dudizi/he-router

<!-- 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. -->

results

This model is a fine-tuned version of dicta-il/dictabert on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.3578
• —eval_accuracy: 0.9698
• —eval_runtime: 5.3281
• —evalsamplesper_second: 434.492
• —evalstepsper_second: 6.944
• —epoch: 6.0
• —step: 870

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: 2e-05
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10
• —labelsmoothingfactor: 0.1

Framework versions

• —Transformers 4.57.1
• —Pytorch 2.8.0+cu126
• —Datasets 4.0.0
• —Tokenizers 0.22.1