| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: Qwen/Qwen3-4B-Instruct-2507 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - WokeAI/polititune-tankie-warmup |
| | model-index: |
| | - name: model-output |
| | 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: `0.13.0.dev0` |
| | ```yaml |
| | # === Model Configuration === |
| | base_model: Qwen/Qwen3-4B-Instruct-2507 |
| | load_in_8bit: false |
| | load_in_4bit: false |
| | |
| | # === Training Setup === |
| | num_epochs: 2 |
| | micro_batch_size: 1 |
| | gradient_accumulation_steps: 4 |
| | sequence_len: 2048 |
| | sample_packing: true |
| | pad_to_sequence_len: true |
| | |
| | # === Hyperparameter Configuration === |
| | optimizer: paged_ademamix_8bit |
| | learning_rate: 1e-5 |
| | lr_scheduler: constant |
| | weight_decay: 0.01 |
| | warmup_ratio: 0.05 |
| | cosine_min_lr_ratio: 0.1 |
| | |
| | # === Data Configuration === |
| | datasets: |
| | - path: WokeAI/polititune-tankie-warmup |
| | type: chat_template |
| | split: train |
| | chat_template: tokenizer_default |
| | |
| | dataset_prepared_path: last_run_prepared |
| | |
| | # === Hardware Optimization === |
| | gradient_checkpointing: offload |
| | |
| | # === Wandb Tracking === |
| | wandb_project: polititune-q34b-warmup |
| | |
| | # === Checkpointing === |
| | saves_per_epoch: 2 |
| | save_only_model: true |
| | |
| | # === Advanced Settings === |
| | output_dir: ./model-output |
| | bf16: auto |
| | flash_attention: true |
| | train_on_inputs: false |
| | group_by_length: false |
| | logging_steps: 1 |
| | trust_remote_code: true |
| | special_tokens: |
| | eos_token: <|im_end|> |
| | |
| | |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # model-output |
| |
|
| | This model is a fine-tuned version of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) on the WokeAI/polititune-tankie-warmup dataset. |
| |
|
| | ## 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 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 4 |
| | - optimizer: Use OptimizerNames.PAGED_ADEMAMIX_8BIT and the args are: |
| | No additional optimizer arguments |
| | - lr_scheduler_type: constant |
| | - lr_scheduler_warmup_steps: 2 |
| | - training_steps: 22 |
| |
|
| | ### Training results |
| |
|
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.57.1 |
| | - Pytorch 2.8.0+cu128 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.1 |
| |
|
