blip-finetuned-gradcam

This model is a fine-tuned version of Salesforce/blip-image-captioning-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 9.4287

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-06
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	3	9.6959
8.3512	2.0	6	9.6199
8.3512	3.0	9	9.5671
6.7447	4.0	12	9.5177
6.6894	5.0	15	9.4673
6.6894	6.0	18	9.4367
8.0605	6.8889	20	9.4287

Framework versions

• Transformers 4.50.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1