metadata
library_name: peft
license: apache-2.0
base_model: vikhyatk/moondream2
tags:
- base_model:adapter:vikhyatk/moondream2
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: moondream2-drainage-lora
results: []
moondream2-drainage-lora
This model is a fine-tuned version of vikhyatk/moondream2 on the None 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: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.17.0
- Transformers 4.54.1
- Pytorch 2.7.1+cu128
- Datasets 2.19.1
- Tokenizers 0.21.4