ToastyPigeon
/

qwen3-30b-noised-iter1

@@ -1,202 +1,212 @@
 ---
-base_model: Columbidae/Qwen3-30B-A3B-Noisy
 library_name: peft
 ---
-# Model Card for Model ID
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-## Model Details
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 ### Framework versions
-- PEFT 0.15.2

 ---
 library_name: peft
+license: apache-2.0
+base_model: Columbidae/Qwen3-30B-A3B-Noisy
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- ToastyPigeon/mixed-data-for-qwen
+model-index:
+- name: qwen3-30b-noised-iter1
+  results: []
 ---
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+[<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)
+<details><summary>See axolotl config</summary>
+axolotl version: `0.10.0.dev0`
+```yaml
+# === Start-up Commands ===
+# curl -LsSf https://astral.sh/uv/install.sh | sh
+# export PATH="$HOME/.local/bin:$PATH"
+# uv venv
+# source .venv/bin/activate
+# git clone https://github.com/axolotl-ai-cloud/axolotl
+# cd axolotl
+# uv pip install torch==2.5.1 packaging ninja setuptools ftfy deepspeed huggingface_hub[cli,hf_transfer]
+# uv pip install "cut-cross-entropy[transformers] @ git+https://github.com/strangedove/ml-cross-entropy.git@gemma3-multimodal"
+# uv pip install apollo-torch
+# uv pip install --no-build-isolation -e .[flash-attn]
+# uv pip install git+https://github.com/huggingface/transformers.git
+# uv pip install git+https://github.com/linkedin/Liger-Kernel.git
+# export HF_HUB_ENABLE_HF_TRANSFER=1
+# huggingface-cli login --token $hf_key && wandb login $wandb_key
+# apt update && apt install -y libopenmpi-dev && curl -LsSf https://astral.sh/uv/install.sh | sh && export PATH="$HOME/.local/bin:$PATH" && git clone https://github.com/axolotl-ai-cloud/axolotl && uv venv && source .venv/bin/activate && cd axolotl && uv pip install torch==2.5.1 packaging ninja mpi4py setuptools ftfy deepspeed huggingface_hub[cli,hf_transfer] && uv pip install apollo-torch && uv pip install "cut-cross-entropy[transformers] @ git+https://github.com/strangedove/ml-cross-entropy.git@qwen3" && uv pip install git+https://github.com/linkedin/Liger-Kernel.git && uv pip install --no-build-isolation -e .[flash-attn] && uv pip install git+https://github.com/huggingface/transformers.git && export HF_HUB_ENABLE_HF_TRANSFER=1 && cd .. && huggingface-cli login --token $hf_key && wandb login $wandb_key
+# === Model Configuration ===
+base_model: Columbidae/Qwen3-30B-A3B-Noisy
+load_in_8bit: false
+load_in_4bit: true
+# === HF Configuration ===
+hub_model_id: ToastyPigeon/qwen3-30b-noised-iter1
+hub_strategy: "every_save"
+# === Training Setup ===
+num_epochs: 1
+micro_batch_size: 4
+gradient_accumulation_steps: 2
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+# === Evaluation ===
+val_set_size: 300
+evals_per_epoch: 10
+#eval_table_size:
+eval_max_new_tokens: 256
+eval_sample_packing: true
+#eval_strategy: "no"
+# === LoRA Configuration ===
+adapter: lora
+lora_model_dir:
+lora_r: 32
+lora_alpha: 32
+lora_dropout: 0
+lora_target_linear:
+lora_fan_in_fan_out:
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+#lora_mlp_kernel: true
+#lora_qkv_kernel: true
+#lora_o_kernel: true
+# === Hyperparameter Configuration ===
+#optimizer: apollo_adamw_layerwise
+optimizer: paged_adamw_8bit
+# Apollo-mini configuration:
+#optim_args: "proj=random,rank=1,scale=128.0,scale_type=tensor,update_proj_gap=200"
+# Regular Apollo configuration:
+# optim_args:
+#optim_target_modules: all_linear
+learning_rate: 1e-5
+lr_scheduler: rex
+weight_decay: 0.01
+warmup_steps: 0
+#warmup_ratio: 0.05
+# === Data Configuration ===
+#chat_template: jinja
+#chat_template_jinja: "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}"
+#special_tokens:
+#  eos_token: "<end_of_turn>"
+shuffle_merged_datasets: true
+datasets:
+  - path: ToastyPigeon/mixed-data-for-qwen
+    type: chat_template
+    data_files: mixed_data_for_qwen_part1.json
+dataset_prepared_path: last_run_prepared
+# === Plugins ===
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
+# === Hardware Optimization ===
+gradient_checkpointing: true
+#gradient_checkpointing_kwargs:
+#  use_reentrant: true
+liger_rope: true
+liger_rms_norm: true
+liger_glu_activation: true
+#liger_fused_linear_cross_entropy: true
+#unsloth_cross_entropy_loss: true
+cut_cross_entropy: true
+# Only if using multiple GPUs:
+#deepspeed: axolotl/deepspeed_configs/zero2.json
+# === Wandb Tracking ===
+wandb_project: Qwen3MoE
+# wandb_entity: [WANDB_ENTITY]
+# wandb_name: [WANDB_RUN_NAME]
+# === Checkpointing ===
+saves_per_epoch: 10
+save_total_limit: 1
+# === Advanced Settings ===
+output_dir: ./ckpts
+bf16: auto
+flash_attention: true
+train_on_inputs: false
+group_by_length: false
+save_safetensors: true
+logging_steps: 1
+gc_steps: 10
+seed: 69
+```
+</details><br>
+# qwen3-30b-noised-iter1
+This model is a fine-tuned version of [Columbidae/Qwen3-30B-A3B-Noisy](https://huggingface.co/Columbidae/Qwen3-30B-A3B-Noisy) on the ToastyPigeon/mixed-data-for-qwen dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6300
+## 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: 4
+- eval_batch_size: 4
+- seed: 69
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- num_epochs: 1.0
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.7597        | 0.0035 | 1    | 0.8862          |
+| 0.9744        | 0.1019 | 29   | 0.7604          |
+| 0.8101        | 0.2039 | 58   | 0.6862          |
+| 0.7025        | 0.3058 | 87   | 0.6667          |
+| 0.6058        | 0.4077 | 116  | 0.6552          |
+| 0.5499        | 0.5097 | 145  | 0.6466          |
+| 0.494         | 0.6116 | 174  | 0.6404          |
+| 0.6           | 0.7135 | 203  | 0.6358          |
+| 0.7872        | 0.8155 | 232  | 0.6325          |
+| 0.7281        | 0.9174 | 261  | 0.6300          |
 ### Framework versions
+- PEFT 0.15.2
+- Transformers 4.52.0.dev0
+- Pytorch 2.5.1+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1