---
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