mo-thecreator/ViT-GPT2-Image-Captioning

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ViT-GPT2

This model is a fine-tuned version of motheecreator/ViT-GPT2-Image_Captioning_model on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.125337
• —Rouge2 Precision: None
• —Rouge2 Recall: None
• —Rouge2 Fmeasure: 0.155
• —Bleu: 9.7054

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
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 256
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.0
• —Datasets 3.0.0
• —Tokenizers 0.19.1