AmirMohseni/router-mmBERT-base-v1-text-only

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router-mmBERT-base-v1-text-only

This model is a fine-tuned version of jhu-clsp/mmBERT-base on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5214
• —Accuracy: 0.7443
• —Precision: 0.7398
• —Recall: 0.7443
• —F1: 0.7408

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: 8
• —evalbatchsize: 32
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.57.1
• —Pytorch 2.8.0+cu128
• —Datasets 4.2.0
• —Tokenizers 0.22.1