metadata
license: apache-2.0
wandb: https://wandb.ai/open-assistant/supervised-finetuning/runs/pgftwpjx
checkpoint: 11k steps
datasets:
pretrain:
num_train_epochs: 1
weight_decay: 0.0
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
- oig_file:
source_url: https://huggingface.co/datasets/laion/OIG/resolve/main/unified_chip2.jsonl
max_count: 10000
min_length: 250
val_split: 0.1
pythia:
pythia-2.8b-pretrain:
dtype: fp16
learning_rate: 6e-6
model_name: EleutherAI/pythia-2.8b-deduped
deepspeed_config: configs/zero3_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: 12
per_device_eval_batch_size: 12
num_train_epochs: 2
save_total_limit: 2
command: deepspeed trainer_sft.py --configs defaults pretrain pythia-2.8b-pretrain --cache_dir .cache/ --output_dir .saved_models/pythia-2.8b-pre --residual_dropout 0.0 --deepspeed