zephyr-honey / configs /dpo-zephyr.yml
winglian's picture
Upload folder using huggingface_hub
e7948be verified
base_model: HuggingFaceH4/mistral-7b-sft-beta
model_type: MistralForCausalLM
tokenizer_type: LlamaTokenizer
is_mistral_derived_model: true
load_in_8bit: false
load_in_4bit: false
strict: false
rl: kto_pair
datasets:
- path: winglian/deita-nectar
split: train_dpo
type: zephyr.nectar
_test_datasets:
- path: winglian/deita-nectar
split: test_dpo
type: zephyr.nectar
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./zephyr-deita-kto-3ep-v3-r512-bsz16-cosine
save_total_limit: 3
hub_model_id: openaccess-ai-collective/kto-zephyr-deita-nectar-final
adapter: lora
lora_model_dir:
sequence_len: 2048
sample_packing: false
pad_to_sequence_len: false
lora_r: 512
lora_alpha: 256
lora_dropout: 0.05
lora_target_linear: true
lora_modules_to_save:
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project: dpo-zephyr-deita-nectar
wandb_entity: oaaic
wandb_watch:
wandb_run_id:
wandb_name: kto-3ep-v3-r512-bsz16-lr2e-5-cosine
wandb_log_model:
wandb_disabled: true
gradient_accumulation_steps: 1
micro_batch_size: 4
num_epochs: 3
optimizer: paged_adamw_8bit
adam_beta2: 0.95
adam_epsilion: 0.00001
lr_scheduler: cosine
learning_rate: 2.0e-5
train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: true
gradient_checkpointing: true
gradient_checkpoint_kwargs:
use_reentrant: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 10
eval_steps:
eval_table_size:
eval_table_max_new_tokens: 128
save_steps: 538
debug:
deepspeed:
weight_decay: 0.1
fsdp:
fsdp_config:
special_tokens:
save_safetensors: true
dataloader_num_workers: 16
dataloader_pin_memory: true