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Model: andreaskoepf/pythia-1.4b-gpt4all-pretrain Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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---
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wandb: https://wandb.ai/open-assistant/supervised-finetuning/runs/t2adm3wu
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checkpoint: 11000 step (2 epochs)
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datasets:
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```
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pretrain:
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weight_decay: 0.01
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use_custom_sampler: true
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sort_by_length: false
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datasets:
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- joke
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- webgpt:
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val_split: 0.1
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- gpt4all:
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val_split: 0.01
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- alpaca:
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val_split: 0.025
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- code_alpaca:
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val_split: 0.05
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- minimath
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- humaneval_mbpp_codegen_qa
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- humaneval_mbpp_testgen_qa
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- grade_school_math_instructions
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- recipes
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- cmu_wiki_qa
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- oa_wiki_qa_bart_10000row
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- prosocial_dialogue:
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fraction: 0.1
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- explain_prosocial:
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fraction: 0.05
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```
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pythia:
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```
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pythia-1.4b-pretrain:
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dtype: fp16
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learning_rate: 6e-6
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model_name: EleutherAI/pythia-1.4b-deduped
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deepspeed_config: configs/zero_config_pretrain.json
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weight_decay: 0.0
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max_length: 2048
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use_flash_attention: true
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warmup_steps: 50
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gradient_checkpointing: false
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gradient_accumulation_steps: 1
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per_device_train_batch_size: 16
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per_device_eval_batch_size: 16
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num_train_epochs: 2
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save_total_limit: 2
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```
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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`
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