base_model: mistralai/Mistral-7B-v0.1 | |
# optionally might have model_type or tokenizer_type | |
model_type: MistralForCausalLM | |
tokenizer_type: LlamaTokenizer | |
# Automatically upload checkpoint and final model to HF | |
hub_model_id: AiAF/UFOs-Pretraining-V1.0 | |
load_in_8bit: false | |
load_in_4bit: false | |
strict: false | |
pretraining_dataset: | |
- name: | |
path: AiAF/pretraining.jsonl | |
split: "train" | |
text_column: "text" # column in dataset with the data, usually `text` | |
type: pretrain | |
trust_remote_code: true | |
skip: 0 # number of rows of data to skip over from the beginning | |
dataset_prepared_path: | |
val_set_size: 0.05 | |
output_dir: ./outputs | |
max_steps: 100000 | |
sequence_len: 4096 | |
sample_packing: true | |
pad_to_sequence_len: true | |
eval_sample_packing: false | |
wandb_project: "UFO_LLM_Pretraining" | |
wandb_entity: | |
wandb_watch: "all" | |
wandb_name: "UFO_LLM_Pretraining-V1.0" | |
wandb_log_model: "false" | |
gradient_accumulation_steps: 4 | |
micro_batch_size: 2 | |
num_epochs: 5 | |
optimizer: adamw_bnb_8bit | |
lr_scheduler: cosine | |
learning_rate: 0.000005 | |
train_on_inputs: false | |
group_by_length: false | |
bf16: auto | |
fp16: | |
tf32: false | |
gradient_checkpointing: true | |
early_stopping_patience: | |
resume_from_checkpoint: | |
local_rank: | |
logging_steps: 1 | |
xformers_attention: | |
flash_attention: true | |
warmup_steps: 10 | |
evals_per_epoch: 4 | |
eval_table_size: | |
eval_max_new_tokens: 128 | |
saves_per_epoch: 1 | |
debug: | |
deepspeed: deepspeed_configs/zero3.json | |
weight_decay: 0.0 | |
fsdp: | |
fsdp_config: | |
special_tokens: | |