diff --git "a/train_job_output.txt" "b/train_job_output.txt" --- "a/train_job_output.txt" +++ "b/train_job_output.txt" @@ -368,4 +368,65 @@ command outputs: 71%|███████ | 7575/10682 [1:09:51<25:33, 2.03it/s] 71%|███████ | 7576/10682 [1:09:51<25:35, 2.02it/s] 71%|███████ | 7577/10682 [1:09:52<25:32, 2.03it/s] 71%|███████ | 7578/10682 [1:09:52<25:32, 2.03it/s] 71%|███████ | 7579/10682 [1:09:52<25:31, 2.03it/s] 71%|███████ | 7580/10682 [1:09:53<25:30, 2.03it/s] 71%|███████ | 7581/10682 [1:09:53<25:30, 2.03it/s] 71%|███████ | 7582/10682 [1:09:54<25:28, 2.03it/s] 71%|███████ | 7583/10682 [1:09:54<25:28, 2.03it/s] 71%|███████ | 7584/10682 [1:09:55<25:28, 2.03it/s] 71%|███████ | 7585/10682 [1:09:55<25:28, 2.03it/s] 71%|███████ | 7586/10682 [1:09:56<25:28, 2.03it/s] 71%|███████ | 7587/10682 [1:09:56<25:26, 2.03it/s] 71%|███████ | 7588/10682 [1:09:57<25:25, 2.03it/s] 71%|███████ | 7589/10682 [1:09:57<25:25, 2.03it/s] 71%|███████ | 7590/10682 [1:09:58<25:24, 2.03it/s] 71%|███████ | 7591/10682 [1:09:58<25:24, 2.03it/s] 71%|███████ | 7592/10682 [1:09:59<25:23, 2.03it/s] 71%|███████ | 7593/10682 [1:09:59<25:22, 2.03it/s] 71%|███████ | 7594/10682 [1:10:00<25:21, 2.03it/s] 71%|███████ | 7595/10682 [1:10:00<25:20, 2.03it/s] 71%|███████ | 7596/10682 [1:10:01<25:22, 2.03it/s] 71%|███████ | 7597/10682 [1:10:01<25:22, 2.03it/s] 71%|███████ | 7598/10682 [1:10:02<25:21, 2.03it/s] 71%|███████ | 7599/10682 [1:10:02<25:21, 2.03it/s] 71%|███████ | 7600/10682 [1:10:03<25:19, 2.03it/s] {'loss': 2.9936, 'grad_norm': 0.25336384773254395, 'learning_rate': 0.00023289281143540065, 'epoch': 9.96} 71%|███████ | 7600/10682 [1:10:03<25:19, 2.03it/s] 71%|███████ | 7601/10682 [1:10:03<25:21, 2.02it/s] 71%|███████ | 7602/10682 [1:10:04<25:19, 2.03it/s] 71%|███████ | 7603/10682 [1:10:04<25:20, 2.02it/s] 71%|███████ | 7604/10682 [1:10:05<25:18, 2.03it/s] 71%|███████ | 7605/10682 [1:10:05<25:19, 2.03it/s] 71%|███████ | 7606/10682 [1:10:06<25:17, 2.03it/s] 71%|███████ | 7607/10682 [1:10:06<25:15, 2.03it/s] 71%|███████ | 7608/10682 [1:10:07<25:16, 2.03it/s] 71%|███████ | 7609/10682 [1:10:07<25:15, 2.03it/s] 71%|███████ | 7610/10682 [1:10:08<25:14, 2.03it/s] 71%|███████▏ | 7611/10682 [1:10:08<25:14, 2.03it/s] 71%|███████▏ | 7612/10682 [1:10:09<25:13, 2.03it/s] 71%|███████▏ | 7613/10682 [1:10:09<25:12, 2.03it/s] 71%|███████▏ | 7614/10682 [1:10:10<25:12, 2.03it/s] 71%|███████▏ | 7615/10682 [1:10:10<25:12, 2.03it/s] 71%|███████▏ | 7616/10682 [1:10:11<25:11, 2.03it/s] 71%|███████▏ | 7617/10682 [1:10:11<25:10, 2.03it/s] 71%|███████▏ | 7618/10682 [1:10:12<25:09, 2.03it/s] 71%|███████▏ | 7619/10682 [1:10:12<25:10, 2.03it/s] 71%|███████▏ | 7620/10682 [1:10:13<25:10, 2.03it/s] 71%|███████▏ | 7621/10682 [1:10:13<25:09, 2.03it/s] 71%|███████▏ | 7622/10682 [1:10:14<25:08, 2.03it/s] 71%|███████▏ | 7623/10682 [1:10:14<25:07, 2.03it/s] 71%|███████▏ | 7624/10682 [1:10:15<25:07, 2.03it/s] 71%|███████▏ | 7625/10682 [1:10:15<25:07, 2.03it/s]{'loss': 2.9853, 'grad_norm': 0.24884790182113647, 'learning_rate': 0.00022944844326774121, 'epoch': 9.99} 71%|███████▏ | 7625/10682 [1:10:15<25:07, 2.03it/s] 71%|███████▏ | 7626/10682 [1:10:16<25:28, 2.00it/s] 71%|███████▏ | 7627/10682 [1:10:16<25:21, 2.01it/s] 71%|███████▏ | 7628/10682 [1:10:17<25:16, 2.01it/s] 71%|███████▏ | 7629/10682 [1:10:17<25:12, 2.02it/s] 71%|███████▏ | 7630/10682 [1:10:18<24:54, 2.04it/s] 71%|███████▏ | 7631/10682 [1:10:32<4:01:19, 4.75s/it] 71%|███████▏ | 7632/10682 [1:10:33<2:56:23, 3.47s/it] 71%|███████▏ | 7633/10682 [1:10:33<2:10:57, 2.58s/it] 71%|███████▏ | 7634/10682 [1:10:34<1:39:13, 1.95s/it] 71%|███████▏ | 7635/10682 [1:10:34<1:17:03, 1.52s/it] 71%|███████▏ | 7636/10682 [1:10:35<1:01:23, 1.21s/it] 71%|███████▏ | 7637/10682 [1:10:35<50:29, 1.01it/s] 72%|███████▏ | 7638/10682 [1:10:36<42:48, 1.19it/s] 72%|███████▏ | 7639/10682 [1:10:36<37:27, 1.35it/s] 72%|███████▏ | 7640/10682 [1:10:37<33:42, 1.50it/s] 72%|███████▏ | 7641/10682 [1:10:37<31:03, 1.63it/s] 72%|███████▏ | 7642/10682 [1:10:38<29:14, 1.73it/s] 72%|███████▏ | 7643/10682 [1:10:38<27:56, 1.81it/s] 72%|███████▏ | 7644/10682 [1:10:39<27:00, 1.88it/s] 72%|███████▏ | 7645/10682 [1:10:39<26:22, 1.92it/s] 72%|███████▏ | 7646/10682 [1:10:40<25:55, 1.95it/s] 72%|███████▏ | 7647/10682 [1:10:40<25:40, 1.97it/s] 72%|███████▏ | 7648/10682 [1:10:41<25:27, 1.99it/s] 72%|███████▏ | 7649/10682 [1:10:41<25:15, 2.00it/s] 72%|███████▏ | 7650/10682 [1:10:42<25:08, 2.01it/s] {'loss': 2.8796, 'grad_norm': 0.25495854020118713, 'learning_rate': 0.00022602213475715589, 'epoch': 10.03} - 72%|███████▏ | 7650/10682 [1:10:42<25:08, 2.01it/s] 72%|███████▏ | 7651/10682 [1:10:42<25:04, 2.01it/s] 72%|███████▏ | 7652/10682 [1:10:43<25:04, 2.01it/s] 72%|███████▏ | 7653/10682 [1:10:43<27:00, 1.87it/s] 72%|███████▏ | 7654/10682 [1:10:44<26:20, 1.92it/s] 72%|███████▏ | 7655/10682 [1:10:44<25:56, 1.95it/s] 72%|███████▏ | 7656/10682 [1:10:45<25:37, 1.97it/s] 72%|███████▏ | 7657/10682 [1:10:45<25:24, 1.98it/s] 72%|███████▏ | 7658/10682 [1:10:46<25:14, 2.00it/s] 72%|███████▏ | 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2.02it/s] 72%|███████▏ | 7666/10682 [1:10:50<24:49, 2.02it/s] 72%|███████▏ | 7667/10682 [1:10:50<24:48, 2.03it/s] 72%|███████▏ | 7668/10682 [1:10:51<24:46, 2.03it/s] 72%|███████▏ | 7669/10682 [1:10:51<24:45, 2.03it/s] 72%|███████▏ | 7670/10682 [1:10:52<24:46, 2.03it/s] 72%|███████▏ | 7671/10682 [1:10:52<24:45, 2.03it/s] 72%|███████▏ | 7672/10682 [1:10:53<24:45, 2.03it/s] 72%|███████▏ | 7673/10682 [1:10:53<24:44, 2.03it/s] 72%|███████▏ | 7674/10682 [1:10:54<24:44, 2.03it/s] 72%|███████▏ | 7675/10682 [1:10:54<24:41, 2.03it/s]{'loss': 2.8647, 'grad_norm': 0.2537664473056793, 'learning_rate': 0.0002226141146140523, 'epoch': 10.06} + 72%|███████▏ | 7675/10682 [1:10:54<24:41, 2.03it/s] 72%|███████▏ | 7676/10682 [1:10:55<24:43, 2.03it/s] 72%|███████▏ | 7677/10682 [1:10:55<24:41, 2.03it/s] 72%|███████▏ | 7678/10682 [1:10:56<24:40, 2.03it/s] 72%|███████▏ | 7679/10682 [1:10:56<24:40, 2.03it/s] 72%|███████▏ | 7680/10682 [1:10:57<24:39, 2.03it/s] 72%|███████▏ | 7681/10682 [1:10:57<24:39, 2.03it/s] 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2.8655, 'grad_norm': 0.2602178454399109, 'learning_rate': 0.00021922461032806601, 'epoch': 10.09} + 72%|███████▏ | 7700/10682 [1:11:07<24:30, 2.03it/s] 72%|███████▏ | 7701/10682 [1:11:07<24:31, 2.03it/s] 72%|███████▏ | 7702/10682 [1:11:07<24:30, 2.03it/s] 72%|███████▏ | 7703/10682 [1:11:08<24:29, 2.03it/s] 72%|███████▏ | 7704/10682 [1:11:08<24:28, 2.03it/s] 72%|███████▏ | 7705/10682 [1:11:09<24:27, 2.03it/s] 72%|███████▏ | 7706/10682 [1:11:09<24:30, 2.02it/s] 72%|███████▏ | 7707/10682 [1:11:10<24:27, 2.03it/s] 72%|███████▏ | 7708/10682 [1:11:10<24:26, 2.03it/s] 72%|███████▏ | 7709/10682 [1:11:11<24:26, 2.03it/s] 72%|███████▏ | 7710/10682 [1:11:11<24:27, 2.03it/s] 72%|███████▏ | 7711/10682 [1:11:12<24:25, 2.03it/s] 72%|███████▏ | 7712/10682 [1:11:12<24:23, 2.03it/s] 72%|███████▏ | 7713/10682 [1:11:13<24:23, 2.03it/s] 72%|███████▏ | 7714/10682 [1:11:13<24:22, 2.03it/s] 72%|███████▏ | 7715/10682 [1:11:14<24:24, 2.03it/s] 72%|███████▏ | 7716/10682 [1:11:14<24:22, 2.03it/s] 72%|███████▏ | 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