---
base_model: google/paligemma-3b-mix-448
datasets:
- khatt-paragraphs
library_name: peft
license: gemma
tags:
- generated_from_trainer
model-index:
- name: paligemma_khatt_paragraph_mix_448_ep1_r256
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ahmed-heakl/huggingface/runs/uh9bx3mw)
# paligemma_khatt_paragraph_mix_448_ep1_r256

This model is a fine-tuned version of [google/paligemma-3b-mix-448](https://huggingface.co/google/paligemma-3b-mix-448) on the khatt-paragraphs dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.8460
- eval_runtime: 174.2847
- eval_samples_per_second: 0.287
- eval_steps_per_second: 0.287
- epoch: 0.4055
- step: 400

## 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: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 1

### Framework versions

- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1