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AsmaMassad/swin-aragpt2-image-captioning-v3

sourceHugging Faceupdated 3y agoView on Hugging Face
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swin-aragpt2-image-captioning-v3

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1743
  • Rouge1: 0.0
  • Rouge2: 0.0
  • Rougel: 0.0
  • Rougelsum: 0.0
  • Meteor: 5.02
  • Bleu1: 8.5611
  • Bleu2: 2.9273
  • Bleu3: 1.1796
  • Bleu4: 0.4618

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: 1.5e-06
  • trainbatchsize: 32
  • evalbatchsize: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 20

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumMeteorBleu1Bleu2Bleu3Bleu4
1.57754.7150001.23860.00.00.00.01.912.69081.08040.39640.1282
1.24469.42100001.19850.00.00.00.05.098.45492.95561.27560.4817
1.191914.12150001.17920.00.00.00.05.49.07222.93431.18870.4748
1.166918.83200001.17430.00.00.00.05.028.56112.92731.17960.4618

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3