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SFT2-Gemma-2-2B - GGUF
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library_name: transformers
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--stage sft
--do_train True
--model_name_or_path google/gemma-2-2b
--preprocessing_num_workers 16
--finetuning_type lora
--template default
--flash_attn auto
--dataset_dir data
--dataset glaive_rag_v1
--cutoff_len 8012
--learning_rate 5e-05
--num_train_epochs 3.0
--max_samples 100000
--per_device_train_batch_size 2
--gradient_accumulation_steps 8
--lr_scheduler_type cosine
--max_grad_norm 1.0
--logging_steps 5
--save_steps 100
--warmup_steps 0
--packing False
--report_to none
--bf16 True
--plot_loss True
--ddp_timeout 180000000
--optim adamw_torch
--lora_rank 8
--lora_alpha 16
--lora_dropout 0
--lora_target all
--val_size 0.1
--eval_strategy steps
--eval_steps 100
--per_device_eval_batch_size 2
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Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
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