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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: Qwen/Qwen2.5-Coder-14B |
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tags: |
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- generated_from_trainer |
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datasets: |
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- winglian/gpumode-py2triton-reasoning |
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model-index: |
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- name: outputs/out-fft |
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results: [] |
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--- |
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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` |
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```yaml |
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base_model: Qwen/Qwen2.5-Coder-14B |
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strict: false |
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plugins: |
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- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin |
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- axolotl.integrations.liger.LigerPlugin |
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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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# gemma3 doesn't seem to play nice with ddp |
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ddp_find_unused_parameters: true |
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chat_template: qwen_25 |
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datasets: |
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- path: winglian/gpumode-py2triton-reasoning |
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type: chat_template |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.0 |
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output_dir: ./outputs/out-fft |
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save_safetensors: true |
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save_only_model: true |
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sequence_len: 32768 |
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sample_packing: true |
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pad_to_sequence_len: true |
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sequence_parallel_degree: 1 |
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# unfrozen_parameters: |
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# - language_model.model |
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wandb_project: qwen25-kernel-llm |
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wandb_entity: axolotl-ai |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 1 |
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micro_batch_size: 3 |
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num_epochs: 3 |
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optimizer: adamw_8bit |
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lr_scheduler: rex |
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learning_rate: 3.0e-6 |
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lr_groups: |
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- name: embeddings |
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lr: 3.0e-5 |
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modules: |
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- lm_head |
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- embed_tokens |
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train_on_inputs: false |
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group_by_length: false |
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bf16: true |
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tf32: true |
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gradient_checkpointing: true |
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gradient_checkpointing_kwargs: |
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use_reentrant: false |
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logging_steps: 1 |
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flash_attention: true |
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warmup_ratio: 0.1 |
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evals_per_epoch: 1 |
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saves_per_epoch: 1 |
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# deepspeed: deepspeed_configs/zero1.json |
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weight_decay: 0.0 |
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deepspeed: deepspeed_configs/zero1.json |
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tokens: |
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- <think> |
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- </think> |
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special_tokens: |
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eos_token: <|im_end|> |
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fix_untrained_tokens: |
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- 151665 |
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- 151666 |
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``` |
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</details><br> |
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# outputs/out-fft |
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This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-14B](https://huggingface.co/Qwen/Qwen2.5-Coder-14B) on the winglian/gpumode-py2triton-reasoning dataset. |
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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: 3e-06 |
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- train_batch_size: 3 |
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- eval_batch_size: 3 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 24 |
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- total_eval_batch_size: 24 |
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- optimizer: Use OptimizerNames.ADAMW_8BIT 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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- lr_scheduler_warmup_steps: 27 |
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- num_epochs: 3.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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