jhaberbe/segformer-b0-finetuned-lipid-droplets-v5

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segformer-b0-finetuned-lipid-droplets-v5

This model is a fine-tuned version of nvidia/mit-b0 on the jhaberbe/lipid-droplets-v5 dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.3532
• —evalmeaniou: 0.0
• —evalmeanaccuracy: 0.0
• —evaloverallaccuracy: 0.0
• —evalaccuracyunlabeled: nan
• —evalaccuracylipid: 0.0
• —evalaccuracylabeled_negative: 0.0
• —evaliouunlabeled: 0.0
• —evalioulipid: 0.0
• —evalioulabeled_negative: 0.0
• —eval_runtime: 0.9807
• —evalsamplesper_second: 8.158
• —evalstepsper_second: 1.02
• —epoch: 440.0
• —step: 440

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: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 1000

Framework versions

• —Transformers 4.49.0
• —Pytorch 2.6.0+cu124
• —Datasets 3.4.1
• —Tokenizers 0.21.1