --grad_cp $GRAD_CP --enable_progress_bar True --ds_bucket_mb 200