Beans_disease_classficationv2

This model is a fine-tuned version of pwk666/Beans_disease_classficationv4 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4798
• Accuracy: 0.9219

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: 32
• seed: 1337
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0115	1.0	19	0.4415	0.9453
0.3081	2.0	38	0.2257	0.9453
0.1559	3.0	57	0.2166	0.9453

Framework versions

• Transformers 4.28.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.13.3