---
base_model: toobiza/table-transformer-stellar-vortex-81
tags:
- generated_from_trainer
model-index:
- name: MT-ancient-spaceship-83
  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. -->

# MT-ancient-spaceship-83

This model is a fine-tuned version of [toobiza/table-transformer-stellar-vortex-81](https://huggingface.co/toobiza/table-transformer-stellar-vortex-81) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1689
- Loss Ce: 0.0000
- Loss Bbox: 0.0233
- Cardinality Error: 1.0
- Giou: 97.5276

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Loss Ce | Loss Bbox | Cardinality Error | Giou    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:-----------------:|:-------:|
| 0.2656        | 0.35  | 50   | 0.1849          | 0.0000  | 0.0252    | 1.0               | 97.2490 |
| 0.2505        | 0.69  | 100  | 0.1683          | 0.0000  | 0.0231    | 1.0               | 97.4814 |
| 0.1746        | 1.04  | 150  | 0.1701          | 0.0000  | 0.0235    | 1.0               | 97.4533 |
| 0.1786        | 1.39  | 200  | 0.1864          | 0.0000  | 0.0259    | 1.0               | 97.2923 |
| 0.1148        | 1.74  | 250  | 0.1786          | 0.0000  | 0.0246    | 1.0               | 97.4046 |
| 0.234         | 2.08  | 300  | 0.1673          | 0.0000  | 0.0230    | 1.0               | 97.5302 |
| 0.1654        | 2.43  | 350  | 0.1710          | 0.0000  | 0.0235    | 1.0               | 97.4826 |
| 0.1094        | 2.78  | 400  | 0.1689          | 0.0000  | 0.0233    | 1.0               | 97.5276 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3