metadata
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: []
Pix2StructCzechInvoiceV0R
This model is a fine-tuned version of 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