florence2-parasitic-egg-detection

This model is a fine-tuned version of microsoft/Florence-2-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.9388

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

Training results

Training Loss	Epoch	Step	Validation Loss
0.8297	0.2424	200	0.9942
0.8781	0.4848	400	0.9599
0.7837	0.7273	600	0.9458
0.7298	0.9697	800	0.9388

Framework versions

• PEFT 0.18.1
• Transformers 4.45.2
• Pytorch 2.6.0+cu124
• Datasets 4.5.0
• Tokenizers 0.20.3