---
library_name: peft
license: gemma
base_model: google/paligemma2-3b-pt-448
tags:
- base_model:adapter:google/paligemma2-3b-pt-448
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: paligemma_ft_new_2207_4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# paligemma_ft_new_2207_4

This model is a fine-tuned version of [google/paligemma2-3b-pt-448](https://huggingface.co/google/paligemma2-3b-pt-448) 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 5

### Training results



### Framework versions

- PEFT 0.16.0
- Transformers 4.54.0.dev0
- Pytorch 2.2.2
- Datasets 4.0.0
- Tokenizers 0.21.2