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--- |
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license: apache-2.0 |
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--- |
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fine-tuned with OA data on top of `andreaskoepf/pythia-12b-pre-2000` |
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wandb: https://wandb.ai/open-assistant/supervised-finetuning/runs/770a0t41 (exported at 4000 steps) |
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command: `/home/ubuntu/Open-Assistant/model/model_training/trainer_sft.py --local_rank=0 --configs defaults reference-data reference-pythia-12b --cache_dir /home/ubuntu/data_cache --output_dir .saved/oasst-sft-3-pythia-12b-reference_2kpre --num_train_epochs 8 --residual_dropout 0.2 --deepspeed --use_flash_attention true --model_name andreaskoepf/pythia-12b-pre-2000` |
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data: |
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``` |
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reference-data: |
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datasets: |
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- oasst_export: |
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lang: "bg,ca,cs,da,de,en,es,fr,hr,hu,it,nl,pl,pt,ro,ru,sl,sr,sv,uk" |
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input_file_path: 2023-03-25_oasst_research_ready_synth_labels.jsonl.gz |
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val_split: 0.05 |
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- alpaca |
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sort_by_length: false |
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use_custom_sampler: false |
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``` |
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pythia: |
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``` |
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reference-pythia-12b: |
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dtype: fp16 |
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log_dir: "pythia_log_12b" |
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learning_rate: 6e-6 |
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model_name: EleutherAI/pythia-12b-deduped |
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output_dir: pythia_model_12b |
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weight_decay: 0.0 |
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max_length: 2048 |
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warmup_steps: 100 |
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gradient_checkpointing: true |
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gradient_accumulation_steps: 2 |
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per_device_train_batch_size: 4 |
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per_device_eval_batch_size: 4 |
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eval_steps: 100 |
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save_steps: 1000 |
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num_train_epochs: 8 |
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save_total_limit: 4 |
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``` |
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zero config: |
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``` |
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{ |
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"fp16": { |
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"enabled": "auto", |
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"loss_scale": 0, |
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"loss_scale_window": 1000, |
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"initial_scale_power": 16, |
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"hysteresis": 2, |
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"min_loss_scale": 1 |
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}, |
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"bf16": { |
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"enabled": "auto" |
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}, |
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"optimizer": { |
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"type": "AdamW", |
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"params": { |
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"lr": "auto", |
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"betas": "auto", |
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"eps": "auto", |
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"weight_decay": "auto" |
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} |
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}, |
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"scheduler": { |
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"type": "WarmupDecayLR", |
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"params": { |
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"warmup_min_lr": "auto", |
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"warmup_max_lr": "auto", |
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"warmup_num_steps": "auto", |
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"total_num_steps": "auto" |
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} |
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}, |
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"zero_optimization": { |
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"stage": 2, |
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"allgather_partitions": true, |
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"allgather_bucket_size": 1e9, |
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"overlap_comm": false, |
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"reduce_scatter": true, |
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"reduce_bucket_size": 1e9, |
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"contiguous_gradients": true |
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}, |
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"gradient_accumulation_steps": "auto", |
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"gradient_clipping": "auto", |
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"steps_per_print": 2000, |
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"train_batch_size": "auto", |
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"train_micro_batch_size_per_gpu": "auto", |
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"wall_clock_breakdown": false |
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} |
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``` |
