BLIP_Captioning / README.md
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metadata
library_name: transformers
license: bsd-3-clause
base_model: Salesforce/blip-image-captioning-base
tags:
  - generated_from_trainer
model-index:
  - name: BLIP_Captioning
    results: []

BLIP_Captioning

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

  • Loss: 0.0001

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: 0.0001
  • train_batch_size: 16
  • eval_batch_size: 1
  • 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
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.0023 0.9634 1500 0.0006
0.0012 1.9268 3000 0.0014
0.0007 2.8902 4500 0.0005
0.0006 3.8536 6000 0.0001
0.0002 4.8170 7500 0.0001

Framework versions

  • Transformers 4.55.4
  • Pytorch 2.5.1+cu121
  • Tokenizers 0.21.4