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Refactor lm_head losses Documentation #1815: Pull request #425 synchronize by oleksost
4m 12s train_only_layer_losses
train_only_layer_losses
4m 12s
Refactor lm_head losses Documentation #1814: Pull request #425 synchronize by oleksost
4m 4s train_only_layer_losses
train_only_layer_losses
4m 4s
Reverse KL: more efficient implementation + normalisation by sequence… Documentation #1813: Commit 44b14ac pushed by oleksost
6m 51s main
main
6m 51s
Refactor lm_head losses Documentation #1812: Pull request #425 synchronize by oleksost
6m 6s train_only_layer_losses
train_only_layer_losses
6m 6s
Refactor lm_head losses Documentation #1811: Pull request #425 synchronize by oleksost
3m 39s train_only_layer_losses
train_only_layer_losses
3m 39s
Refactor lm_head losses Documentation #1810: Pull request #425 synchronize by oleksost
3m 53s train_only_layer_losses
train_only_layer_losses
3m 53s
Reverse KL: more efficient implementation + normalisation by sequence length Documentation #1809: Pull request #430 synchronize by oleksost
3m 54s rev_kl_improvements
rev_kl_improvements
3m 54s
Fix for layer distillation with sequence parallel training (#431) Documentation #1808: Commit c8a73df pushed by oleksost
6m 35s main
main
6m 35s
Fix for layer distillation with sequence parallel training Documentation #1807: Pull request #431 synchronize by oleksost
4m 16s sp_layer_distillation
sp_layer_distillation
4m 16s
Reverse KL: more efficient implementation + normalisation by sequence length Documentation #1806: Pull request #430 synchronize by oleksost
4m 8s rev_kl_improvements
rev_kl_improvements
4m 8s
Refactor lm_head losses Documentation #1805: Pull request #425 synchronize by oleksost
4m 49s train_only_layer_losses
train_only_layer_losses
4m 49s
Reverse KL: more efficient implementation + normalisation by sequence length Documentation #1804: Pull request #430 synchronize by oleksost
5m 38s rev_kl_improvements
rev_kl_improvements
5m 38s
Refactor lm_head losses Documentation #1803: Pull request #425 synchronize by oleksost
3m 49s train_only_layer_losses
train_only_layer_losses
3m 49s
dataset blending tool Documentation #1802: Pull request #433 synchronize by RaymondLi0
3m 49s raymond/dataset_tool
raymond/dataset_tool
3m 49s
dataset blending tool Documentation #1801: Pull request #433 opened by RaymondLi0
4m 27s raymond/dataset_tool
raymond/dataset_tool
4m 27s
[Prototype] Simplified PipelineRL Documentation #1800: Pull request #428 synchronize by jlamypoirier
4m 4s jlp_pipeline_rl
jlp_pipeline_rl
4m 4s
[Prototype] Integration with PipelineRL: streaming dataset and trainer events with weight broadcasting Documentation #1799: Pull request #389 synchronize by jlamypoirier
2m 39s denis/new_datasets
denis/new_datasets
2m 39s
Add support for gloo (#424) Documentation #1798: Commit d278945 pushed by jlamypoirier
6m 56s main
main
6m 56s
Reverse KL: more efficient implementation + normalisation by sequence length Documentation #1797: Pull request #430 synchronize by oleksost
5m 12s rev_kl_improvements
rev_kl_improvements
5m 12s
Refactor lm_head losses Documentation #1796: Pull request #425 synchronize by oleksost
3m 46s train_only_layer_losses
train_only_layer_losses
3m 46s
Refactor lm_head losses Documentation #1795: Pull request #425 synchronize by oleksost
4m 17s train_only_layer_losses
train_only_layer_losses
4m 17s
Add support for gloo Documentation #1794: Pull request #424 synchronize by jlamypoirier
6m 44s jlp_gloo
jlp_gloo
6m 44s
Add metadata to dataset config files (#420) Documentation #1793: Commit 55c6d0e pushed by jlamypoirier
9m 48s main
main
9m 48s
Add metadata to dataset config files Documentation #1792: Pull request #420 synchronize by jlamypoirier
6m 36s jlp_dataset_metadata
jlp_dataset_metadata
6m 36s
[Prototype] Simplified PipelineRL Documentation #1791: Pull request #428 synchronize by jlamypoirier
3m 41s jlp_pipeline_rl
jlp_pipeline_rl
3m 41s