Step... (3000/50000 | Loss: 1.7852987051010132, Acc: 0.6470173597335815): 8%|██▎ | 3951/50000 [1:30:17<16:22:03, 1.28s/it]
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- outputs/checkpoints/checkpoint-2000/data_collator.joblib +3 -0
- outputs/checkpoints/checkpoint-2000/flax_model.msgpack +3 -0
- outputs/checkpoints/checkpoint-2000/optimizer_state.msgpack +3 -0
- outputs/checkpoints/checkpoint-2000/training_args.joblib +3 -0
- outputs/checkpoints/checkpoint-2000/training_state.json +1 -0
- outputs/checkpoints/checkpoint-3000/config.json +25 -0
- outputs/checkpoints/checkpoint-3000/data_collator.joblib +3 -0
- outputs/checkpoints/checkpoint-3000/flax_model.msgpack +3 -0
- outputs/checkpoints/checkpoint-3000/optimizer_state.msgpack +3 -0
- outputs/checkpoints/checkpoint-3000/training_args.joblib +3 -0
- outputs/checkpoints/checkpoint-3000/training_state.json +1 -0
- outputs/events.out.tfevents.1627258355.tablespoon.3000110.3.v2 +2 -2
- outputs/flax_model.msgpack +1 -1
- outputs/optimizer_state.msgpack +1 -1
- outputs/training_state.json +1 -1
- pytorch_model.bin +1 -1
- run_stream.512.log +0 -0
- wandb/run-20210726_001233-17u6inbn/files/output.log +1745 -0
- wandb/run-20210726_001233-17u6inbn/files/wandb-summary.json +1 -1
- wandb/run-20210726_001233-17u6inbn/logs/debug-internal.log +0 -0
- wandb/run-20210726_001233-17u6inbn/run-17u6inbn.wandb +0 -0
flax_model.msgpack
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outputs/checkpoints/checkpoint-3000/config.json
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outputs/checkpoints/checkpoint-3000/data_collator.joblib
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CHANGED
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804 |
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805 |
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806 |
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801 |
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802 |
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803 |
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804 |
+
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805 |
+
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806 |
+
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807 |
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808 |
+
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809 |
+
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810 |
+
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811 |
+
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812 |
+
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813 |
+
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814 |
+
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815 |
+
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816 |
+
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817 |
+
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818 |
+
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819 |
+
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820 |
+
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821 |
+
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822 |
+
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823 |
+
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824 |
+
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825 |
+
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826 |
+
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827 |
+
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828 |
+
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829 |
+
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830 |
+
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831 |
+
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832 |
+
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833 |
+
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834 |
+
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835 |
+
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836 |
+
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837 |
+
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838 |
+
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839 |
+
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840 |
+
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841 |
+
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842 |
+
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843 |
+
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844 |
+
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845 |
+
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846 |
+
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847 |
+
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848 |
+
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849 |
+
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850 |
+
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851 |
+
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852 |
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853 |
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854 |
+
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855 |
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856 |
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857 |
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858 |
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859 |
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860 |
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861 |
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862 |
+
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863 |
+
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864 |
+
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865 |
+
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866 |
+
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867 |
+
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868 |
+
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869 |
+
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870 |
+
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871 |
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872 |
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873 |
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874 |
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875 |
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876 |
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877 |
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878 |
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879 |
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880 |
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881 |
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882 |
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883 |
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884 |
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885 |
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886 |
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887 |
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888 |
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889 |
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890 |
+
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891 |
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892 |
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893 |
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894 |
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895 |
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896 |
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898 |
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899 |
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900 |
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901 |
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902 |
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903 |
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904 |
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905 |
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906 |
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907 |
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908 |
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909 |
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910 |
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911 |
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912 |
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913 |
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914 |
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915 |
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916 |
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917 |
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918 |
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919 |
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920 |
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921 |
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922 |
+
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923 |
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924 |
+
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925 |
+
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926 |
+
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927 |
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Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 4%|█▏ | 2000/50000 [45:36<16:04:15, 1.21s/it]
|
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Step... (1500 | Loss: 1.8557080030441284, Learning Rate: 0.0005878788069821894)
|
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Step... (1000/50000 | Loss: 1.7686773538589478, Acc: 0.6487793326377869): 4%|█▏ | 2000/50000 [45:38<16:04:15, 1.21s/it]
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[02:54:02] - INFO - __main__ - Saving checkpoint at 2000 steps██████████████████████████████████████████████████████| 130/130 [00:21<00:00, 4.59it/s]
|
1306 |
+
All Flax model weights were used when initializing RobertaForMaskedLM.
|
1307 |
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Some weights of RobertaForMaskedLM were not initialized from the Flax model and are newly initialized: ['lm_head.decoder.weight', 'roberta.embeddings.position_ids', 'lm_head.decoder.bias']
|
1308 |
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You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
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Step... (2000/50000 | Loss: 1.778090238571167, Acc: 0.6472830772399902): 6%|█▊ | 3000/50000 [1:08:36<16:30:25, 1.26s/it]
|
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Evaluating ...: 5%|████▍ | 6/130 [00:00<00:07, 16.24it/s]
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Step... (2500 | Loss: 1.9601893424987793, Learning Rate: 0.000575757585465908)
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[03:16:59] - INFO - __main__ - Saving checkpoint at 3000 steps██████████████████████████████████████████████████████| 130/130 [00:21<00:00, 4.60it/s]
|
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All Flax model weights were used when initializing RobertaForMaskedLM.
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Some weights of RobertaForMaskedLM were not initialized from the Flax model and are newly initialized: ['lm_head.decoder.weight', 'roberta.embeddings.position_ids', 'lm_head.decoder.bias']
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You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
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wandb/run-20210726_001233-17u6inbn/files/wandb-summary.json
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{"global_step": 3500, "_timestamp": 1627270091.975085, "train_time": 67569.375, "train_learning_rate": 0.0005636363639496267, "_step": 6979, "train_loss": 1.7941066026687622, "eval_accuracy": 0.6470173597335815, "eval_loss": 1.7852987051010132}
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wandb/run-20210726_001233-17u6inbn/logs/debug-internal.log
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wandb/run-20210726_001233-17u6inbn/run-17u6inbn.wandb
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