--- base_model: microsoft/Phi-3-mini-4k-instruct --- # opus-samantha-phi-3-4k Axolotl Config ```yaml base_model: microsoft/Phi-3-mini-4k-instruct model_type: AutoModelForCausalLM tokenizer_type: AutoTokenizer trust_remote_code: True load_in_8bit: true load_in_4bit: false strict: false sequence_len: 4096 bf16: auto fp16: tf32: false flash_attention: true # Data datasets: - path: macadeliccc/opus_samantha type: sharegpt conversation: chatml # Iterations num_epochs: 3 # Evaluation val_set_size: 0.05 evals_per_epoch: 5 eval_table_size: eval_max_new_tokens: 128 eval_sample_packing: false eval_batch_size: 1 # LoRA output_dir: ./lora-out adapter: lora lora_model_dir: lora_r: 32 lora_alpha: 16 lora_dropout: 0.05 lora_target_linear: true lora_fan_in_fan_out: lora_target_modules: lora_modules_to_save: - embed_tokens - lm_head # Sampling sample_packing: false pad_to_sequence_len: false # Batching gradient_accumulation_steps: 4 micro_batch_size: 4 gradient_checkpointing: true # wandb wandb_project: # Optimizer optimizer: paged_adamw_8bit lr_scheduler: cosine learning_rate: 0.0002 # Misc train_on_inputs: false group_by_length: false early_stopping_patience: resume_from_checkpoint: local_rank: logging_steps: 1 xformers_attention: debug: deepspeed: weight_decay: 0 fsdp: fsdp_config: special_tokens: bos_token: "" eos_token: "" unk_token: "" tokens: # these are delimiters - "<|im_start|>" - "<|im_end|>" ``` [Built with Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl)