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llama-3-8B-self-instruct-LoRA / axolotl_config.yml
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base_model: llama3-8B
model_type: LlamaForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: true
strict: false
datasets:
- path: llama-3-8b-self-align-data-generation-results/sanitized.jsonl
ds_type: json
type:
system_prompt: "You are an exceptionally intelligent coding assistant that consistently delivers accurate and reliable responses to user instructions."
field_system: system
field_instruction: instruction
field_output: response
format: "### Instruction:\n{instruction}\n\n### Response:\n"
no_input_format: "### Instruction:\n{instruction}\n\n### Response:\n"
dataset_prepared_path:
val_set_size: 0.05
sequence_len: 2048
sample_packing: true
pad_to_sequence_len: true
adapter: qlora
save_safetensors: true
lora_model_dir:
lora_r: 64
lora_alpha: 32
lora_dropout: 0.05
lora_target_linear: true
lora_fan_in_fan_out:
log_with: None
wandb_project: llama-3-8b-self-align-axolotl
wandb_entity:
wandb_watch:
wandb_name: qlora-prince-hps-promptfix
output_dir: qlora_decrease_lr_promptfix
wandb_log_model:
gradient_accumulation_steps: 8
micro_batch_size: 2
num_epochs: 4
optimizer: paged_adamw_32bit
lr_scheduler: cosine
learning_rate: 2e-5
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false
chat_template: alpaca
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: false
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 100
evals_per_epoch: 8
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 2
debug:
deepspeed:
weight_decay: 0.0
fsdp:
- full_shard
- auto_wrap
fsdp_config:
fsdp_limit_all_gathers: true
fsdp_sync_module_states: false
fsdp_offload_params: false
fsdp_use_orig_params: false
fsdp_cpu_ram_efficient_loading: false
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer
fsdp_state_dict_type: FULL_STATE_DICT
fsdp_sharding_strategy: FULL_SHARD
special_tokens:
eos_token: "<|im_end|>"
pad_token: "<|end_of_text|>"
tokens:
- "<|im_start|>"
- "<|im_end|>"
lora_modules_to_save:
- embed_tokens
- lm_head