76 lines
1.6 KiB
YAML
76 lines
1.6 KiB
YAML
#Mistral-7b
|
|
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: tilemachos/Demo-Dataset #Path to json dataset file in huggingface
|
|
#for type,conversation arguments read axolotl readme and pick what is suited for your project, I wanted a chatbot and put sharegpt and chatml
|
|
type: sharegpt
|
|
conversation: chatml
|
|
dataset_prepared_path: tilemachos/Demo-Dataset #Path to json dataset file in huggingface
|
|
val_set_size: 0.05
|
|
output_dir: ./out
|
|
|
|
#using lora for lower cost
|
|
adapter: lora
|
|
lora_r: 8
|
|
lora_alpha: 16
|
|
lora_dropout: 0.05
|
|
lora_target_modules:
|
|
- q_proj
|
|
- v_proj
|
|
|
|
sequence_len: 512
|
|
sample_packing: false
|
|
pad_to_sequence_len: true
|
|
|
|
wandb_project:
|
|
wandb_entity:
|
|
wandb_watch:
|
|
wandb_name:
|
|
wandb_log_model:
|
|
|
|
#only 2 epochs because of small dataset
|
|
gradient_accumulation_steps: 3
|
|
micro_batch_size: 2
|
|
num_epochs: 2
|
|
optimizer: adamw_bnb_8bit
|
|
lr_scheduler: cosine
|
|
learning_rate: 0.0002
|
|
|
|
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
|
|
evals_per_epoch: 4
|
|
eval_table_size:
|
|
eval_table_max_new_tokens: 128
|
|
saves_per_epoch: 1
|
|
debug:
|
|
#default deepspeed, can use more aggresive if needed like zero2, zero3
|
|
deepspeed: deepspeed_configs/zero1.json
|
|
weight_decay: 0.0
|
|
fsdp:
|
|
fsdp_config:
|
|
special_tokens:
|
|
bos_token: "<s>"
|
|
eos_token: "</s>"
|
|
unk_token: "<unk>"
|