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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1195k-token-2.5T
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
is_llama_derived_model: true
load_in_8bit: true
load_in_4bit: false
strict: false
datasets:
- path: jondurbin/airoboros-3.1
type: sharegpt
dataset_prepared_path:
val_set_size: 0.01
output_dir: ./airoboros-lora-out
sequence_len: 2048
sample_packing: true
adapter: lora
lora_model_dir:
lora_r: 128
lora_alpha: 64
lora_dropout: 0.1
lora_target_linear: true
lora_fan_in_fan_out:
wandb_project: airoboros-tinyllama
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 1
micro_batch_size: 8
num_epochs: 1
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.0002
adam_beta1: 0.999
adam_beta2: 0.95
adam_eps: 0.00001
train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: true
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 100
evals_per_epoch: 2
eval_table_size:
saves_per_epoch: 2
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
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