---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- beyond_words_23
base_model: facebook/detr-resnet-50
model-index:
- name: detr-resnet-50_find_tuned_beyond_words
  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-resnet-50_find_tuned_beyond_words

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the beyond_words_23 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9310

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7439        | 0.56  | 100  | 2.2690          |
| 1.7644        | 1.12  | 200  | 1.5053          |
| 1.557         | 1.69  | 300  | 1.3136          |
| 1.3207        | 2.25  | 400  | 1.2063          |
| 1.3705        | 2.81  | 500  | 1.2007          |
| 1.1924        | 3.37  | 600  | 1.2704          |
| 1.2604        | 3.93  | 700  | 1.1784          |
| 1.1982        | 4.49  | 800  | 1.1167          |
| 1.1912        | 5.06  | 900  | 1.1562          |
| 1.1206        | 5.62  | 1000 | 1.2124          |
| 1.1344        | 6.18  | 1100 | 1.0622          |
| 1.1388        | 6.74  | 1200 | 1.0425          |
| 1.0124        | 7.3   | 1300 | 0.9908          |
| 1.0776        | 7.87  | 1400 | 1.1182          |
| 0.9614        | 8.43  | 1500 | 0.9967          |
| 1.0136        | 8.99  | 1600 | 0.8933          |
| 1.0206        | 9.55  | 1700 | 0.9354          |
| 0.9529        | 10.11 | 1800 | 0.9751          |
| 1.0126        | 10.67 | 1900 | 0.9310          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2