metadata
license: apache-2.0
wandb: https://wandb.ai/open-assistant/supervised-finetuning/runs/t2adm3wu
checkpoint: 11000 step (2 epochs)
datasets:
pretrain:
weight_decay: 0.01
use_custom_sampler: true
sort_by_length: false
datasets:
- joke
- webgpt:
val_split: 0.1
- gpt4all:
val_split: 0.01
- alpaca:
val_split: 0.025
- code_alpaca:
val_split: 0.05
- minimath
- humaneval_mbpp_codegen_qa
- humaneval_mbpp_testgen_qa
- grade_school_math_instructions
- recipes
- cmu_wiki_qa
- oa_wiki_qa_bart_10000row
- prosocial_dialogue:
fraction: 0.1
- explain_prosocial:
fraction: 0.05
pythia:
pythia-1.4b-pretrain:
dtype: fp16
learning_rate: 6e-6
model_name: EleutherAI/pythia-1.4b-deduped
deepspeed_config: configs/zero_config_pretrain.json
weight_decay: 0.0
max_length: 2048
use_flash_attention: true
warmup_steps: 50
gradient_checkpointing: false
gradient_accumulation_steps: 1
per_device_train_batch_size: 16
per_device_eval_batch_size: 16
num_train_epochs: 2
save_total_limit: 2
command: deepspeed trainer_sft.py --configs defaults pretrain pythia-1.4b-pretrain --cache_dir .cache/ --output_dir .saved_models/pythia-1.4b-pre --residual_dropout 0.0 --deepspeed