aimoryou/NeuroBERT-Pro-finetuned-essay-evaluation

<!-- 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. -->

NeuroBERT-Pro-finetuned-essay-evaluation

This model is a fine-tuned version of boltuix/NeuroBERT-Pro on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: 1.0148
• —eval_f1: 0.5854
• —eval_runtime: 13.5641
• —evalsamplesper_second: 165.879
• —evalstepsper_second: 10.395
• —epoch: 3.0
• —step: 1689

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: 16
• —evalbatchsize: 16
• —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: 4

Framework versions

• —Transformers 4.52.3
• —Pytorch 2.6.0+cu124
• —Datasets 3.6.0
• —Tokenizers 0.21.1