base_model: mistralai/Mistral-7B-v0.1 | |
model_type: MistralForCausalLM | |
tokenizer_type: LlamaTokenizer | |
is_mistral_derived_model: true | |
load_in_8bit: false | |
load_in_4bit: true | |
strict: false | |
lora_fan_in_fan_out: false | |
data_seed: 49 | |
seed: 49 | |
datasets: | |
- path: _synth_data/alpaca_synth_queries_healed.jsonl | |
type: sharegpt | |
conversation: alpaca | |
dataset_prepared_path: last_run_prepared | |
val_set_size: 0.1 | |
output_dir: ./qlora-alpaca-out | |
hub_model_id: hamel/hc-mistral-alpaca | |
adapter: qlora | |
lora_model_dir: | |
sequence_len: 896 | |
sample_packing: false | |
pad_to_sequence_len: true | |
lora_r: 32 | |
lora_alpha: 16 | |
lora_dropout: 0.05 | |
lora_target_linear: true | |
lora_fan_in_fan_out: | |
lora_target_modules: | |
- gate_proj | |
- down_proj | |
- up_proj | |
- q_proj | |
- v_proj | |
- k_proj | |
- o_proj | |
wandb_project: hc-axolotl-mistral | |
wandb_entity: hamelsmu | |
gradient_accumulation_steps: 4 | |
micro_batch_size: 16 | |
eval_batch_size: 16 | |
num_epochs: 3 | |
optimizer: adamw_bnb_8bit | |
lr_scheduler: cosine | |
learning_rate: 0.0002 | |
max_grad_norm: 1.0 | |
adam_beta2: 0.95 | |
adam_epsilon: 0.00001 | |
save_total_limit: 12 | |
train_on_inputs: false | |
group_by_length: false | |
bf16: true | |
fp16: false | |
tf32: false | |
gradient_checkpointing: true | |
early_stopping_patience: | |
resume_from_checkpoint: | |
local_rank: | |
logging_steps: 1 | |
xformers_attention: | |
flash_attention: true | |
loss_watchdog_threshold: 5.0 | |
loss_watchdog_patience: 3 | |
warmup_steps: 20 | |
evals_per_epoch: 4 | |
eval_table_size: | |
eval_table_max_new_tokens: 128 | |
saves_per_epoch: 6 | |
debug: | |
weight_decay: 0.0 | |
fsdp: | |
fsdp_config: | |
special_tokens: | |
bos_token: "<s>" | |
eos_token: "</s>" | |
unk_token: "<unk>" | |
save_safetensors: true | |