README.md

---
library_name: transformers
license: apache-2.0
base_model: google/siglip2-so400m-patch16-naflex
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: train_dit02_initials_3cat_cls_3.5k_naflex-r2
  results: []
---

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# train_dit02_initials_3cat_cls_3.5k_naflex-r2

This model is a fine-tuned version of [google/siglip2-so400m-patch16-naflex](https://huggingface.co/google/siglip2-so400m-patch16-naflex) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6956
- Accuracy: 0.6418
- Precision: 0.6396
- Recall: 0.6418
- F1: 0.6307
- Roc Auc: 0.7587

## 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: 5e-06
- train_batch_size: 96
- eval_batch_size: 96
- seed: 1337
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Roc Auc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
| 0.184         | 3.125 | 100  | 0.3170          | 0.6754   | 0.6694    | 0.6754 | 0.6569 | 0.7862  |
| 0.038         | 6.25  | 200  | 0.5170          | 0.6474   | 0.6700    | 0.6474 | 0.6422 | 0.7691  |
| 0.013         | 9.375 | 300  | 0.6968          | 0.6474   | 0.6423    | 0.6474 | 0.6346 | 0.7590  |


### Framework versions

- Transformers 4.56.2
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1