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detr-resnet-50-brain-hack

Object Detection
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detr
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detr-resnet-50-brain-hack / README.md
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metadata
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
  - generated_from_trainer
datasets:
  - facebook/detr-resnet-50
model-index:
  - name: DETR Resnet fine tuned with BrainHack dataset
    results: []

DETR Resnet fine tuned with BrainHack dataset

This model is a fine-tuned version of facebook/detr-resnet-50 on the BrainHack VLM dataset.

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: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu118
  • Datasets 2.19.1
  • Tokenizers 0.19.1