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NeuroBERT-Pro-finetuned-essay-evaluation – AI Model by aimoryou | AlphaNeural AI

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aimoryou/
NeuroBERT-Pro-finetuned-essay-evaluation

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text-classification

generated_from_trainer

boltuix/NeuroBERT-Pro

autotrain_compatible

endpoints_compatible

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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
eval_samples_per_second: 165.879
eval_steps_per_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
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4

Framework versions

Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1