--- library_name: transformers license: apache-2.0 base_model: Qwen/Qwen2.5-1.5B-Instruct tags: - axolotl - generated_from_trainer datasets: - PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled - PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled - PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled - PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled - PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled - PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled - PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled - PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled - PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled - PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled model-index: - name: Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA-WS results: [] --- ![image/png](https://i.imgur.com/yXmjraN.png) Note: More models will be added to this comparison. ![image/png](https://i.imgur.com/cAHBQex.png) [Built with Axolotl](https://github.com/axolotl-ai-cloud/axolotl)
See axolotl config axolotl version: `0.8.0.dev0` ```yaml mlflow_tracking_uri: http://127.0.0.1:7860 mlflow_experiment_name: Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA # Hugging Face saving config hub_model_id: BeaverAI/Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA-WS hub_strategy: every_save # Model checkpointing config output_dir: ./Outputs/Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA resume_from_checkpoint: save_steps: 10 save_safetensors: true save_total_limit: 3 save_only_model: false # Model architecture config base_model: Qwen/Qwen2.5-1.5B-Instruct model_type: AutoModelForCausalLM tokenizer_type: AutoTokenizer # Mixed precision training config bf16: true fp16: false tf32: false # Model loading config load_in_8bit: false load_in_4bit: false strict: false # Sequence config sequence_len: 8192 min_sample_len: 256 sample_packing: true eval_sample_packing: false pad_to_sequence_len: true train_on_inputs: false group_by_length: false # LoRA adapter config adapter: lora lora_model_dir: lora_r: 128 lora_alpha: 128 lora_dropout: 0.125 peft_layers_to_transform: peft_use_dora: peft_use_rslora: peft_layer_replication: lora_target_modules: - gate_proj - down_proj - up_proj - q_proj - v_proj - k_proj - o_proj lora_modules_to_save: # Fix uninitialized tokens (such as <|start_header_id|> on the base L3 models) fix_untrained_tokens: # Dataset config # https://github.com/xzuyn/axolotl/blob/prompt_formats/src/axolotl/prompt_strategies/customchatml-regex-last-only.py datasets: - path: PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled split: train type: customchatml-regex-last-only - path: PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled split: train type: customchatml-regex-last-only - path: PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled split: train type: customchatml-regex-last-only - path: PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled split: train type: customchatml-regex-last-only - path: PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled split: train type: customchatml-regex-last-only - path: PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled split: train type: customchatml-regex-last-only - path: PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled split: train type: customchatml-regex-last-only - path: PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled split: train type: customchatml-regex-last-only - path: PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled split: train type: customchatml-regex-last-only - path: PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled split: train type: customchatml-regex-last-only test_datasets: - path: PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled split: test type: customchatml-regex-last-only - path: PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled split: test type: customchatml-regex-last-only - path: PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled split: test type: customchatml-regex-last-only - path: PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled split: test type: customchatml-regex-last-only - path: PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled split: test type: customchatml-regex-last-only - path: PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled split: test type: customchatml-regex-last-only - path: PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled split: test type: customchatml-regex-last-only - path: PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled split: test type: customchatml-regex-last-only - path: PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled split: test type: customchatml-regex-last-only - path: PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled split: test type: customchatml-regex-last-only val_set_size: 0 eval_strategy: steps eval_steps: 10 dataset_prepared_path: ./00-Tokenized-Datasets/Qwen2.5-QwQ-Draft-v0.2-1.5B-customchatml-regex-last-only shuffle_merged_datasets: true dataset_processes: # Training hyperparameters num_epochs: 2 gradient_accumulation_steps: 1 micro_batch_size: 16 # x4 GPUs = 64 eval_batch_size: 16 # x4 GPUs = 64 warmup_steps: 0 optimizer: came_pytorch optim_args: optim_target_modules: lr_scheduler: rex learning_rate: 2e-5 cosine_min_lr_ratio: loraplus_lr_ratio: loraplus_lr_embedding: weight_decay: 0.1 max_grad_norm: 1 logging_steps: 1 # Model optimization gradient_checkpointing: unsloth flash_attention: true plugins: - axolotl.integrations.liger.LigerPlugin - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin cut_cross_entropy: true liger_rope: true liger_rms_norm: true liger_layer_norm: true liger_glu_activation: true liger_cross_entropy: false liger_fused_linear_cross_entropy: false lora_mlp_kernel: false lora_qkv_kernel: false lora_o_kernel: false # DeepSpeed deepspeed: deepspeed_configs/zero3_bf16.json # Garbage Collection gc_steps: 1 # Debug config debug: true seed: 42 # Token config special_tokens: eos_token: "<|endoftext|>" pad_token: "<|endoftext|>" tokens: ```

# Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA-WS This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled, the PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled and the PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled datasets. It achieves the following results on the evaluation set: - Loss: 1.7920 ## 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: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - total_train_batch_size: 64 - total_eval_batch_size: 64 - optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - num_epochs: 2.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 2.7253 | 0.0036 | 1 | 2.6463 | | 2.4339 | 0.0362 | 10 | 2.3864 | | 2.2821 | 0.0725 | 20 | 2.2571 | | 2.207 | 0.1087 | 30 | 2.1771 | | 2.1213 | 0.1449 | 40 | 2.1225 | | 2.0926 | 0.1812 | 50 | 2.0870 | | 2.0274 | 0.2174 | 60 | 2.0585 | | 2.0292 | 0.2536 | 70 | 2.0338 | | 2.0057 | 0.2899 | 80 | 2.0148 | | 1.9841 | 0.3261 | 90 | 1.9975 | | 1.9639 | 0.3623 | 100 | 1.9812 | | 1.9303 | 0.3986 | 110 | 1.9688 | | 1.9527 | 0.4348 | 120 | 1.9569 | | 1.9389 | 0.4710 | 130 | 1.9459 | | 1.9008 | 0.5072 | 140 | 1.9352 | | 1.8996 | 0.5435 | 150 | 1.9259 | | 1.8849 | 0.5797 | 160 | 1.9171 | | 1.8793 | 0.6159 | 170 | 1.9105 | | 1.8748 | 0.6522 | 180 | 1.9019 | | 1.8697 | 0.6884 | 190 | 1.8959 | | 1.8777 | 0.7246 | 200 | 1.8892 | | 1.8731 | 0.7609 | 210 | 1.8833 | | 1.8358 | 0.7971 | 220 | 1.8772 | | 1.8483 | 0.8333 | 230 | 1.8729 | | 1.8567 | 0.8696 | 240 | 1.8679 | | 1.8461 | 0.9058 | 250 | 1.8632 | | 1.8436 | 0.9420 | 260 | 1.8591 | | 1.7992 | 0.9783 | 270 | 1.8545 | | 1.7925 | 1.0145 | 280 | 1.8510 | | 1.814 | 1.0507 | 290 | 1.8461 | | 1.8249 | 1.0870 | 300 | 1.8431 | | 1.7889 | 1.1232 | 310 | 1.8391 | | 1.8116 | 1.1594 | 320 | 1.8367 | | 1.7895 | 1.1957 | 330 | 1.8339 | | 1.7951 | 1.2319 | 340 | 1.8300 | | 1.7831 | 1.2681 | 350 | 1.8272 | | 1.7919 | 1.3043 | 360 | 1.8250 | | 1.7755 | 1.3406 | 370 | 1.8224 | | 1.7895 | 1.3768 | 380 | 1.8209 | | 1.7806 | 1.4130 | 390 | 1.8184 | | 1.7808 | 1.4493 | 400 | 1.8156 | | 1.7771 | 1.4855 | 410 | 1.8136 | | 1.7636 | 1.5217 | 420 | 1.8118 | | 1.7719 | 1.5580 | 430 | 1.8098 | | 1.7716 | 1.5942 | 440 | 1.8074 | | 1.7917 | 1.6304 | 450 | 1.8056 | | 1.784 | 1.6667 | 460 | 1.8035 | | 1.7846 | 1.7029 | 470 | 1.8019 | | 1.7485 | 1.7391 | 480 | 1.8002 | | 1.7381 | 1.7754 | 490 | 1.7987 | | 1.764 | 1.8116 | 500 | 1.7972 | | 1.744 | 1.8478 | 510 | 1.7964 | | 1.7673 | 1.8841 | 520 | 1.7948 | | 1.7926 | 1.9203 | 530 | 1.7935 | | 1.7843 | 1.9565 | 540 | 1.7926 | | 1.7689 | 1.9928 | 550 | 1.7920 | ### Framework versions - PEFT 0.14.0 - Transformers 4.49.0 - Pytorch 2.6.0+cu124 - Datasets 3.2.0 - Tokenizers 0.21.1