| ---
|
| library_name: peft
|
| license: other
|
| base_model: unsloth/LFM2-350M
|
| tags:
|
| - generated_from_trainer
|
| model-index:
|
| - name: LFM2-350M-hugcoder
|
| 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. --> |
|
|
| # LFM2-350M-hugcoder |
|
|
| This model is a fine-tuned version of [unsloth/LFM2-350M](https://huggingface.co/unsloth/LFM2-350M) on an unknown 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: 0.0001 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 8 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - training_steps: 5 |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.15.2 |
| - Transformers 4.57.5 |
| - Pytorch 2.9.1+cu126 |
| - Datasets 3.6.0 |
| - Tokenizers 0.22.1 |
