conplag2_modernbert_ep30_bs16_lr1e-05_l512_s42_ppy_loss – AI Model by buelfhood | AlphaNeural AI

You can deploy this model and start earning money today!

buelfhood/
conplag2_modernbert_ep30_bs16_lr1e-05_l512_s42_ppy_loss

like

0

text-classification

generated_from_trainer

answerdotai/ModernBERT-base

text-embeddings-inference

endpoints_compatible

Views

No views yet

conplag2_modernbert_ep30_bs16_lr1e-05_l512_s42_ppy_loss

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

Loss: 0.4551
Accuracy: 0.8321
Recall: 0.5526
Precision: 0.7778
F1: 0.6462
F Beta Score: 0.6067

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: 1e-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: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	Precision	F1	F Beta Score
0.5197	1.0	40	0.4727	0.7883	0.7368	0.5957	0.6588	0.6868
0.4909	2.0	80	0.4551	0.8321	0.5526	0.7778	0.6462	0.6067
0.4931	3.0	120	0.7062	0.8248	0.3947	0.9375	0.5556	0.4803
0.2275	4.0	160	0.6183	0.8467	0.5263	0.8696	0.6557	0.5991
0.3621	5.0	200	0.8842	0.8467	0.4474	1.0	0.6182	0.5390

Framework versions

Transformers 4.51.3
Pytorch 2.8.0+cu128
Datasets 3.1.0
Tokenizers 0.21.4