caidongqi/adafl:1.1.0

README.md

@@ -11,8 +11,8 @@ FedAdapter is built atop FedNLP beta (commit id: 27f3f97), the document file and
 ## Docker (Recommanded)
 Install docker in your machine. Then run the following command to build the docker image.
 ```bash
-docker pull caidongqi/adafl:1.0.1
-docker run -it --gpus all --network host caidongqi/adafl:1.0.1 bash
+docker pull caidongqi/adafl:1.1.0
+docker run -it --gpus all --network host caidongqi/adafl:1.1.0 bash
 ```
 We recommand using VSCode docker extension to develop in the docker container.
 ## Step-by-step installation

run_all.sh

@@ -0,0 +1,85 @@
+# BERT-base
+# 20NEWS (provided in ae.pdf)
+cd /app/experiments/distributed/transformer_exps/run_tc_exps
+python trial_error.py \
+    --dataset 20news\
+    --round -1 \
+    --depth 0 \
+    --width 8 \
+    --time_threshold 60 \
+    --max_round 3000
+
+# AGNEWS
+cd /app/experiments/distributed/transformer_exps/run_tc_exps
+python trial_error.py \
+    --dataset agnews\
+    --round -1 \
+    --depth 0 \
+    --width 8 \
+    --time_threshold 90 \
+    --max_round 3000
+
+# SEMEVAL
+cd /app/experiments/distributed/transformer_exps/run_tc_exps
+python trial_error.py \
+    --dataset semeval_2010_task8\
+    --round -1 \
+    --depth 0 \
+    --width 8 \
+    --time_threshold 90 \
+    --max_round 3000
+
+# ONTO
+cd /app/experiments/distributed/transformer_exps/run_st_exps
+python trial_error.py \
+    --dataset onto\
+    --round -1 \
+    --depth 1 \
+    --width 8 \
+    --time_threshold 100 \
+    --max_round 3000
+
+# DistilBERT-base
+mv /app/experiments/distributed/transformer_exps/run_tc_exps/run_text_classification_freeze.sh /app/experiments/distributed/transformer_exps/run_tc_exps/run_text_classification_freeze_bert.sh
+mv /app/experiments/distributed/transformer_exps/run_tc_exps/run_text_classification_freeze_distilbert.sh /app/experiments/distributed/transformer_exps/run_tc_exps/run_text_classification_freeze.sh
+mv /app/experiments/distributed/transformer_exps/run_st_exps/run_seq_tagging_trial.sh /app/experiments/distributed/transformer_exps/run_st_exps/run_seq_tagging_trial_bert.sh
+mv /app/experiments/distributed/transformer_exps/run_st_exps/run_seq_tagging_trial_distilbert.sh /app/experiments/distributed/transformer_exps/run_st_exps/run_seq_tagging_trial.sh
+# 20NEWS
+cd /app/experiments/distributed/transformer_exps/run_tc_exps
+python trial_error.py \
+    --dataset 20news\
+    --round -1 \
+    --depth 0 \
+    --width 8 \
+    --time_threshold 60 \
+    --max_round 3000
+
+# AGNEWS
+cd /app/experiments/distributed/transformer_exps/run_tc_exps
+python trial_error.py \
+    --dataset agnews\
+    --round -1 \
+    --depth 0 \
+    --width 8 \
+    --time_threshold 90 \
+    --max_round 3000
+
+# SEMEVAL
+cd /app/experiments/distributed/transformer_exps/run_tc_exps
+python trial_error.py \
+    --dataset semeval_2010_task8\
+    --round -1 \
+    --depth 0 \
+    --width 8 \
+    --time_threshold 90 \
+    --max_round 3000
+
+# ONTO
+cd /app/experiments/distributed/transformer_exps/run_st_exps
+python trial_error.py \
+    --dataset onto\
+    --round -1 \
+    --depth 1 \
+    --width 8 \
+    --time_threshold 100 \
+    --max_round 3000