Create configs/axolotl.yml

configs/axolotl.yml

@@ -0,0 +1,88 @@
+base_model: teknium/OpenHermes-2.5-Mistral-7B
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+is_mistral_derived_model: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+rl: true
+datasets:
+  - path: Intel/orca_dpo_pairs
+    split: train
+    type: intel_apply_chatml
+  - path: allenai/ultrafeedback_binarized_cleaned
+    split: train_prefs
+    type: ultra_apply_chatml
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.0
+output_dir: ./dpopenhermes-rc5/
+save_total_limit: 3
+hub_model_id: openaccess-ai-collective/dpopenhermes-rc5
+
+adapter: lora
+lora_model_dir:
+
+sequence_len: 2048
+sample_packing: false
+pad_to_sequence_len: false
+
+lora_r: 64
+lora_alpha: 32
+lora_dropout: 0.05
+lora_target_linear: true
+lora_modules_to_save:
+  - embed_tokens
+  - lm_head
+lora_fan_in_fan_out:
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+
+wandb_project: openhermes-dpo
+wandb_entity: oaaic
+wandb_watch:
+wandb_run_id:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 4
+num_epochs: 1
+optimizer: paged_adamw_8bit
+adam_beta2: 0.95
+adam_epsilion: 0.00001
+lr_scheduler: cosine
+learning_rate: 2e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: true
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 100
+eval_steps:
+eval_table_size:
+eval_table_max_new_tokens: 128
+save_steps: 239
+debug:
+deepspeed:
+weight_decay: 0.1
+fsdp:
+fsdp_config:
+special_tokens:
+save_safetensors: true