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rpgpt-30b-lora

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rpgpt-30b-lora
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base_model: Neko-Institute-of-Science/LLaMA-30B-HF
base_model_config: Neko-Institute-of-Science/LLaMA-30B-HF
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: true
load_4bit:
datasets:
  - path: practicaldreamer/RPGPT_PublicDomain-ShareGPT
    data_files: RPGPT_PublicDomain_v3-sharegpt.json
    type: sharegpt
dataset_prepared_path: data/last_run_prepared
val_set_size: 0.0025
adapter: lora
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len:
lora_r: 64
lora_alpha: 128
lora_dropout: 0.05
lora_target_modules:
  - q_proj
  - v_proj
#  - k_proj
#  - o_proj
lora_fan_in_fan_out: false
wandb_project:
wandb_watch:
wandb_run_id:
wandb_log_model: checkpoint
output_dir: output_dir
batch_size: 128
micro_batch_size: 4
eval_batch_size: 1
num_epochs: 1
warmup_steps: 50
logging_steps:
learning_rate: 0.00003
optimizer: adamw_bnb_8bit
torchdistx_path:
lr_scheduler: cosine
train_on_inputs: false
group_by_length: false
bf16: true
tf32: true
gradient_checkpointing: true
early_stopping_patience: 3
resume_from_checkpoint:
auto_resume_from_checkpoints:
local_rank:
xformers_attention: true
flash_attention: 
gptq_groupsize:
gptq_model_v1:
save_steps: 4
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
  fsdp_transformer_layer_cls_to_wrap:
  fsdp_min_num_params: 2000
  fsdp_backward_prefetch:
    - backward_pre
  limit_all_gathers: false
special_tokens:
  pad_token: "[PAD]"
  bos_token: "<s>"
  eos_token: "</s>"
  unk_token: "<unk>"