---
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_r128_linearlr-2
  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/lyivyhl8)
# paligemma_khatt_paragraph_mix_448_ep1_r128_linearlr-2

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:
- Loss: 0.8302

## 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

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.1635        | 0.1014 | 100  | 1.1339          |
| 0.9899        | 0.2027 | 200  | 0.9917          |
| 0.7868        | 0.3041 | 300  | 0.9362          |
| 0.9343        | 0.4055 | 400  | 0.9000          |
| 0.9738        | 0.5068 | 500  | 0.8741          |
| 0.8056        | 0.6082 | 600  | 0.8583          |
| 0.9728        | 0.7096 | 700  | 0.8417          |
| 0.8998        | 0.8109 | 800  | 0.8319          |
| 0.7644        | 0.9123 | 900  | 0.8302          |


### Framework versions

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