base_model: meta-llama/Meta-Llama-3.1-8B model_type: LlamaForCausalLM tokenizer_type: AutoTokenizer trust_remote_code: true datasets: - path: /workspace/datasets/openhermes_200k_unfiltered/Open_Hermes_200k_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/magpie_function_calling/magpie_function_calling.jsonl type: sharegpt conversation: chatml unfrozen_parameters: - ^lm_head.weight$ - ^model.embed_tokens.weight$ # input_layernorm layers - model.layers.0.input_layernorm - model.layers.1.input_layernorm - model.layers.2.input_layernorm - model.layers.3.input_layernorm - model.layers.4.input_layernorm - model.layers.5.input_layernorm - model.layers.6.input_layernorm - model.layers.7.input_layernorm - model.layers.8.input_layernorm - model.layers.9.input_layernorm - model.layers.10.input_layernorm - model.layers.11.input_layernorm - model.layers.12.input_layernorm - model.layers.13.input_layernorm - model.layers.14.input_layernorm - model.layers.15.input_layernorm # lm_head layers # mlp.down_proj layers - model.layers.1.mlp.down_proj - model.layers.0.mlp.down_proj - model.layers.30.mlp.down_proj - model.layers.2.mlp.down_proj - model.layers.21.mlp.down_proj - model.layers.22.mlp.down_proj - model.layers.29.mlp.down_proj - model.layers.5.mlp.down_proj - model.layers.4.mlp.down_proj - model.layers.20.mlp.down_proj - model.layers.23.mlp.down_proj - model.layers.19.mlp.down_proj - model.layers.3.mlp.down_proj - model.layers.17.mlp.down_proj - model.layers.6.mlp.down_proj - model.layers.31.mlp.down_proj # mlp.gate_proj layers - model.layers.1.mlp.gate_proj - model.layers.2.mlp.gate_proj - model.layers.3.mlp.gate_proj - model.layers.4.mlp.gate_proj - model.layers.0.mlp.gate_proj - model.layers.25.mlp.gate_proj - model.layers.26.mlp.gate_proj - model.layers.5.mlp.gate_proj - model.layers.24.mlp.gate_proj - model.layers.28.mlp.gate_proj - model.layers.23.mlp.gate_proj - model.layers.27.mlp.gate_proj - model.layers.21.mlp.gate_proj - model.layers.22.mlp.gate_proj - model.layers.29.mlp.gate_proj - model.layers.20.mlp.gate_proj # mlp.up_proj layers - model.layers.4.mlp.up_proj - model.layers.3.mlp.up_proj - model.layers.0.mlp.up_proj - model.layers.5.mlp.up_proj - model.layers.7.mlp.up_proj - model.layers.6.mlp.up_proj - model.layers.2.mlp.up_proj - model.layers.1.mlp.up_proj - model.layers.8.mlp.up_proj - model.layers.12.mlp.up_proj - model.layers.14.mlp.up_proj - model.layers.9.mlp.up_proj - model.layers.15.mlp.up_proj - model.layers.17.mlp.up_proj - model.layers.13.mlp.up_proj - model.layers.19.mlp.up_proj # model.embed_tokens layers # model.norm layers # post_attention_layernorm layers - model.layers.0.post_attention_layernorm - model.layers.1.post_attention_layernorm - model.layers.2.post_attention_layernorm - model.layers.3.post_attention_layernorm - model.layers.4.post_attention_layernorm - model.layers.5.post_attention_layernorm - model.layers.6.post_attention_layernorm - model.layers.7.post_attention_layernorm - model.layers.8.post_attention_layernorm - model.layers.9.post_attention_layernorm - model.layers.10.post_attention_layernorm - model.layers.11.post_attention_layernorm - model.layers.12.post_attention_layernorm - model.layers.13.post_attention_layernorm - model.layers.14.post_attention_layernorm - model.layers.15.post_attention_layernorm # self_attn.k_proj layers - model.layers.29.self_attn.k_proj - model.layers.25.self_attn.k_proj - model.layers.23.self_attn.k_proj - model.layers.28.self_attn.k_proj - model.layers.21.self_attn.k_proj - model.layers.19.self_attn.k_proj - model.layers.22.self_attn.k_proj - model.layers.20.self_attn.k_proj - model.layers.24.self_attn.k_proj - model.layers.31.self_attn.k_proj - model.layers.27.self_attn.k_proj - model.layers.26.self_attn.k_proj - model.layers.17.self_attn.k_proj - model.layers.11.self_attn.k_proj - model.layers.18.self_attn.k_proj - model.layers.14.self_attn.k_proj # self_attn.o_proj layers - model.layers.14.self_attn.o_proj - model.layers.7.self_attn.o_proj - model.layers.5.self_attn.o_proj - model.layers.11.self_attn.o_proj - model.layers.6.self_attn.o_proj - model.layers.24.self_attn.o_proj - model.layers.9.self_attn.o_proj - model.layers.13.self_attn.o_proj - model.layers.10.self_attn.o_proj - model.layers.12.self_attn.o_proj - model.layers.8.self_attn.o_proj - model.layers.25.self_attn.o_proj - model.layers.21.self_attn.o_proj - model.layers.23.self_attn.o_proj - model.layers.15.self_attn.o_proj - model.layers.16.self_attn.o_proj # self_attn.q_proj layers - model.layers.8.self_attn.q_proj - model.layers.13.self_attn.q_proj - model.layers.9.self_attn.q_proj - model.layers.14.self_attn.q_proj - model.layers.10.self_attn.q_proj - model.layers.11.self_attn.q_proj - model.layers.0.self_attn.q_proj - model.layers.15.self_attn.q_proj - model.layers.1.self_attn.q_proj - model.layers.6.self_attn.q_proj - model.layers.5.self_attn.q_proj - model.layers.7.self_attn.q_proj - model.layers.12.self_attn.q_proj - model.layers.16.self_attn.q_proj - model.layers.17.self_attn.q_proj - model.layers.26.self_attn.q_proj # self_attn.v_proj layers - model.layers.26.self_attn.v_proj - model.layers.17.self_attn.v_proj - model.layers.3.self_attn.v_proj - model.layers.28.self_attn.v_proj - model.layers.29.self_attn.v_proj - model.layers.21.self_attn.v_proj - model.layers.15.self_attn.v_proj - model.layers.16.self_attn.v_proj - model.layers.20.self_attn.v_proj - model.layers.25.self_attn.v_proj - model.layers.6.self_attn.v_proj - model.layers.23.self_attn.v_proj - model.layers.4.self_attn.v_proj - model.layers.1.self_attn.v_proj - model.layers.22.self_attn.v_proj - model.layers.14.self_attn.v_proj chat_template: chatml val_set_size: 0.01 output_dir: llama_3.1_8b_function_calling data_seed: 49 seed: 49 sequence_len: 8192 sample_packing: true pad_to_sequence_len: true wandb_project: function-calling-spectrum wandb_entity: therealagi-reviewramp wandb_watch: gradients wandb_name: wandb_log_model: gradient_accumulation_steps: 4 micro_batch_size: 2 num_epochs: 3 optimizer: adamw_torch lr_scheduler: linear #linear is theoreticall optimal... https://arxiv.org/abs/2310.07831 learning_rate: 5e-6 train_on_inputs: false group_by_length: false bf16: auto fp16: tf32: false gradient_checkpointing: true early_stopping_patience: resume_from_checkpoint: local_rank: logging_steps: 1 xformers_attention: flash_attention: true auto_resume_from_checkpoints: true warmup_steps: 10 evals_per_epoch: 2 eval_table_size: eval_max_new_tokens: 128 saves_per_epoch: 2 save_total_limit: 2 debug: deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json weight_decay: 0.05 fsdp: fsdp_config: special_tokens: pad_token: "<|endoftext|>" eos_token: "<|im_end|>"