From: François Fleuret Date: Wed, 13 Sep 2023 11:20:27 +0000 (+0200) Subject: Update. X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=commitdiff_plain;h=c951702f59f869c58d59b59f60a4931d890a13dc;p=culture.git Update. --- diff --git a/main.py b/main.py index 704dff5..7197414 100755 --- a/main.py +++ b/main.py @@ -46,7 +46,7 @@ parser.add_argument("--max_percents_of_test_in_train", type=int, default=1) ######################################## -parser.add_argument("--nb_epochs", type=int, default=None) +parser.add_argument("--nb_epochs", type=int, default=25) parser.add_argument("--batch_size", type=int, default=None) @@ -176,104 +176,91 @@ if args.result_dir is None: ###################################################################### default_task_args = { + "addition": { + "model": "352M", + "batch_size": 25, + "nb_train_samples": 250000, + "nb_test_samples": 10000, + }, "byheart": { "model": "37M", - "nb_epochs": 2, "batch_size": 25, "nb_train_samples": 50000, "nb_test_samples": 10000, }, - "learnop": { + "expr": { + "model": "352M", + "batch_size": 25, + "nb_train_samples": 2500000, + "nb_test_samples": 10000, + }, + "grid": { "model": "37M", - "nb_epochs": 15, "batch_size": 25, - "nb_train_samples": 50000, + "nb_train_samples": 250000, "nb_test_samples": 10000, }, "guessop": { "model": "352M", - "nb_epochs": 5, "batch_size": 25, "nb_train_samples": 1000000, "nb_test_samples": 10000, }, - "twotargets": { + "learnop": { "model": "37M", - "nb_epochs": 10, "batch_size": 25, "nb_train_samples": 50000, "nb_test_samples": 10000, }, - "addition": { - "model": "352M", - "nb_epochs": 50, - "batch_size": 25, - "nb_train_samples": 250000, + "maze": { + "model": "37M", + "batch_size": 5, + "nb_train_samples": 100000, "nb_test_samples": 10000, }, "picoclvr": { "model": "37M", - "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": { - "model": "37M", - "nb_epochs": 25, + "rpl": { + "model": "352M", "batch_size": 5, - "nb_train_samples": 100000, + "nb_train_samples": 2500000, "nb_test_samples": 10000, }, "snake": { "model": "37M", - "nb_epochs": 5, "batch_size": 25, "nb_train_samples": 250000, "nb_test_samples": 10000, }, "stack": { "model": "37M", - "nb_epochs": 15, "batch_size": 25, "nb_train_samples": 100000, "nb_test_samples": 1000, }, - "expr": { - "model": "352M", - "nb_epochs": 25, + "twotargets": { + "model": "37M", "batch_size": 25, - "nb_train_samples": 2500000, + "nb_train_samples": 50000, "nb_test_samples": 10000, }, - "rpl": { - "model": "122M", - "nb_epochs": 50, - "batch_size": 5, - "nb_train_samples": 1000000, + + "mnist": { + "model": "37M", + "batch_size": 10, + "nb_train_samples": 60000, "nb_test_samples": 10000, }, "world": { "model": "37M", - "nb_epochs": 10, "batch_size": 25, "nb_train_samples": 25000, "nb_test_samples": 1000, }, - "grid": { - "model": "37M", - "nb_epochs": 25, - "batch_size": 25, - "nb_train_samples": 250000, - "nb_test_samples": 10000, - }, } if args.task in default_task_args: