| base_model: /ephemeral/qwen_base/gate_reduction_middle_outward_init | |
| base_model_ignore_patterns: "*/*" | |
| # optionally might have model_type or tokenizer_type | |
| model_type: AutoModelForCausalLM | |
| tokenizer_type: AutoTokenizer | |
| trust_remote_code: true | |
| plugins: | |
| - axolotl.integrations.liger.LigerPlugin | |
| liger_rope: true | |
| liger_rms_norm: true | |
| liger_swiglu: true | |
| liger_fused_linear_cross_entropy: false | |
| load_in_8bit: false | |
| load_in_4bit: false | |
| strict: false | |
| auto_resume_from_checkpoints: true | |
| datasets: | |
| - path: /ephemeral/boom/verifiers/quest-tools/data_rm_tools | |
| data_files: "/ephemeral/boom/verifiers/quest-tools/data_rm_tools/sample_heha_20k_axo.jsonl" | |
| ds_type: json | |
| type: completion | |
| use_hub: false | |
| shuffle_merged_datasets: true | |
| dataset_prepared_path: ./prepared_v2-12/ | |
| val_set_size: 0.005 | |
| output_dir: ./output-20k-both-2/ | |
| sequence_len: 6144 | |
| sample_packing: true | |
| eval_sample_packing: true | |
| gradient_accumulation_steps: 1 | |
| micro_batch_size: 4 | |
| num_epochs: 2 | |
| optimizer: paged_adamw_8bit | |
| lr_scheduler: cosine | |
| learning_rate: 1e-6 | |
| adam_beta1: 0.9 | |
| adam_beta2: 0.999 | |
| max_grad_norm: 0.001 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: auto | |
| gradient_checkpointing: true | |
| gradient_checkpointing_kwargs: | |
| use_reentrant: true | |
| logging_steps: 1 | |
| flash_attention: true | |
| warmup_steps: 200 | |
| eval_steps: 50 | |
| saves_per_epoch: 5 | |
| deepspeed: /ephemeral/axolotl/axolotl/deepspeed_configs/zero3_bf16.json | |
| auto_resume_from_checkpoints: false | |
| wandb_project: corruption_model_rm_chunk | |
| wandb_entity: | |
| wandb_watch: | |
| wandb_name: rm-v2-20k-both-2 | |
| wandb_log_model: |