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rm_v2.yaml

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+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: