Training scripts
This folder gathers training scripts for the different arch/scaling and engineering experiments. The naming convention is tr<number>-<short-description>
. The current baseline that architecture and scaling experiments compare to is tr3d. In order to launch a new experiment, you should probably start from the arch-and-scaling template.
Some tips:
- TFlops optimization: How to make sure that given a set of hardware you optimize the speed at which you train.
- Instrumentation: How to sync with the hub
Stored checkpoints
Location of the checkpoints of the trained models plus logs and anything else of importance - e.g. eval harness results:
tr1-13B:
gs://bigscience-backups/tr1-13B/
tr3m-1B3-emb-norm-pile:
$six_ALL_CCFRSTORE/checkpoints/tr3m-1B3-emb-norm-pile
tr4-1B3-rotary: `$six_ALL_CCFRSTORE/checkpoints/
tr4b-350M-rotary: `$six_ALL_CCFRSTORE/checkpoints/
tr4c-1B3-rotary-oscar:
$six_ALL_CCFRSTORE/checkpoints/tr4c-1B3-rotary-oscar
tr6-1B3-prefix-lm:
$six_ALL_CCFRSTORE/checkpoints/tr6-1B3-prefix-lm
tr6-1B3-prefix-lm-unbiased-loss:
$six_ALL_CCFRSTORE/checkpoints/tr6-1B3-prefix-lm-unbiased-loss
tr6b-350M-prefix-lm:
$six_ALL_CCFRSTORE/checkpoints/tr6b-350M-prefix-lm
tr6b-350M-prefix-lm-PP2:
$six_ALL_CCFRSTORE/checkpoints/tr6b-350M-prefix-lm-PP2
tr6b-350M-prefix-lm-unbiased-loss:
$six_ALL_CCFRSTORE/checkpoints/tr6b-350M-prefix-lm-unbiased-loss
tr6c-350M-prefix-lm-reset-attention-mask:
$six_ALL_CCFRSTORE/checkpoints/tr6c-350M-prefix-lm-reset-attention-mask
tr6c-350M-prefix-lm-reset-attention-mask.backup:
$six_ALL_CCFRSTORE/checkpoints/tr6c-350M-prefix-lm-reset-attention-mask.backup
tr6d-350M-prefix-lm-pile:
$six_ALL_CCFRSTORE/checkpoints/tr6d-350M-prefix-lm-pile
tr6e-1B3-pile:
$six_ALL_CCFRSTORE/checkpoints/tr6e-1B3-pile
tr6f-1B3-oscar-no-loss-on-targets-only:
$six_ALL_CCFRSTORE/checkpoints/tr6f-1B3-oscar-no-loss-on-targets-only
tr6g-1B3-oscar-loss-reweighting:
$six_ALL_CCFRSTORE/checkpoints/tr6g-1B3-oscar-loss-reweighting
tr7a-1B3-alibi (not a real alibi pos embedding experiment - the alibi matrix were not used in this experiment):
$six_ALL_CCFRSTORE/checkpoints/tr7a-1B3-alibi
tr7b-350-alibi (not a real alibi pos embedding experiment - the alibi matrix were not used in this experiment):
$six_ALL_CCFRSTORE/checkpoints/tr7b-350M-alibi
tr7d-1B3-alibi:
six_ALL_CCFRSTORE/checkpoints/tr7d-1B3-alibi
tr9b-350M-swiglu:
six_ALL_CCFRSTORE/checkpoints/tr9b-350M-swiglu
tr9c-1B3-swiglu-pile:
six_ALL_CCFRSTORE/checkpoints/tr9b-1B3-swiglu-pile