utensil
/
llm-playground
connected to https://github.com/utensil/llm-playground.git


  
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            base_model: tiiuae/falcon-7b
base_model_config: tiiuae/falcon-7b
trust_remote_code: true
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: false
gptq: false
strict: false
push_dataset_to_hub:
datasets:
  - path: teknium/GPT4-LLM-Cleaned
    type: alpaca:chat
dataset_prepared_path: last_run_prepared
val_set_size: 0.01
adapter:
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len:
lora_r: 
lora_alpha: 
lora_dropout: 
lora_target_modules:
lora_target_linear: 
lora_fan_in_fan_out:
wandb_project: 
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./ft-out
micro_batch_size: 1
gradient_accumulation_steps: 2
num_epochs: 4
optimizer: adamw_bnb_8bit
torchdistx_path:
lr_scheduler: cosine
learning_rate: 0.0002
train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: true
gradient_checkpointing: true
# stop training after this many evaluation losses have increased in a row
# https://huggingface.co/transformers/v4.2.2/_modules/transformers/trainer_callback.html#EarlyStoppingCallback
early_stopping_patience: 3
resume_from_checkpoint:
auto_resume_from_checkpoints: true
local_rank:
logging_steps: 1
xformers_attention: true
flash_attention:
gptq_groupsize:
gptq_model_v1:
warmup_steps: 10
eval_steps: 5
save_steps: 10
debug:
deepspeed:
weight_decay: 0.000001
fsdp:
fsdp_config:
special_tokens:
  pad_token: "<|endoftext|>"
  bos_token: ">>ABSTRACT<<"
  eos_token: "<|endoftext|>"