metadata
library_name: transformers
license: mit
base_model: microsoft/table-transformer-detection
tags:
- generated_from_trainer
model-index:
- name: DertInvoiceCzech
results: []
DertInvoiceCzech
This model is a fine-tuned version of microsoft/table-transformer-detection on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.0877
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 2
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 38 | 8.9100 |
| No log | 2.0 | 76 | 8.6387 |
| No log | 3.0 | 114 | 8.2508 |
| No log | 4.0 | 152 | 7.7641 |
| No log | 5.0 | 190 | 7.2348 |
| No log | 6.0 | 228 | 7.0283 |
| No log | 7.0 | 266 | 6.8791 |
| No log | 8.0 | 304 | 6.7655 |
| No log | 9.0 | 342 | 6.6748 |
| No log | 10.0 | 380 | 6.6063 |
| No log | 11.0 | 418 | 6.5481 |
| No log | 12.0 | 456 | 6.4950 |
| No log | 13.0 | 494 | 6.4460 |
| 7.372 | 14.0 | 532 | 6.4030 |
| 7.372 | 15.0 | 570 | 6.3710 |
| 7.372 | 16.0 | 608 | 6.3404 |
| 7.372 | 17.0 | 646 | 6.3093 |
| 7.372 | 18.0 | 684 | 6.2916 |
| 7.372 | 19.0 | 722 | 6.2786 |
| 7.372 | 20.0 | 760 | 6.2660 |
| 7.372 | 21.0 | 798 | 6.2440 |
| 7.372 | 22.0 | 836 | 6.2129 |
| 7.372 | 23.0 | 874 | 6.2026 |
| 7.372 | 24.0 | 912 | 6.1897 |
| 7.372 | 25.0 | 950 | 6.1778 |
| 7.372 | 26.0 | 988 | 6.1668 |
| 6.3365 | 27.0 | 1026 | 6.1562 |
| 6.3365 | 28.0 | 1064 | 6.1451 |
| 6.3365 | 29.0 | 1102 | 6.1313 |
| 6.3365 | 30.0 | 1140 | 6.1220 |
| 6.3365 | 31.0 | 1178 | 6.1164 |
| 6.3365 | 32.0 | 1216 | 6.1105 |
| 6.3365 | 33.0 | 1254 | 6.1038 |
| 6.3365 | 34.0 | 1292 | 6.1002 |
| 6.3365 | 35.0 | 1330 | 6.0966 |
| 6.3365 | 36.0 | 1368 | 6.0935 |
| 6.3365 | 37.0 | 1406 | 6.0926 |
| 6.3365 | 38.0 | 1444 | 6.0905 |
| 6.3365 | 39.0 | 1482 | 6.0892 |
| 6.1779 | 40.0 | 1520 | 6.0877 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2