diff --git "a/train_job_output.txt" "b/train_job_output.txt" --- "a/train_job_output.txt" +++ "b/train_job_output.txt" @@ -391,4 +391,65 @@ Retrying in 1s [Retry 1/5]. 71%|███████ | 7575/10682 [1:04:22<25:35, 2.02it/s] 71%|███████ | 7576/10682 [1:04:23<25:37, 2.02it/s] 71%|███████ | 7577/10682 [1:04:23<25:35, 2.02it/s] 71%|███████ | 7578/10682 [1:04:24<25:35, 2.02it/s] 71%|███████ | 7579/10682 [1:04:24<25:34, 2.02it/s] 71%|███████ | 7580/10682 [1:04:25<25:34, 2.02it/s] 71%|███████ | 7581/10682 [1:04:25<25:32, 2.02it/s] 71%|███████ | 7582/10682 [1:04:26<25:31, 2.02it/s] 71%|███████ | 7583/10682 [1:04:26<25:31, 2.02it/s] 71%|███████ | 7584/10682 [1:04:27<25:30, 2.02it/s] 71%|███████ | 7585/10682 [1:04:27<25:30, 2.02it/s] 71%|███████ | 7586/10682 [1:04:28<25:29, 2.02it/s] 71%|███████ | 7587/10682 [1:04:28<25:31, 2.02it/s] 71%|███████ | 7588/10682 [1:04:29<25:28, 2.02it/s] 71%|███████ | 7589/10682 [1:04:29<25:29, 2.02it/s] 71%|███████ | 7590/10682 [1:04:30<25:27, 2.02it/s] 71%|███████ | 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'learning_rate': 0.00022944844326774121, 'epoch': 9.99} 71%|███████▏ | 7625/10682 [1:04:47<25:08, 2.03it/s] 71%|███████▏ | 7626/10682 [1:04:48<25:09, 2.02it/s] 71%|███████▏ | 7627/10682 [1:04:48<25:09, 2.02it/s] 71%|███████▏ | 7628/10682 [1:04:49<25:09, 2.02it/s] 71%|███████▏ | 7629/10682 [1:04:49<25:07, 2.02it/s] 71%|███████▏ | 7630/10682 [1:04:50<25:08, 2.02it/s] 71%|███████▏ | 7631/10682 [1:04:50<25:07, 2.02it/s] 71%|███████▏ | 7632/10682 [1:04:51<25:07, 2.02it/s] 71%|███████▏ | 7633/10682 [1:04:51<25:05, 2.02it/s] 71%|███████▏ | 7634/10682 [1:04:52<25:05, 2.02it/s] 71%|███████▏ | 7635/10682 [1:04:52<24:48, 2.05it/s] 71%|███████▏ | 7636/10682 [1:05:04<3:21:36, 3.97s/it] 71%|███████▏ | 7637/10682 [1:05:05<2:28:36, 2.93s/it] 72%|███████▏ | 7638/10682 [1:05:05<1:51:28, 2.20s/it] 72%|███████▏ | 7639/10682 [1:05:06<1:25:31, 1.69s/it] 72%|███████▏ | 7640/10682 [1:05:06<1:07:26, 1.33s/it] 72%|███████▏ | 7641/10682 [1:05:07<54:50, 1.08s/it] 72%|███████▏ | 7642/10682 [1:05:07<45:52, 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[1:08:41<21:30, 2.02it/s] {'loss': 2.852, 'grad_norm': 0.27252912521362305, 'learning_rate': 0.00017075473199874692, 'epoch': 10.58} + 76%|███████▌ | 8075/10682 [1:08:41<21:30, 2.02it/s] 76%|███████▌ | 8076/10682 [1:08:42<21:32, 2.02it/s] 76%|███████▌ | 8077/10682 [1:08:42<21:31, 2.02it/s] 76%|███████▌ | 8078/10682 [1:08:43<21:30, 2.02it/s] 76%|███████▌ | 8079/10682 [1:08:43<21:29, 2.02it/s] 76%|███████▌ | 8080/10682 [1:08:44<21:27, 2.02it/s] 76%|███████▌ | 8081/10682 [1:08:44<21:26, 2.02it/s] 76%|███████▌ | 8082/10682 [1:08:45<21:25, 2.02it/s] 76%|███████▌ | 8083/10682 [1:08:45<21:24, 2.02it/s] 76%|███████▌ | 8084/10682 [1:08:46<21:24, 2.02it/s] 76%|███████▌ | 8085/10682 [1:08:46<21:24, 2.02it/s] 76%|███████▌ | 8086/10682 [1:08:47<21:23, 2.02it/s] 76%|███████▌ | 8087/10682 [1:08:47<21:23, 2.02it/s] 76%|███████▌ | 8088/10682 [1:08:48<21:22, 2.02it/s] 76%|███████▌ | 8089/10682 [1:08:48<21:22, 2.02it/s] 76%|███████▌ | 8090/10682 [1:08:49<21:21, 2.02it/s] 76%|███████▌ | 8091/10682 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[1:12:48<17:35, 2.02it/s] {'loss': 2.7808, 'grad_norm': 0.2801077663898468, 'learning_rate': 0.0001165346678316832, 'epoch': 11.2} + 80%|████████ | 8550/10682 [1:12:48<17:35, 2.02it/s] 80%|████████ | 8551/10682 [1:12:49<17:35, 2.02it/s] 80%|████████ | 8552/10682 [1:12:49<17:34, 2.02it/s] 80%|████████ | 8553/10682 [1:12:50<17:34, 2.02it/s] 80%|████████ | 8554/10682 [1:12:50<17:34, 2.02it/s] 80%|████████ | 8555/10682 [1:12:51<17:33, 2.02it/s] 80%|████████ | 8556/10682 [1:12:51<17:34, 2.02it/s] 80%|████████ | 8557/10682 [1:12:52<17:33, 2.02it/s] 80%|████████ | 8558/10682 [1:12:52<17:33, 2.02it/s] 80%|████████ | 8559/10682 [1:12:53<17:33, 2.02it/s] 80%|████████ | 8560/10682 [1:12:53<17:32, 2.02it/s] 80%|████████ | 8561/10682 [1:12:54<17:32, 2.02it/s] 80%|████████ | 8562/10682 [1:12:54<17:31, 2.02it/s] 80%|████████ | 8563/10682 [1:12:55<17:30, 2.02it/s] 80%|████████ | 8564/10682 [1:12:55<17:30, 2.02it/s] 80%|████████ | 8565/10682 [1:12:56<17:29, 2.02it/s] 80%|████████ | 8566/10682 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