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# Machine Intelligence Made to Impersonate Characteristics: MIMIC | |
# NOTE run this $ conda install -c conda-forge mpi4py mpich to get mpi working | |
# accelerate launch --use_deepspeed -m axolotl.cli.train ./config_name_here | |
base_model: alpindale/Mistral-7B-v0.2-hf | |
base_model_config: alpindale/Mistral-7B-v0.2-hf | |
model_type: MistralForCausalLM | |
tokenizer_type: LlamaTokenizer | |
is_mistral_derived_model: true | |
load_in_8bit: false | |
load_in_4bit: false | |
strict: false | |
datasets: | |
- path: json | |
data_files: humanityendures.json | |
ds_type: json | |
type: completion | |
- path: json | |
data_files: gpt_data_export.jsonl | |
ds_type: json | |
type: sharegpt | |
- path: json | |
data_files: personal_notes_sharegpt.jsonl | |
ds_type: json | |
type: sharegpt | |
- path: json | |
data_files: substack_json_data.json | |
ds_type: json | |
type: sharegpt | |
dataset_prepared_path: mimic_run_prepared | |
output_dir: ./mimic_evan | |
sequence_len: 8192 | |
sample_packing: true | |
pad_to_sequence_len: true | |
wandb_project: mimic-experiment-1 | |
wandb_entity: | |
wandb_watch: | |
wandb_run_id: | |
wandb_log_model: | |
gradient_accumulation_steps: 1 | |
micro_batch_size: 6 | |
eval_batch_size: 6 | |
num_epochs: 3 | |
optimizer: galore_adamw_8bit | |
lr_scheduler: cosine | |
learning_rate: 0.0000035 | |
cosine_min_lr_ratio: 0 | |
weight_decay: 0.1 | |
# adamw hyperparams | |
adam_beta1: 0.9 | |
adam_beta2: 0.999 | |
adam_epsilon: 0.00000001 | |
# Gradient clipping max norm | |
max_grad_norm: 1.0 | |
noisy_embedding_alpha: 5 | |
optim_args: | |
#For Galore Optimizers the following optim_args are available | |
rank: 256 # type: int | |
update_proj_gap: 200 # type: int | |
scale: 0.25 # type: float | |
proj_type: "std" # type: str, default = std | |
optim_target_modules: | |
- mlp | |
- self_attn | |
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 | |
# fsdp: | |
# - full_shard | |
# - auto_wrap | |
# fsdp_config: | |
# fsdp_offload_params: false | |
# fsdp_state_dict_type: FULL_STATE_DICT | |
# fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer | |
warmup_steps: 10 | |
auto_resume_from_checkpoints: false | |
#warmup_ratio: 0.5 | |
eval_steps: 10 | |
saves_per_epoch: 1 | |
eval_sample_packing: false | |
save_total_limit: 2 | |
debug: | |
deepspeed: deepspeed_configs/zero2.json |
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