--- license: other base_model: Qwen/Qwen2-72B tags: - generated_from_trainer model-index: - name: qwen2-72b results: [] --- [Built with Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl)
See axolotl config axolotl version: `0.4.0` ```yaml base_model: Qwen/Qwen2-72B model_type: AutoModelForCausalLM tokenizer_type: AutoTokenizer trust_remote_code: true # load_in_8bit: true # load_in_4bit: false # strict: false datasets: - path: /workspace/datasets/dolphin-2.9.2/dolphin201-sharegpt2.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-codegen-sharegpt2.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-translate-sharegpt2.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/not_samantha_norefusals.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/openhermes200k_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/Orca-Math-resort-unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/SystemChat_sharegpt.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/toolbench_instruct_j1s1_3k_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/toolbench_negative_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/toolbench_react_10p_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/toolbench_tflan_cot_30p_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/agent_instruct_react_unfiltered.jsonl type: sharegpt conversation: chatml unfrozen_parameters: - ^lm_head.weight$ - ^model.embed_tokens.weight$ # mlp.down_proj layers - model.layers.62.mlp.down_proj - model.layers.63.mlp.down_proj - model.layers.66.mlp.down_proj - model.layers.65.mlp.down_proj - model.layers.64.mlp.down_proj - model.layers.67.mlp.down_proj - model.layers.68.mlp.down_proj - model.layers.60.mlp.down_proj - model.layers.31.mlp.down_proj - model.layers.69.mlp.down_proj - model.layers.61.mlp.down_proj - model.layers.59.mlp.down_proj - model.layers.70.mlp.down_proj - model.layers.30.mlp.down_proj - model.layers.76.mlp.down_proj - model.layers.72.mlp.down_proj - model.layers.77.mlp.down_proj - model.layers.71.mlp.down_proj - model.layers.29.mlp.down_proj - model.layers.58.mlp.down_proj - model.layers.75.mlp.down_proj - model.layers.32.mlp.down_proj - model.layers.56.mlp.down_proj - model.layers.28.mlp.down_proj - model.layers.26.mlp.down_proj - model.layers.33.mlp.down_proj - model.layers.34.mlp.down_proj - model.layers.57.mlp.down_proj - model.layers.27.mlp.down_proj - model.layers.25.mlp.down_proj - model.layers.35.mlp.down_proj - model.layers.73.mlp.down_proj - model.layers.24.mlp.down_proj - model.layers.78.mlp.down_proj - model.layers.74.mlp.down_proj - model.layers.54.mlp.down_proj # mlp.gate_proj layers - model.layers.78.mlp.gate_proj - model.layers.77.mlp.gate_proj - model.layers.76.mlp.gate_proj - model.layers.79.mlp.gate_proj - model.layers.75.mlp.gate_proj - model.layers.74.mlp.gate_proj - model.layers.73.mlp.gate_proj - model.layers.70.mlp.gate_proj - model.layers.72.mlp.gate_proj - model.layers.71.mlp.gate_proj - model.layers.69.mlp.gate_proj - model.layers.54.mlp.gate_proj - model.layers.68.mlp.gate_proj - model.layers.57.mlp.gate_proj - model.layers.63.mlp.gate_proj - model.layers.49.mlp.gate_proj - model.layers.55.mlp.gate_proj - model.layers.53.mlp.gate_proj - model.layers.44.mlp.gate_proj - model.layers.46.mlp.gate_proj - model.layers.67.mlp.gate_proj - model.layers.58.mlp.gate_proj - model.layers.56.mlp.gate_proj - model.layers.45.mlp.gate_proj - model.layers.50.mlp.gate_proj - model.layers.62.mlp.gate_proj - model.layers.64.mlp.gate_proj - model.layers.48.mlp.gate_proj - model.layers.66.mlp.gate_proj - model.layers.52.mlp.gate_proj - model.layers.40.mlp.gate_proj - model.layers.47.mlp.gate_proj - model.layers.43.mlp.gate_proj - model.layers.65.mlp.gate_proj - model.layers.61.mlp.gate_proj - model.layers.59.mlp.gate_proj # mlp.up_proj layers - model.layers.69.mlp.up_proj - model.layers.70.mlp.up_proj - model.layers.71.mlp.up_proj - model.layers.68.mlp.up_proj - model.layers.67.mlp.up_proj - model.layers.66.mlp.up_proj - model.layers.46.mlp.up_proj - model.layers.63.mlp.up_proj - model.layers.72.mlp.up_proj - model.layers.64.mlp.up_proj - model.layers.62.mlp.up_proj - model.layers.45.mlp.up_proj - model.layers.65.mlp.up_proj - model.layers.73.mlp.up_proj - model.layers.47.mlp.up_proj - model.layers.44.mlp.up_proj - model.layers.49.mlp.up_proj - model.layers.48.mlp.up_proj - model.layers.53.mlp.up_proj - model.layers.74.mlp.up_proj - model.layers.75.mlp.up_proj - model.layers.57.mlp.up_proj - model.layers.76.mlp.up_proj - model.layers.43.mlp.up_proj - model.layers.42.mlp.up_proj - model.layers.61.mlp.up_proj - model.layers.40.mlp.up_proj - model.layers.56.mlp.up_proj - model.layers.60.mlp.up_proj - model.layers.31.mlp.up_proj - model.layers.54.mlp.up_proj - model.layers.55.mlp.up_proj - model.layers.32.mlp.up_proj - model.layers.41.mlp.up_proj - model.layers.33.mlp.up_proj - model.layers.58.mlp.up_proj # self_attn.k_proj layers - model.layers.79.self_attn.k_proj - model.layers.36.self_attn.k_proj - model.layers.35.self_attn.k_proj - model.layers.74.self_attn.k_proj - model.layers.34.self_attn.k_proj - model.layers.78.self_attn.k_proj - model.layers.77.self_attn.k_proj - model.layers.37.self_attn.k_proj - model.layers.39.self_attn.k_proj - model.layers.41.self_attn.k_proj - model.layers.38.self_attn.k_proj - model.layers.33.self_attn.k_proj - model.layers.69.self_attn.k_proj - model.layers.42.self_attn.k_proj - model.layers.32.self_attn.k_proj - model.layers.25.self_attn.k_proj - model.layers.70.self_attn.k_proj - model.layers.22.self_attn.k_proj - model.layers.63.self_attn.k_proj - model.layers.29.self_attn.k_proj - model.layers.68.self_attn.k_proj - model.layers.24.self_attn.k_proj - model.layers.30.self_attn.k_proj - model.layers.66.self_attn.k_proj - model.layers.31.self_attn.k_proj - model.layers.23.self_attn.k_proj - model.layers.65.self_attn.k_proj - model.layers.57.self_attn.k_proj - model.layers.28.self_attn.k_proj - model.layers.64.self_attn.k_proj - model.layers.44.self_attn.k_proj - model.layers.27.self_attn.k_proj - model.layers.75.self_attn.k_proj - model.layers.40.self_attn.k_proj - model.layers.26.self_attn.k_proj - model.layers.61.self_attn.k_proj # self_attn.o_proj layers - model.layers.14.self_attn.o_proj - model.layers.39.self_attn.o_proj - model.layers.19.self_attn.o_proj - model.layers.16.self_attn.o_proj - model.layers.17.self_attn.o_proj - model.layers.15.self_attn.o_proj - model.layers.69.self_attn.o_proj - model.layers.12.self_attn.o_proj - model.layers.42.self_attn.o_proj - model.layers.23.self_attn.o_proj - model.layers.22.self_attn.o_proj - model.layers.29.self_attn.o_proj - model.layers.13.self_attn.o_proj - model.layers.46.self_attn.o_proj - model.layers.52.self_attn.o_proj - model.layers.26.self_attn.o_proj - model.layers.38.self_attn.o_proj - model.layers.41.self_attn.o_proj - model.layers.18.self_attn.o_proj - model.layers.49.self_attn.o_proj - model.layers.11.self_attn.o_proj - model.layers.28.self_attn.o_proj - model.layers.25.self_attn.o_proj - model.layers.47.self_attn.o_proj - model.layers.53.self_attn.o_proj - model.layers.27.self_attn.o_proj - model.layers.37.self_attn.o_proj - model.layers.20.self_attn.o_proj - model.layers.43.self_attn.o_proj - model.layers.44.self_attn.o_proj - model.layers.45.self_attn.o_proj - model.layers.30.self_attn.o_proj - model.layers.24.self_attn.o_proj - model.layers.21.self_attn.o_proj - model.layers.10.self_attn.o_proj - model.layers.3.self_attn.o_proj # self_attn.q_proj layers - model.layers.1.self_attn.q_proj - model.layers.2.self_attn.q_proj - model.layers.3.self_attn.q_proj - model.layers.5.self_attn.q_proj - model.layers.4.self_attn.q_proj - model.layers.0.self_attn.q_proj - model.layers.6.self_attn.q_proj - model.layers.8.self_attn.q_proj - model.layers.7.self_attn.q_proj - model.layers.9.self_attn.q_proj - model.layers.10.self_attn.q_proj - model.layers.12.self_attn.q_proj - model.layers.19.self_attn.q_proj - model.layers.18.self_attn.q_proj - model.layers.25.self_attn.q_proj - model.layers.11.self_attn.q_proj - model.layers.15.self_attn.q_proj - model.layers.61.self_attn.q_proj - model.layers.17.self_attn.q_proj - model.layers.55.self_attn.q_proj - model.layers.54.self_attn.q_proj - model.layers.16.self_attn.q_proj - model.layers.68.self_attn.q_proj - model.layers.49.self_attn.q_proj - model.layers.48.self_attn.q_proj - model.layers.52.self_attn.q_proj - model.layers.13.self_attn.q_proj - model.layers.42.self_attn.q_proj - model.layers.57.self_attn.q_proj - model.layers.60.self_attn.q_proj - model.layers.53.self_attn.q_proj - model.layers.64.self_attn.q_proj - model.layers.66.self_attn.q_proj - model.layers.62.self_attn.q_proj - model.layers.59.self_attn.q_proj - model.layers.50.self_attn.q_proj # self_attn.v_proj layers - model.layers.15.self_attn.v_proj - model.layers.16.self_attn.v_proj - model.layers.23.self_attn.v_proj - model.layers.24.self_attn.v_proj - model.layers.25.self_attn.v_proj - model.layers.26.self_attn.v_proj - model.layers.27.self_attn.v_proj - model.layers.28.self_attn.v_proj - model.layers.29.self_attn.v_proj - model.layers.30.self_attn.v_proj - model.layers.31.self_attn.v_proj - model.layers.32.self_attn.v_proj - model.layers.33.self_attn.v_proj - model.layers.34.self_attn.v_proj - model.layers.35.self_attn.v_proj - model.layers.36.self_attn.v_proj - model.layers.37.self_attn.v_proj - model.layers.38.self_attn.v_proj - model.layers.39.self_attn.v_proj - model.layers.41.self_attn.v_proj - model.layers.42.self_attn.v_proj - model.layers.48.self_attn.v_proj - model.layers.53.self_attn.v_proj - model.layers.57.self_attn.v_proj - model.layers.58.self_attn.v_proj - model.layers.59.self_attn.v_proj - model.layers.61.self_attn.v_proj - model.layers.63.self_attn.v_proj - model.layers.64.self_attn.v_proj - model.layers.65.self_attn.v_proj - model.layers.66.self_attn.v_proj - model.layers.69.self_attn.v_proj - model.layers.74.self_attn.v_proj - model.layers.75.self_attn.v_proj - model.layers.76.self_attn.v_proj - model.layers.72.self_attn.v_proj chat_template: chatml dataset_prepared_path: qwen2-72b-data val_set_size: 0.01 output_dir: qwen2-72b sequence_len: 8192 # supports up to 8192 sample_packing: true pad_to_sequence_len: true # adapter: lora # lora_model_dir: # lora_r: 32 # lora_alpha: 16 # lora_dropout: 0.05 # lora_target_linear: true # lora_fan_in_fan_out: wandb_project: qwen2-72b wandb_entity: wandb_watch: wandb_name: wandb_log_model: gradient_accumulation_steps: 8 micro_batch_size: 1 num_epochs: 3 optimizer: paged_adamw_8bit lr_scheduler: cosine learning_rate: 1e-5 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 warmup_steps: 10 evals_per_epoch: 2 eval_table_size: eval_max_new_tokens: 128 saves_per_epoch: 4 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|>" ```

# qwen2-72b This model is a fine-tuned version of [Qwen/Qwen2-72B](https://huggingface.co./Qwen/Qwen2-72B) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.4737 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - gradient_accumulation_steps: 8 - total_train_batch_size: 64 - total_eval_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 10 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.5458 | 0.0007 | 1 | 0.5673 | | 0.4634 | 0.5003 | 741 | 0.4655 | | 0.4466 | 1.0007 | 1482 | 0.4550 | | 0.3817 | 1.4835 | 2223 | 0.4587 | | 0.386 | 1.9838 | 2964 | 0.4540 | | 0.3258 | 2.4664 | 3705 | 0.4737 | ### Framework versions - Transformers 4.40.2 - Pytorch 2.2.2+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1