pre_CIDAUTv3

This model is a fine-tuned version of ricardoSLabs/pre_CIDAUTv2 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.1209
• Accuracy: 0.9841

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.8889	4	0.5177	0.7937
No log	2.0	9	0.3085	0.8889
1.0669	2.8889	13	0.2461	0.8889
1.0669	4.0	18	0.1346	0.9683
0.2558	4.4444	20	0.1209	0.9841

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0