base_model: mistralai/Mistral-7B-v0.1
model_type: MistralForCausalLM
tokenizer_type: LlamaTokenizer
is_mistral_derived_model: true
load_in_8bit: true
load_in_4bit: false
strict: false
datasets:
- path: sci-datasets/arc_challange_train_alpaca.json
ds_type: json
type: alpaca
- path: sci-datasets/camelai_biology_alpaca.json
ds_type: json
type: alpaca
- path: sci-datasets/camelai_chemistry_alpaca.json
ds_type: json
type: alpaca
- path: sci-datasets/camelai_physics_alpaca.json
ds_type: json
type: alpaca
- path: sci-datasets/openbookqa_alpaca.json
ds_type: json
type: alpaca
- path: sci-datasets/reclor_science_alpaca.json
ds_type: json
type: alpaca
- path: sci-datasets/scibench_alpaca.json
ds_type: json
type: alpaca
- path: sci-datasets/scienceqa_alpaca.json
ds_type: json
type: alpaca
- path: sci-datasets/theoremqa_alpaca.json
ds_type: json
type: alpaca
- path: sci-datasets/tiger_scienceeval_alpaca.json
ds_type: json
type: alpaca
dataset_prepared_path: last_run_prepared
val_set_size: 0
output_dir: ./science-mistral
adapter: lora
lora_model_dir:
sequence_len: 8192
sample_packing: true
pad_to_sequence_len: true
lora_r: 64
lora_alpha: 32
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: huggingface
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
# change #
gradient_accumulation_steps: 4
micro_batch_size: 4
num_epochs: 1
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.0002
# change #
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
warmup_steps: 10
saves_per_epoch: 2
debug:
deepspeed:
weight_decay: 0.1
fsdp:
fsdp_config:
special_tokens:
bos_token: ""
eos_token: ""
unk_token: ""