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README.md
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Stanford Alpaca
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FINETUNED USING THE ORIGINAL REPOSITORY: https://github.com/tatsu-lab/stanford_alpaca
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NO LORA HAS BEEN USED
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full model 3 epochs og data
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CONFIGURATION (default):
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```shell
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torchrun --nproc_per_node=4 --master_port=3045 train.py \
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--model_name_or_path /workspace/llama-7b-hf \
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--data_path ./alpaca_data.json \
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--bf16 True \
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--output_dir /workspace/output \
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--num_train_epochs 3 \
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--per_device_train_batch_size 4 \
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--per_device_eval_batch_size 4 \
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--gradient_accumulation_steps 8 \
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--evaluation_strategy "no" \
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--save_strategy "steps" \
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--save_steps 200 \
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--save_total_limit 1 \
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--learning_rate 2e-5 \
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--weight_decay 0. \
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--warmup_ratio 0.03 \
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--lr_scheduler_type "cosine" \
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--logging_steps 1 \
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--fsdp "full_shard auto_wrap" \
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--fsdp_transformer_layer_cls_to_wrap 'LLaMADecoderLayer' \
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--tf32 True --report_to="wandb"
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```
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