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Update 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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---
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license: apache-2.0
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---
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- wandb (internal): https://wandb.ai/open-assistant/supervised-finetuning/runs/tlevhltw
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- checkpoint: 2000 steps (~2.9 epochs)
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Model:
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```
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falcon-7b:
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dtype: bf16
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log_dir: "falcon_log_7b"
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learning_rate: 1e-5
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model_name: "tiiuae/falcon-7b"
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deepspeed_config: configs/zero_config.json
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output_dir: falcon
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weight_decay: 0.0
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max_length: 2048
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warmup_steps: 20
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gradient_checkpointing: true
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gradient_accumulation_steps: 4
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per_device_train_batch_size: 4
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per_device_eval_batch_size: 8
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eval_steps: 100
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save_steps: 500
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save_strategy: steps
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num_train_epochs: 8
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save_total_limit: 4
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residual_dropout: 0.2
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residual_dropout_lima: true
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```
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Dataset:
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```
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sft9-stage2:
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# oasst_export: 100.00% (29899)
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# vicuna: 50.00% (16963)
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# code_alpaca: 50.00% (9510)
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# oa_wiki_qa_bart_10000row: 100.00% (9434)
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# grade_school_math_instructions: 100.00% (8351)
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# dolly15k: 100.00% (14250)
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use_custom_sampler: true
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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" # sft-8.0
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input_file_path: 2023-06-02_oasst_all_labels.jsonl.gz
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val_split: 0.05
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top_k: 2
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- vicuna:
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fraction: 0.5
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val_split: 0.025
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max_val_set: 250
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- code_alpaca:
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fraction: 0.5
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val_split: 0.05
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max_val_set: 250
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- oa_wiki_qa_bart_10000row:
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val_split: 0.05
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max_val_set: 250
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- grade_school_math_instructions:
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val_split: 0.05
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- dolly15k:
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val_split: 0.05
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max_val_set: 300
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```
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