Model save

README.md

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+---
+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

model.safetensors

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runs/Mar27_18-13-27_acccecfffd25/events.out.tfevents.1774637767.acccecfffd25.3363.1

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