---
base_model: jozhang97/deta-resnet-50
tags:
- generated_from_trainer
datasets:
- blood-cell-object-detection
model-index:
- name: deta-resnet-50_finetuned_blood_cell_10epochs
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# deta-resnet-50_finetuned_blood_cell_10epochs

This model is a fine-tuned version of [jozhang97/deta-resnet-50](https://huggingface.co/jozhang97/deta-resnet-50) on the blood-cell-object-detection 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: 2
- 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

### Training results



### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1