| ## costa stuff | |
| model_name: vwxyzjn/EleutherAI_pythia-1b-deduped__sft__tldr | |
| model_revision: sft__55513__1706646024 | |
| dataset_name: vwxyzjn/summarize_from_feedback_oai_preprocessing_1706381144 | |
| tokenizer_name: EleutherAI/pythia-1b-deduped | |
| eval_split: validation | |
| prompt_field: query | |
| gold_model_name: vwxyzjn/EleutherAI_pythia-6.9b-deduped__reward__tldr | |
| gold_model_revision: reward__55513__1706651113 | |
| gold_dataset_name: vwxyzjn/summarize_from_feedback_tldr_3_filtered_oai_preprocessing_1706381144 | |
| gold_prompt_field: query | |
| gold_target_field: reference_response | |
| gold_eval_split: validation | |
| strip_prompt: False | |
| ## training stuff | |
| eval_first_step: False | |
| pseudo_dataset_name: mnoukhov/summarize_from_feedback_tldr3_generated_20k_relabel_pythia1b_dpo | |
| beta: 0.5 | |
| max_steps: 10000 | |
| eval_steps: 1000 | |
| load_in_8bit: False | |
| bf16: True | |
| fp16: False | |
| learning_rate: 1e-5 | |
| use_peft: True | |
| lora_all_linear: True | |
| lora_r: 8 | |
| lora_alpha: 32 | |
| lora_dropout: 0.05 | |
| gradient_accumulation_steps: 16 | |
| per_device_train_batch_size: 4 | |
| warmup_steps: 150 | |