diff --git "a/train_job_output.txt" "b/train_job_output.txt" --- "a/train_job_output.txt" +++ "b/train_job_output.txt" @@ -568,4 +568,99 @@ command outputs: 78%|███████▊ | 8650/11074 [1:13:44<19:59, 2.02it/s] 78%|███████▊ | 8651/11074 [1:13:45<19:59, 2.02it/s] 78%|███████▊ | 8652/11074 [1:13:45<19:59, 2.02it/s] 78%|███████▊ | 8653/11074 [1:13:46<19:57, 2.02it/s] 78%|███████▊ | 8654/11074 [1:13:46<19:56, 2.02it/s] 78%|███████▊ | 8655/11074 [1:13:47<19:55, 2.02it/s] 78%|███████▊ | 8656/11074 [1:13:47<19:56, 2.02it/s] 78%|███████▊ | 8657/11074 [1:13:48<19:55, 2.02it/s] 78%|███████▊ | 8658/11074 [1:13:48<19:56, 2.02it/s] 78%|███████▊ | 8659/11074 [1:13:49<19:54, 2.02it/s] 78%|███████▊ | 8660/11074 [1:13:49<19:55, 2.02it/s] 78%|███████▊ | 8661/11074 [1:13:49<19:53, 2.02it/s] 78%|███████▊ | 8662/11074 [1:13:50<19:52, 2.02it/s] 78%|███████▊ | 8663/11074 [1:13:50<19:52, 2.02it/s] 78%|███████▊ | 8664/11074 [1:13:51<19:50, 2.02it/s] 78%|███████▊ | 8665/11074 [1:13:51<19:51, 2.02it/s] 78%|███████▊ | 8666/11074 [1:13:52<19:51, 2.02it/s] 78%|███████▊ | 8667/11074 [1:13:52<19:50, 2.02it/s] 78%|███████▊ | 8668/11074 [1:13:53<19:48, 2.02it/s] 78%|███████▊ | 8669/11074 [1:13:53<19:49, 2.02it/s] 78%|███████▊ | 8670/11074 [1:13:54<19:48, 2.02it/s] 78%|███████▊ | 8671/11074 [1:13:54<19:48, 2.02it/s] 78%|███████▊ | 8672/11074 [1:13:55<19:48, 2.02it/s] 78%|███████▊ | 8673/11074 [1:13:55<19:47, 2.02it/s] 78%|███████▊ | 8674/11074 [1:13:56<19:47, 2.02it/s] 78%|███████▊ | 8675/11074 [1:13:56<19:46, 2.02it/s] {'loss': 3.2442, 'grad_norm': 0.23779277503490448, 'learning_rate': 0.00013628914403109144, 'epoch': 10.96} 78%|███████▊ | 8675/11074 [1:13:56<19:46, 2.02it/s] 78%|███████▊ | 8676/11074 [1:13:57<19:46, 2.02it/s] 78%|███████▊ | 8677/11074 [1:13:57<19:45, 2.02it/s] 78%|███████▊ | 8678/11074 [1:13:58<19:45, 2.02it/s] 78%|███████▊ | 8679/11074 [1:13:58<19:43, 2.02it/s] 78%|███████▊ | 8680/11074 [1:13:59<19:44, 2.02it/s] 78%|███████▊ | 8681/11074 [1:13:59<19:43, 2.02it/s] 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3.2503, 'grad_norm': 0.24186570942401886, 'learning_rate': 0.000133596608763568, 'epoch': 10.99} 79%|███████▊ | 8700/11074 [1:14:09<19:33, 2.02it/s] 79%|███████▊ | 8701/11074 [1:14:09<19:34, 2.02it/s] 79%|███████▊ | 8702/11074 [1:14:10<19:34, 2.02it/s] 79%|███████▊ | 8703/11074 [1:14:10<19:33, 2.02it/s] 79%|███████▊ | 8704/11074 [1:14:11<19:33, 2.02it/s] 79%|███████▊ | 8705/11074 [1:14:11<19:31, 2.02it/s] 79%|███████▊ | 8706/11074 [1:14:12<20:00, 1.97it/s] 79%|███████▊ | 8707/11074 [1:14:24<2:38:17, 4.01s/it] 79%|███████▊ | 8708/11074 [1:14:24<1:56:41, 2.96s/it] 79%|███████▊ | 8709/11074 [1:14:25<1:27:30, 2.22s/it] 79%|███████▊ | 8710/11074 [1:14:25<1:07:12, 1.71s/it] 79%|███████▊ | 8711/11074 [1:14:26<52:50, 1.34s/it] 79%|███████▊ | 8712/11074 [1:14:26<42:50, 1.09s/it] 79%|███████▊ | 8713/11074 [1:14:27<35:46, 1.10it/s] 79%|███████▊ | 8714/11074 [1:14:27<30:52, 1.27it/s] 79%|███████▊ | 8715/11074 [1:14:28<27:25, 1.43it/s] 79%|███████▊ | 8716/11074 [1:14:28<25:00, 1.57it/s] 79%|███████▊ | 8717/11074 [1:14:29<23:20, 1.68it/s] 79%|███████▊ | 8718/11074 [1:14:29<22:07, 1.77it/s] 79%|███████▊ | 8719/11074 [1:14:30<21:26, 1.83it/s] 79%|███████▊ | 8720/11074 [1:14:30<20:52, 1.88it/s] 79%|███████▉ | 8721/11074 [1:14:31<20:27, 1.92it/s] 79%|███████▉ | 8722/11074 [1:14:31<20:06, 1.95it/s] 79%|███████▉ | 8723/11074 [1:14:32<19:52, 1.97it/s] 79%|███████▉ | 8724/11074 [1:14:32<19:42, 1.99it/s] 79%|███████▉ | 8725/11074 [1:14:33<19:37, 2.00it/s] {'loss': 3.1825, 'grad_norm': 0.2393781691789627, 'learning_rate': 0.0001309268294598309, 'epoch': 11.02} - 79%|███████▉ | 8725/11074 [1:14:33<19:37, 2.00it/s] 79%|███████▉ | 8726/11074 [1:14:33<19:32, 2.00it/s] 79%|███████▉ | 8727/11074 [1:14:34<19:28, 2.01it/s] 79%|███████▉ | 8728/11074 [1:14:34<19:27, 2.01it/s] 79%|███████▉ | 8729/11074 [1:14:35<19:24, 2.01it/s] 79%|███████▉ | 8730/11074 [1:14:35<19:22, 2.02it/s] 79%|███████▉ | 8731/11074 [1:14:36<19:23, 2.01it/s] 79%|███████▉ | 8732/11074 [1:14:36<19:22, 2.01it/s] 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[1:14:39<19:14, 2.02it/s] 79%|███████▉ | 8739/11074 [1:14:40<19:13, 2.03it/s] 79%|███████▉ | 8740/11074 [1:14:40<19:12, 2.03it/s] 79%|███████▉ | 8741/11074 [1:14:41<19:12, 2.02it/s] 79%|███████▉ | 8742/11074 [1:14:41<19:11, 2.03it/s] 79%|███████▉ | 8743/11074 [1:14:42<19:10, 2.03it/s] 79%|███████▉ | 8744/11074 [1:14:42<19:10, 2.02it/s] 79%|███████▉ | 8745/11074 [1:14:43<19:10, 2.02it/s] 79%|███████▉ | 8746/11074 [1:14:43<19:10, 2.02it/s] 79%|███████▉ | 8747/11074 [1:14:44<19:08, 2.03it/s] 79%|███████▉ | 8748/11074 [1:14:44<19:08, 2.02it/s] 79%|███████▉ | 8749/11074 [1:14:45<19:07, 2.03it/s] 79%|███████▉ | 8750/11074 [1:14:45<19:07, 2.03it/s] {'loss': 3.1575, 'grad_norm': 0.23903685808181763, 'learning_rate': 0.00012827997193002967, 'epoch': 11.05} + 79%|███████▉ | 8750/11074 [1:14:45<19:07, 2.03it/s] 79%|███████▉ | 8751/11074 [1:14:46<19:07, 2.02it/s] 79%|███████▉ | 8752/11074 [1:14:46<19:07, 2.02it/s] 79%|███████▉ | 8753/11074 [1:14:47<19:07, 2.02it/s] 79%|███████▉ | 8754/11074 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[1:15:05<18:49, 2.02it/s] 79%|███████▉ | 8790/11074 [1:15:05<18:47, 2.02it/s] 79%|███████▉ | 8791/11074 [1:15:06<18:48, 2.02it/s] 79%|███████▉ | 8792/11074 [1:15:06<18:47, 2.02it/s] 79%|███████▉ | 8793/11074 [1:15:07<18:46, 2.02it/s] 79%|███████▉ | 8794/11074 [1:15:07<18:45, 2.03it/s] 79%|███████▉ | 8795/11074 [1:15:08<18:45, 2.02it/s] 79%|███████▉ | 8796/11074 [1:15:08<18:44, 2.03it/s] 79%|███████▉ | 8797/11074 [1:15:09<18:43, 2.03it/s] 79%|███████▉ | 8798/11074 [1:15:09<18:44, 2.02it/s] 79%|███████▉ | 8799/11074 [1:15:09<18:42, 2.03it/s] 79%|███████▉ | 8800/11074 [1:15:10<18:42, 2.03it/s] {'loss': 3.1775, 'grad_norm': 0.2367831915616989, 'learning_rate': 0.00012305567830469017, 'epoch': 11.12} + 79%|███████▉ | 8800/11074 [1:15:10<18:42, 2.03it/s] 79%|███████▉ | 8801/11074 [1:15:10<18:49, 2.01it/s] 79%|███████▉ | 8802/11074 [1:15:11<18:45, 2.02it/s] 79%|███████▉ | 8803/11074 [1:15:11<18:46, 2.02it/s] 80%|███████▉ | 8804/11074 [1:15:12<18:43, 2.02it/s] 80%|███████▉ | 8805/11074 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