Add resuming script for 1024bs script

resume_125m_1e-4lr_1024bs.sh

@@ -0,0 +1,38 @@
+#! /bin/bash
+./run_clm_streaming_flax_v2.py \
+    --output_dir $HOME/gpt-neo-125M-code-clippy-125M-1e-4lr-1024bs \
+    --model_name_or_path="flax-community/gpt-neo-125M-code-clippy" \
+    --dataset_name $HOME/gpt-code-clippy/code_clippy.py \
+    --data_dir /home/shared/code_clippy_data \
+    --text_column_name="text" \
+    --do_train --do_eval \
+    --block_size="2048" \
+    --per_device_train_batch_size="8" \
+    --per_device_eval_batch_size="16" \
+    --preprocessing_num_workers="8" \
+    --learning_rate="1e-4" \
+    --max_steps 100000 \
+    --warmup_steps 2500 \
+    --decay_steps 25000 \
+    --adam_beta1="0.9" \
+    --adam_beta2="0.95" \
+    --weight_decay="0.1" \
+    --overwrite_output_dir \
+    --logging_steps="100" \
+    --eval_steps="500" \
+    --push_to_hub="False" \
+    --report_to="all" \
+    --dtype="bfloat16" \
+    --skip_memory_metrics="True" \
+    --save_steps="500" \
+    --save_total_limit 10 \
+    --gradient_accumulation_steps 16 \
+    --report_to="wandb" \
+    --run_name="125m_1e-4lr_1024bs" \
+    --max_eval_samples 2000 \
+    --save_optimizer true \
+    --resume_from_checkpoint $HOME/gpt-neo-125M-code-clippy-test-1 \
+    # --adafactor \
+    # --resume_from_checkpoint $HOME/gpt-neo-125M-code-clippy/ \
+    # --max_train_samples="10000" \
+