---
license: apache-2.0
base_model: microsoft/conditional-detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: conditional-detr-resnet-50_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. -->

# conditional-detr-resnet-50_finetuned_CSGO

This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](https://huggingface.co/microsoft/conditional-detr-resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6509

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7831        | 1.0   | 222  | 1.7830          |
| 1.191         | 2.0   | 444  | 1.1566          |
| 1.0365        | 3.0   | 666  | 1.0696          |
| 0.975         | 4.0   | 888  | 1.0674          |
| 0.9028        | 5.0   | 1110 | 0.9627          |
| 0.7875        | 6.0   | 1332 | 0.8937          |
| 0.6364        | 7.0   | 1554 | 0.7561          |
| 0.6012        | 8.0   | 1776 | 0.7053          |
| 0.5471        | 9.0   | 1998 | 0.6739          |
| 0.4852        | 10.0  | 2220 | 0.6509          |


### Framework versions

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