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update readme
Browse files- README.md +0 -2
- events.out.tfevents.1626474829.t1v-n-f5c06ea1-w-0.798495.3.v2 +2 -2
- wandb/run-20210716_223350-8eukt20m/files/output.log +27 -0
- wandb/run-20210716_223350-8eukt20m/files/wandb-summary.json +1 -1
- wandb/run-20210716_223350-8eukt20m/logs/debug-internal.log +53 -0
- wandb/run-20210716_223350-8eukt20m/run-8eukt20m.wandb +0 -0
README.md
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@@ -11,8 +11,6 @@ Created by [Dat Nguyen](https://www.linkedin.com/in/dat-nguyen-49a641138/) & Yeb
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Please do not hesitate to contact me via [LinkedIn](https://www.linkedin.com/in/henryk-borzymowski-0755a2167/=
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BigBird, is a sparse-attention based transformer which extends Transformer based models, such as BERT to much longer sequences. Moreover, BigBird comes along with a theoretical understanding of the capabilities of a complete transformer that the sparse model can handle.
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BigBird, is a sparse-attention based transformer which extends Transformer based models, such as BERT to much longer sequences. Moreover, BigBird comes along with a theoretical understanding of the capabilities of a complete transformer that the sparse model can handle.
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events.out.tfevents.1626474829.t1v-n-f5c06ea1-w-0.798495.3.v2
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wandb/run-20210716_223350-8eukt20m/files/output.log
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Training...: 14200it [1:41:16, 3.23s/it]βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 500/500 [01:17<00:00, 7.90it/s]
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Training...: 14249it [1:41:26, 5.51it/s]βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 500/500 [01:17<00:00, 7.90it/s]
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Training...: 14300it [1:41:56, 3.34s/it]βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 500/500 [01:17<00:00, 7.90it/s]
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Training...: 14349it [1:42:06, 5.17it/s]βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 500/500 [01:17<00:00, 7.90it/s]
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wandb/run-20210716_223350-8eukt20m/files/wandb-summary.json
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{"training_step": 344350, "learning_rate": 2.2840797100798227e-05, "train_loss": 1.849149465560913, "_runtime": 6489, "_timestamp": 1626481319, "_step": 287, "eval_step": 340000, "eval_accuracy": 0.6408576965332031, "eval_loss": 1.8213207721710205}
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