---
library_name: transformers
license: other
base_model: LiquidAI/LFM2.5-VL-1.6B
tags:
- unsloth
- generated_from_trainer
model-index:
- name: lfm-sft
  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. -->

# lfm-sft

This model is a fine-tuned version of [LiquidAI/LFM2.5-VL-1.6B](https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B) 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: 8e-05
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: warmup_stable_decay
- lr_scheduler_warmup_steps: 0.05
- num_epochs: 1.1

### Training results



### Framework versions

- Transformers 5.5.0
- Pytorch 2.10.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.2