---
library_name: transformers
license: apache-2.0
base_model: google/pix2struct-textcaps-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Pix2StructCzechInvoiceV0R
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Pix2StructCzechInvoiceV0R

This model is a fine-tuned version of [google/pix2struct-textcaps-base](https://huggingface.co/google/pix2struct-textcaps-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3507
- Accuracy: 0.7117
- F1: 0.4741

## 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-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 2.3226        | 1.0   | 150  | 2.3375          | 0.0117   | 0.0    |
| 0.9378        | 2.0   | 300  | 1.0392          | 0.0289   | 0.0    |
| 0.7639        | 3.0   | 450  | 0.9131          | 0.0      | 0.0    |
| 0.5096        | 4.0   | 600  | 0.6851          | 0.5907   | 0.4268 |
| 0.2828        | 5.0   | 750  | 0.4679          | 0.6683   | 0.4740 |
| 0.1613        | 6.0   | 900  | 0.3983          | 0.0      | 0.0    |
| 0.0946        | 7.0   | 1050 | 0.3642          | 0.0      | 0.0    |
| 0.0693        | 8.0   | 1200 | 0.3507          | 0.7117   | 0.4741 |
| 0.0590        | 9.0   | 1350 | 0.3610          | 0.7013   | 0.4578 |
| 0.0498        | 10.0  | 1500 | 0.3624          | 0.0      | 0.0    |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2