swadhindas324/vit-resnet-mistral-RSICD-with-all-captioning

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vit-resnet-mistral-RSICD-with-all-captioning

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: 0.9445
• —Accuracy: 83.3
• —Bleu-1: 0.7176
• —Bleu-2: 0.5943
• —Bleu-3: 0.4976
• —Bleu-4: 0.4213
• —Meteor: 0.6975
• —Rouge-l: 0.6536
• —Cider: 2.3170

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
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 50
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 0.1
• —num_epochs: 128
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.12.1
• —Pytorch 2.12.1+cu130
• —Datasets 5.0.0
• —Tokenizers 0.22.2