---
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- image-regression
- human-movement
- vision
- generated_from_trainer
model-index:
- name: target_hold_hands
  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. -->

# target_hold_hands

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the c14kevincardenas/beta_caller_284_target_hold_hands dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6006
- Iou: 0.0000

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 2014
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 20.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Iou    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.957         | 1.0   | 52   | 0.8557          | 0.0    |
| 0.7261        | 2.0   | 104  | 0.6803          | 0.0000 |
| 0.6689        | 3.0   | 156  | 0.6545          | 0.0000 |
| 0.7126        | 4.0   | 208  | 0.7020          | 0.0000 |
| 0.6688        | 5.0   | 260  | 0.6712          | 0.0000 |
| 0.7126        | 6.0   | 312  | 0.6633          | 0.0000 |
| 0.6633        | 7.0   | 364  | 0.6083          | 0.0000 |
| 0.6113        | 8.0   | 416  | 0.6061          | 0.0000 |
| 0.6101        | 9.0   | 468  | 0.6027          | 0.0000 |
| 0.6028        | 10.0  | 520  | 0.6007          | 0.0    |
| 0.5983        | 11.0  | 572  | 0.6019          | 0.0000 |
| 0.6014        | 12.0  | 624  | 0.6006          | 0.0000 |
| 0.5968        | 13.0  | 676  | 0.6014          | 0.0000 |
| 0.5932        | 14.0  | 728  | 0.6021          | 0.0000 |
| 0.592         | 15.0  | 780  | 0.6047          | 0.0    |
| 0.5935        | 16.0  | 832  | 0.6020          | 0.0000 |
| 0.5873        | 17.0  | 884  | 0.6026          | 0.0000 |
| 0.5853        | 18.0  | 936  | 0.6115          | 0.0000 |
| 0.5835        | 19.0  | 988  | 0.6087          | 0.0000 |
| 0.5868        | 20.0  | 1040 | 0.6076          | 0.0000 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1