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GIT_inf_w_bbox_caption_ep5

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metadata
license: mit
base_model: microsoft/git-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: GIT_inf_w_bbox_caption_ep5
    results: []

GIT_inf_w_bbox_caption_ep5

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

  • Loss: 0.0748
  • Rouge1: 7.4067
  • Rouge2: 3.0184
  • Rougel: 6.6214
  • Rougelsum: 6.6313
  • Gen Len: 215.256

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: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.0794 1.0 777 0.0800 6.7935 2.5273 6.016 6.0274 215.258
0.0704 2.0 1554 0.0774 6.861 2.638 6.1681 6.1833 215.258
0.0637 3.0 2331 0.0761 7.1364 2.862 6.4308 6.4446 215.258
0.0595 4.0 3108 0.0750 7.2911 2.9116 6.5386 6.5461 215.258
0.0544 5.0 3885 0.0748 7.4067 3.0184 6.6214 6.6313 215.256

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2