deprem-ml/deprem_satellite_semantic_whu

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

depremsatellitesemantic_whu

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.0692
• —evalmeaniou: 0.8739
• —evalmeanaccuracy: 0.9277
• —evaloverallaccuracy: 0.9786
• —evalaccuracybackground: 0.9888
• —evalaccuracybuilding: 0.8665
• —evalioubackground: 0.9770
• —evalioubuilding: 0.7708
• —eval_runtime: 124.6705
• —evalsamplesper_second: 4.011
• —evalstepsper_second: 4.011
• —step: 0

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: 6e-05
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1

Framework versions

• —Transformers 4.27.0.dev0
• —Pytorch 1.13.1+cu116
• —Datasets 2.9.0
• —Tokenizers 0.13.2