distrilora / config.yml
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base_model: openchat/openchat_3.5
model_type: MistralForCausalLM
tokenizer_type: LlamaTokenizer
is_mistral_derived_model: true
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: FrederikH/LinearAlgebra-Python
type: alpaca
dataset_prepared_path:
val_set_size: 0.05
output_dir: ./out
sequence_len: 8192
sample_packing: true
pad_to_sequence_len: true
wandb_project:
wandb_entity:
wandb_watch:
wandb_run_id:
wandb_log_model:
gradient_accumulation_steps: 8
micro_batch_size: 4
num_epochs: 4
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.000005
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:
warmup_steps: 10
eval_table_size:
eval_table_max_new_tokens: 128
debug:
deepspeed:
fsdp:
fsdp_config:
special_tokens:
bos_token: "<s>"
eos_token: "</s>"
unk_token: "<unk>"
bench_dataset: pharaouk/dharma-1/dharma_1_mini.json
do_bench_eval: true
push_to_hub: true
hub_model_id: FrederikH/linear-algebra
hub_strategy: "every_save"
hub_token:
flash_attention: true
weight_decay: 0.01
eval_steps: 1
save_steps: 1