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Update.
[picoclvr.git]
/
main.py
diff --git
a/main.py
b/main.py
index
303abc1
..
dbdf89d
100755
(executable)
--- a/
main.py
+++ b/
main.py
@@
-32,7
+32,7
@@
parser = argparse.ArgumentParser(
parser.add_argument(
"--task",
type=str,
parser.add_argument(
"--task",
type=str,
- default="
sandbox
",
+ default="
twotargets
",
help="byheart, learnop, guessop, twotargets, addition, picoclvr, mnist, maze, snake, stack, expr, rpl",
)
help="byheart, learnop, guessop, twotargets, addition, picoclvr, mnist, maze, snake, stack, expr, rpl",
)
@@
-62,7
+62,7
@@
parser.add_argument("--learning_rate_schedule", type=str, default="10: 2e-5,30:
########################################
########################################
-parser.add_argument("--model", type=str, default=
"37M"
)
+parser.add_argument("--model", type=str, default=
None
)
parser.add_argument("--dim_model", type=int, default=None)
parser.add_argument("--dim_model", type=int, default=None)
@@
-172,78
+172,91
@@
if args.result_dir is None:
default_task_args = {
"byheart": {
default_task_args = {
"byheart": {
+ "model": "37M",
"nb_epochs": 5,
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"learnop": {
"nb_epochs": 5,
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"learnop": {
+ "model": "37M",
"nb_epochs": 5,
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"guessop": {
"nb_epochs": 5,
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"guessop": {
+ "model": "122M",
"nb_epochs": 5,
"batch_size": 25,
"nb_epochs": 5,
"batch_size": 25,
- "nb_train_samples": 50000,
+ "nb_train_samples":
2
50000,
"nb_test_samples": 10000,
},
"twotargets": {
"nb_test_samples": 10000,
},
"twotargets": {
+ "model": "37M",
"nb_epochs": 5,
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"addition": {
"nb_epochs": 5,
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"addition": {
+ "model": "122M",
"nb_epochs": 5,
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"picoclvr": {
"nb_epochs": 5,
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"picoclvr": {
+ "model": "37M",
"nb_epochs": 25,
"batch_size": 25,
"nb_train_samples": 250000,
"nb_test_samples": 10000,
},
"mnist": {
"nb_epochs": 25,
"batch_size": 25,
"nb_train_samples": 250000,
"nb_test_samples": 10000,
},
"mnist": {
+ "model": "37M",
"nb_epochs": 25,
"batch_size": 10,
"nb_train_samples": 60000,
"nb_test_samples": 10000,
},
"maze": {
"nb_epochs": 25,
"batch_size": 10,
"nb_train_samples": 60000,
"nb_test_samples": 10000,
},
"maze": {
+ "model": "37M",
"nb_epochs": 25,
"batch_size": 5,
"nb_train_samples": 250000,
"nb_test_samples": 10000,
},
"snake": {
"nb_epochs": 25,
"batch_size": 5,
"nb_train_samples": 250000,
"nb_test_samples": 10000,
},
"snake": {
+ "model": "37M",
"nb_epochs": 5,
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"stack": {
"nb_epochs": 5,
"batch_size": 25,
"nb_train_samples": 50000,
"nb_test_samples": 10000,
},
"stack": {
+ "model": "37M",
"nb_epochs": 5,
"batch_size": 25,
"nb_train_samples": 100000,
"nb_test_samples": 1000,
},
"expr": {
"nb_epochs": 5,
"batch_size": 25,
"nb_train_samples": 100000,
"nb_test_samples": 1000,
},
"expr": {
+ "model": "37M",
"nb_epochs": 40,
"batch_size": 25,
"nb_train_samples": 1000000,
"nb_test_samples": 10000,
},
"rpl": {
"nb_epochs": 40,
"batch_size": 25,
"nb_train_samples": 1000000,
"nb_test_samples": 10000,
},
"rpl": {
+ "model": "37M",
"nb_epochs": 40,
"batch_size": 25,
"nb_train_samples": 100000,
"nb_test_samples": 10000,
},
"world": {
"nb_epochs": 40,
"batch_size": 25,
"nb_train_samples": 100000,
"nb_test_samples": 10000,
},
"world": {
+ "model": "37M",
"nb_epochs": 10,
"batch_size": 25,
"nb_train_samples": 25000,
"nb_epochs": 10,
"batch_size": 25,
"nb_train_samples": 25000,