---
library_name: transformers
base_model: apkonsta/table-transformer-detection-ifrs
tags:
- generated_from_trainer
model-index:
- name: detr_finetuned
  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. -->

# detr_finetuned

This model is a fine-tuned version of [apkonsta/table-transformer-detection-ifrs](https://huggingface.co/apkonsta/table-transformer-detection-ifrs) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4914.5493

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4887.0844     | 0.2381 | 100  | 4915.8008       |
| 4806.7622     | 0.4762 | 200  | 4915.0762       |
| 4883.3641     | 0.7143 | 300  | 4914.7651       |
| 4869.7525     | 0.9524 | 400  | 4914.6387       |
| 4809.9978     | 1.1905 | 500  | 4914.6133       |
| 4820.81       | 1.4286 | 600  | 4914.6948       |
| 4779.5872     | 1.6667 | 700  | 4914.6743       |
| 5094.1991     | 1.9048 | 800  | 4914.5752       |
| 4851.7441     | 2.1429 | 900  | 4914.6494       |
| 4928.8484     | 2.3810 | 1000 | 4914.5767       |
| 4852.6178     | 2.6190 | 1100 | 4914.5840       |
| 4855.8131     | 2.8571 | 1200 | 4914.5991       |
| 4948.5747     | 3.0952 | 1300 | 4914.5967       |
| 4887.945      | 3.3333 | 1400 | 4914.5645       |
| 4900.1669     | 3.5714 | 1500 | 4914.5747       |
| 4937.1328     | 3.8095 | 1600 | 4914.5571       |
| 4792.3219     | 4.0476 | 1700 | 4914.6787       |
| 4842.8072     | 4.2857 | 1800 | 4914.5640       |
| 4914.0503     | 4.5238 | 1900 | 4914.6113       |
| 4892.0153     | 4.7619 | 2000 | 4914.5693       |
| 4882.0288     | 5.0    | 2100 | 4914.5630       |
| 4903.9891     | 5.2381 | 2200 | 4914.5679       |
| 4870.5566     | 5.4762 | 2300 | 4914.5688       |
| 4919.3287     | 5.7143 | 2400 | 4914.5508       |
| 4927.9272     | 5.9524 | 2500 | 4914.5488       |
| 4981.8925     | 6.1905 | 2600 | 4914.5537       |
| 4864.6322     | 6.4286 | 2700 | 4914.5835       |
| 4794.4006     | 6.6667 | 2800 | 4914.5820       |
| 4878.885      | 6.9048 | 2900 | 4914.5488       |
| 4967.0887     | 7.1429 | 3000 | 4914.5518       |
| 4937.0766     | 7.3810 | 3100 | 4914.5464       |
| 4829.3891     | 7.6190 | 3200 | 4914.5493       |
| 4812.0778     | 7.8571 | 3300 | 4914.5459       |
| 4823.5034     | 8.0952 | 3400 | 4914.5444       |
| 4919.2544     | 8.3333 | 3500 | 4914.5474       |
| 4838.375      | 8.5714 | 3600 | 4914.5581       |
| 4832.6153     | 8.8095 | 3700 | 4914.5513       |
| 4787.5813     | 9.0476 | 3800 | 4914.5464       |
| 4862.2234     | 9.2857 | 3900 | 4914.5464       |
| 4878.2669     | 9.5238 | 4000 | 4914.5474       |
| 4933.3856     | 9.7619 | 4100 | 4914.5488       |
| 4945.8159     | 10.0   | 4200 | 4914.5493       |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0