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---
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library_name: peft
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license: apache-2.0
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base_model: Qwen/Qwen2.5-1.5B-Instruct
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tags:
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- axolotl
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- generated_from_trainer
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datasets:
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- PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled
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- PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled
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language:
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- zho
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- eng
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- fra
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- spa
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- por
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- deu
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- ita
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- rus
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- jpn
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- kor
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- vie
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- tha
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- ara
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model-index:
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- name: Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA-WS
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results: []
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---
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Note: More models will be added to this comparison.
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.8.0.dev0`
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```yaml
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mlflow_tracking_uri: http://127.0.0.1:7860
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mlflow_experiment_name: Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA
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# Hugging Face saving config
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hub_model_id: BeaverAI/Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA-WS
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hub_strategy: every_save
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# Model checkpointing config
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output_dir: ./Outputs/Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA
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resume_from_checkpoint:
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save_steps: 10
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save_safetensors: true
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save_total_limit: 3
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save_only_model: false
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# Model architecture config
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base_model: Qwen/Qwen2.5-1.5B-Instruct
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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# Mixed precision training config
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bf16: true
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fp16: false
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tf32: false
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# Model loading config
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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# Sequence config
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sequence_len: 8192
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min_sample_len: 256
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sample_packing: true
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eval_sample_packing: false
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pad_to_sequence_len: true
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train_on_inputs: false
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group_by_length: false
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# LoRA adapter config
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adapter: lora
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lora_model_dir:
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lora_r: 128
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lora_alpha: 128
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lora_dropout: 0.125
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peft_layers_to_transform:
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peft_use_dora:
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peft_use_rslora:
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peft_layer_replication:
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lora_target_modules:
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- gate_proj
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- down_proj
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- up_proj
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- q_proj
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- v_proj
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- k_proj
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- o_proj
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lora_modules_to_save:
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# Fix uninitialized tokens (such as <|start_header_id|> on the base L3 models)
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fix_untrained_tokens:
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# Dataset config
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# https://github.com/xzuyn/axolotl/blob/prompt_formats/src/axolotl/prompt_strategies/customchatml-regex-last-only.py
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datasets:
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- path: PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled
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split: train
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type: customchatml-regex-last-only
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test_datasets:
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- path: PJMixers-Dev/allura-org_gryphe-sonnet-3.5-charcards-names-added-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/anthracite-org_c2_logs_32k_llama3_qwen2_v1.3-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/grimulkan_aicg-logs-augmented-system-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/grimulkan_jannie-log-augmented-system-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/grimulkan_PIPPA-augmented-dedup-system-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/lemonilia_LimaRP-Only-NonSus-Simple-CustomShareGPT-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/MinervaAI_Aesir-Preview-Anon-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/PocketDoc_Dans-Prosemaxx-Cowriter-XL-8192-shrunk-l3-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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- path: PJMixers-Dev/PocketDoc_Dans-Personamaxx-Rainy-qwq-all-aphrodite-Shuffled
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split: test
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type: customchatml-regex-last-only
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val_set_size: 0
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eval_strategy: steps
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eval_steps: 10
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dataset_prepared_path: ./00-Tokenized-Datasets/Qwen2.5-QwQ-Draft-v0.2-1.5B-customchatml-regex-last-only
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shuffle_merged_datasets: true
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dataset_processes:
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# Training hyperparameters
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num_epochs: 2
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gradient_accumulation_steps: 1
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micro_batch_size: 16 # x4 GPUs = 64
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eval_batch_size: 16 # x4 GPUs = 64
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warmup_steps: 0
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optimizer: came_pytorch
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optim_args:
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optim_target_modules:
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lr_scheduler: rex
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learning_rate: 2e-5
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cosine_min_lr_ratio:
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loraplus_lr_ratio:
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loraplus_lr_embedding:
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weight_decay: 0.1
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max_grad_norm: 1
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logging_steps: 1
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# Model optimization
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gradient_checkpointing: unsloth
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flash_attention: true
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plugins:
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- axolotl.integrations.liger.LigerPlugin
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- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
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cut_cross_entropy: true
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liger_rope: true
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liger_rms_norm: true
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liger_layer_norm: true
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liger_glu_activation: true
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liger_cross_entropy: false
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liger_fused_linear_cross_entropy: false
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lora_mlp_kernel: false
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lora_qkv_kernel: false
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lora_o_kernel: false
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# DeepSpeed
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deepspeed: deepspeed_configs/zero3_bf16.json
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# Garbage Collection
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gc_steps: 1
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# Debug config
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debug: true
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seed: 42
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# Token config
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special_tokens:
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eos_token: "<|endoftext|>"
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pad_token: "<|endoftext|>"
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tokens:
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```
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</details><br>
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# Qwen2.5-QwQ-RP-Draft-v0.2-1.5B-LoRA-WS
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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.
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It achieves the following results on the evaluation set:
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- Loss: 1.7920
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 64
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- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- num_epochs: 2.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.7253 | 0.0036 | 1 | 2.6463 |
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| 2.4339 | 0.0362 | 10 | 2.3864 |
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| 2.2821 | 0.0725 | 20 | 2.2571 |
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| 2.207 | 0.1087 | 30 | 2.1771 |
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| 2.1213 | 0.1449 | 40 | 2.1225 |
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| 2.0926 | 0.1812 | 50 | 2.0870 |
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| 2.0274 | 0.2174 | 60 | 2.0585 |
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| 2.0292 | 0.2536 | 70 | 2.0338 |
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| 2.0057 | 0.2899 | 80 | 2.0148 |
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| 1.9841 | 0.3261 | 90 | 1.9975 |
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| 1.9639 | 0.3623 | 100 | 1.9812 |
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| 1.9303 | 0.3986 | 110 | 1.9688 |
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| 1.9527 | 0.4348 | 120 | 1.9569 |
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| 1.9389 | 0.4710 | 130 | 1.9459 |
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| 1.9008 | 0.5072 | 140 | 1.9352 |
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| 1.8996 | 0.5435 | 150 | 1.9259 |
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| 1.8849 | 0.5797 | 160 | 1.9171 |
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| 1.8793 | 0.6159 | 170 | 1.9105 |
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| 1.8748 | 0.6522 | 180 | 1.9019 |
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| 1.8697 | 0.6884 | 190 | 1.8959 |
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| 1.8777 | 0.7246 | 200 | 1.8892 |
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| 1.8731 | 0.7609 | 210 | 1.8833 |
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| 1.8358 | 0.7971 | 220 | 1.8772 |
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| 1.8483 | 0.8333 | 230 | 1.8729 |
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| 1.8567 | 0.8696 | 240 | 1.8679 |
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| 1.8461 | 0.9058 | 250 | 1.8632 |
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| 1.8436 | 0.9420 | 260 | 1.8591 |
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| 1.7992 | 0.9783 | 270 | 1.8545 |
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| 1.7925 | 1.0145 | 280 | 1.8510 |
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| 1.814 | 1.0507 | 290 | 1.8461 |
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| 1.8249 | 1.0870 | 300 | 1.8431 |
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| 1.7889 | 1.1232 | 310 | 1.8391 |
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| 1.8116 | 1.1594 | 320 | 1.8367 |
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| 1.7895 | 1.1957 | 330 | 1.8339 |
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| 1.7951 | 1.2319 | 340 | 1.8300 |
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| 1.7831 | 1.2681 | 350 | 1.8272 |
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| 1.7919 | 1.3043 | 360 | 1.8250 |
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| 1.7755 | 1.3406 | 370 | 1.8224 |
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| 1.7895 | 1.3768 | 380 | 1.8209 |
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| 1.7806 | 1.4130 | 390 | 1.8184 |
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| 1.7808 | 1.4493 | 400 | 1.8156 |
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| 1.7771 | 1.4855 | 410 | 1.8136 |
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| 1.7636 | 1.5217 | 420 | 1.8118 |
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| 1.7719 | 1.5580 | 430 | 1.8098 |
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| 1.7716 | 1.5942 | 440 | 1.8074 |
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| 1.7917 | 1.6304 | 450 | 1.8056 |
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| 1.784 | 1.6667 | 460 | 1.8035 |
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| 1.7846 | 1.7029 | 470 | 1.8019 |
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| 1.7485 | 1.7391 | 480 | 1.8002 |
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| 1.7381 | 1.7754 | 490 | 1.7987 |
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| 1.764 | 1.8116 | 500 | 1.7972 |
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| 1.744 | 1.8478 | 510 | 1.7964 |
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| 1.7673 | 1.8841 | 520 | 1.7948 |
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| 1.7926 | 1.9203 | 530 | 1.7935 |
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| 1.7843 | 1.9565 | 540 | 1.7926 |
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| 1.7689 | 1.9928 | 550 | 1.7920 |
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.49.0
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- Pytorch 2.6.0+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.1 |
