---
license: mit
base_model: ShaneOD2611/table-transformer-detection_finetuned_CSGO
tags:
- generated_from_trainer
model-index:
- name: table-transformer-detection_finetuned_CSGO
  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. -->

# table-transformer-detection_finetuned_CSGO

This model is a fine-tuned version of [ShaneOD2611/table-transformer-detection_finetuned_CSGO](https://huggingface.co/ShaneOD2611/table-transformer-detection_finetuned_CSGO) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3249

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9861        | 1.0   | 222  | 2.0718          |
| 1.6974        | 2.0   | 444  | 1.7959          |
| 1.4636        | 3.0   | 666  | 1.5956          |
| 1.4833        | 4.0   | 888  | 1.6272          |
| 1.4682        | 5.0   | 1110 | 1.5899          |
| 1.4169        | 6.0   | 1332 | 1.4784          |
| 1.2369        | 7.0   | 1554 | 1.4201          |
| 1.1632        | 8.0   | 1776 | 1.3718          |
| 1.1439        | 9.0   | 1998 | 1.3511          |
| 1.0676        | 10.0  | 2220 | 1.3249          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2