pre_CIDAUTv1

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

• Loss: 0.6832
• Accuracy: 0.5741

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	1.0	4	1.0035	0.5741
No log	2.0	8	0.7069	0.4583
1.3203	3.0	12	0.6761	0.5741
1.3203	4.0	16	0.6869	0.5741
0.6943	5.0	20	0.6832	0.5741

Framework versions

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