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gradcam-xception-finetuned – AI Model by saakshigupta | AlphaNeural AI

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saakshigupta/
gradcam-xception-finetuned

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generated_from_trainer

Salesforce/blip-image-captioning-large

endpoints_compatible

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gradcam-xception-finetuned

This model is a fine-tuned version of Salesforce/blip-image-captioning-large on the None dataset.

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: 2
eval_batch_size: 2
seed: 42
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: 15
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1