model_name_or_path: ali-elganzory/1.7b-Comma0.1-300BT-longsft_16k-SFT-Tulu3-decontaminated-masked
dtype: bfloat16
attn_implementation: flash_attention_2
trust_remote_code: true
chat_template: "{%- for message in messages -%}\n\t{%- if message[\"role\"] == \"\
  system\" -%}\n\t\t{{- \"<|system|>\\n\" + message[\"content\"] + \"\\n\" -}}\n\t\
  {%- elif message[\"role\"] == \"user\" -%}\n\t\t{{- \"<|user|>\\n\" + message[\"\
  content\"] + \"\\n\" -}}\n\t{%- elif message[\"role\"] == \"assistant\" -%}\n\t\t\
  {%- if not loop.last -%}\n\t\t\t{{- \"<|assistant|>\\n\" + message[\"content\"]\
  \ + eos_token + \"\\n\" -}}\n\t\t{%- else -%}\n\t\t\t{{- \"<|assistant|>\\n\" +\
  \ message[\"content\"] + eos_token -}}\n\t\t{%- endif -%}\n\t{%- endif -%}\n\t{%-\
  \ if loop.last and add_generation_prompt -%}\n\t\t{{- \"<|assistant|>\\n\" -}}\n\
  \t{%- endif -%}\n{%- endfor -%}"
additional_special_tokens:
- <|system|>
- <|user|>
- <|assistant|>
dataset_mixture:
  datasets:
  - id: ali-elganzory/llama-3.1-tulu-3-8b-preference-mixture-decontaminated
    config: default
    split: train
    columns:
    - chosen
    - rejected
dataset_num_proc: 32
remove_unused_columns: true
eval_strategy: 'no'
output_dir: results/dpo/ali-elganzory-1.7b-Comma0.1-300BT-longsft_16k-SFT-Tulu3-decontaminated-masked_tulu-3-8b-preference-mixture-decontaminated_H100
overwrite_output_dir: false
save_strategy: steps
save_steps: 200
save_total_limit: 2
push_to_hub: 'False'
log_level: info
report_to:
- wandb
logging_steps: 10
logging_strategy: steps
seed: 42
bf16: true
gradient_checkpointing: true
gradient_checkpointing_kwargs:
  use_reentrant: false
learning_rate: 5.0e-07
lr_scheduler_type: linear
max_length: 2048
beta: 5
warmup_ratio: 0.1
per_device_train_batch_size: 8
gradient_accumulation_steps: 1
num_train_epochs: 1
hub_model_id: ali-elganzory/1.7b-Comma0.1-300BT-longsft_16k-DPO-Tulu3-decontaminated-masked
hub_strategy: every_save