pythia-12b-sft-8:
dtype: fp16
log_dir: "pythia_log_12b"
learning_rate: 6e-6
model_name: OpenAssistant/pythia-12b-pre-v8-12.5k-steps
output_dir: pythia_model_12b
weight_decay: 0.0
residual_dropout: 0.0
max_length: 2048
use_flash_attention: true
warmup_steps: 100
gradient_checkpointing: true
gradient_accumulation_steps: 2
per_device_train_batch_size: 4
per_device_eval_batch_size: 4
eval_steps: 251
save_steps: 500
num_train_epochs: 8
save_total_limit: 4
num_train_epochs: 8
save_total_limit: 3
use_custom_sampler: true
sort_by_length: false
save_strategy: steps
datasets:
- oasst_export:
lang: "bg,ca,cs,da,de,en,es,fr,hr,hu,it,nl,pl,pt,ro,ru,sl,sr,sv,uk"
input_file_path: 2023-05-06_OASST_labels.jsonl.gz
val_split: 0.05
- vicuna:
val_split: 0.05
max_val_set: 800
fraction: 0.4
- dolly15k:
val_split: 0.05
max_val_set: 300
- grade_school_math_instructions:
val_split: 0.05
- code_alpaca:
val_split: 0.05
max_val_set: 250
- red_pajama:
fraction: 0.05
max_val_set: 1000
- wizardlm_70k:
val_split: 0.05
max_val_set: 500
fraction: 0.4
- poem_instructions:
fraction: 0.5
val_split: 0.025
