| 2024-02-26 16:36:10 - Use pytorch device_name: cuda | |
| 2024-02-26 16:36:10 - pre-trained model pretraining_mlm_2023-12-21_16-08-17 loaded | |
| 2024-02-26 16:37:17 - training data loaded | |
| 2024-02-26 16:37:45 - training data created | |
| 2024-02-26 22:46:33 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\12500 | |
| 2024-02-27 04:47:23 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\25000 | |
| 2024-02-27 10:49:28 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\37500 | |
| 2024-02-27 16:57:21 - TripletEvaluator: Evaluating the model on dataset in epoch 0 after 50000 steps: | |
| 2024-02-27 17:21:08 - Accuracy Cosine Distance: 99.91 | |
| 2024-02-27 17:21:08 - Accuracy Manhattan Distance: 99.74 | |
| 2024-02-27 17:21:08 - Accuracy Euclidean Distance: 99.73 | |
| 2024-02-27 17:21:08 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07 | |
| 2024-02-27 17:21:08 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\50000 | |
| 2024-02-27 23:23:05 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\62500 | |
| 2024-02-28 05:24:40 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\75000 | |
| 2024-02-28 11:27:20 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\87500 | |
| 2024-02-28 17:32:30 - TripletEvaluator: Evaluating the model on dataset in epoch 0 after 100000 steps: | |
| 2024-02-28 17:56:17 - Accuracy Cosine Distance: 99.94 | |
| 2024-02-28 17:56:17 - Accuracy Manhattan Distance: 99.73 | |
| 2024-02-28 17:56:17 - Accuracy Euclidean Distance: 99.73 | |
| 2024-02-28 17:56:17 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07 | |
| 2024-02-28 17:56:17 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\100000 | |
| 2024-02-29 00:01:50 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\112500 | |
| 2024-02-29 06:01:15 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\125000 | |
| 2024-02-29 11:15:31 - TripletEvaluator: Evaluating the model on dataset after epoch 0: | |
| 2024-02-29 11:39:17 - Accuracy Cosine Distance: 99.95 | |
| 2024-02-29 11:39:17 - Accuracy Manhattan Distance: 99.73 | |
| 2024-02-29 11:39:17 - Accuracy Euclidean Distance: 99.73 | |
| 2024-02-29 11:39:17 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07 | |
| 2024-02-29 12:29:00 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\137500 | |
| 2024-02-29 18:36:19 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\150000 | |
| 2024-03-01 00:43:43 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\162500 | |
| 2024-03-01 06:49:44 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\175000 | |
| 2024-03-01 12:08:03 - TripletEvaluator: Evaluating the model on dataset in epoch 1 after 50000 steps: | |
| 2024-03-01 12:32:07 - Accuracy Cosine Distance: 99.95 | |
| 2024-03-01 12:32:07 - Accuracy Manhattan Distance: 99.72 | |
| 2024-03-01 12:32:07 - Accuracy Euclidean Distance: 99.72 | |
| 2024-03-01 13:22:06 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\187500 | |
| 2024-03-01 19:30:56 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\200000 | |
| 2024-03-02 01:35:02 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\212500 | |
| 2024-03-02 07:45:50 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\225000 | |
| 2024-03-02 13:07:45 - TripletEvaluator: Evaluating the model on dataset in epoch 1 after 100000 steps: | |
| 2024-03-02 13:31:54 - Accuracy Cosine Distance: 99.96 | |
| 2024-03-02 13:31:54 - Accuracy Manhattan Distance: 99.77 | |
| 2024-03-02 13:31:54 - Accuracy Euclidean Distance: 99.77 | |
| 2024-03-02 13:31:54 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07 | |
| 2024-03-02 14:22:33 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\237500 | |
| 2024-03-02 20:36:33 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\250000 | |
| 2024-03-03 02:45:58 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\262500 | |
| 2024-03-03 07:13:19 - TripletEvaluator: Evaluating the model on dataset after epoch 1: | |
| 2024-03-03 07:37:08 - Accuracy Cosine Distance: 99.95 | |
| 2024-03-03 07:37:08 - Accuracy Manhattan Distance: 99.76 | |
| 2024-03-03 07:37:08 - Accuracy Euclidean Distance: 99.77 | |
| 2024-03-03 09:16:01 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\275000 | |
| 2024-03-03 15:19:38 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\287500 | |
| 2024-03-03 21:25:03 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\300000 | |
| 2024-03-04 03:28:10 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\312500 | |
| 2024-03-04 07:51:18 - TripletEvaluator: Evaluating the model on dataset in epoch 2 after 50000 steps: | |
| 2024-03-04 08:16:03 - Accuracy Cosine Distance: 99.96 | |
| 2024-03-04 08:16:03 - Accuracy Manhattan Distance: 99.75 | |
| 2024-03-04 08:16:03 - Accuracy Euclidean Distance: 99.75 | |
| 2024-03-04 09:54:29 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\325000 | |
| 2024-03-04 16:04:15 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\337500 | |
| 2024-03-04 22:13:17 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\350000 | |
| 2024-03-05 04:17:18 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\362500 | |
| 2024-03-05 08:40:03 - TripletEvaluator: Evaluating the model on dataset in epoch 2 after 100000 steps: | |
| 2024-03-05 09:04:27 - Accuracy Cosine Distance: 99.96 | |
| 2024-03-05 09:04:27 - Accuracy Manhattan Distance: 99.73 | |
| 2024-03-05 09:04:27 - Accuracy Euclidean Distance: 99.73 | |
| 2024-03-05 10:43:30 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\375000 | |
| 2024-03-05 16:59:23 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\387500 | |
| 2024-03-05 23:08:35 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\400000 | |
| 2024-03-06 02:47:51 - TripletEvaluator: Evaluating the model on dataset after epoch 2: | |
| 2024-03-06 03:12:19 - Accuracy Cosine Distance: 99.95 | |
| 2024-03-06 03:12:19 - Accuracy Manhattan Distance: 99.74 | |
| 2024-03-06 03:12:19 - Accuracy Euclidean Distance: 99.74 | |
| 2024-03-06 03:12:19 - Save model to output/aarch64_ft_pretraining_mlm_2023-12-21_16-08-17-2024-02-26_16-36-07\407409 | |