| ## 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](https://github.com/bigscience-workshop/bigscience/blob/master/train/tr3-1B3-baseline/tr3d-1B3-more-warmup.slurm). In order to launch a new experiment, you should probably start from the [arch-and-scaling template](https://github.com/bigscience-workshop/bigscience/blob/master/train/arch-and-scaling-template.slurm). | |
| Some tips: | |
| - [TFlops optimization](https://github.com/bigscience-workshop/bigscience/blob/master/train/tflops_optimization.md): How to make sure that given a set of hardware you optimize the speed at which you train. | |
| - [Instrumentation](https://github.com/bigscience-workshop/bigscience/blob/master/tools/README.md): 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` | |