modernbert-user-53003 – AI Model by matiashoyl | AlphaNeural AI

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matiashoyl/
modernbert-user-53003

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text-classification

generated_from_trainer

answerdotai/ModernBERT-base

autotrain_compatible

endpoints_compatible

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modernbert-user-53003

This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6808
Accuracy: 0.8368
F1: 0.8073

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5442	1.0	190	0.3972	0.8632	0.7998
0.506	2.0	380	0.5497	0.8632	0.7998
0.3807	3.0	570	0.5650	0.8632	0.7998
0.5572	4.0	760	0.6393	0.8632	0.7998
0.4048	5.0	950	0.6268	0.8632	0.7998
0.5446	6.0	1140	0.6856	0.8	0.7888
0.3903	7.0	1330	0.6003	0.8	0.7842
0.3494	8.0	1520	0.6808	0.8368	0.8073
0.2335	9.0	1710	0.9311	0.8	0.7888
0.3504	10.0	1900	1.0633	0.8	0.7888

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.6.0
Datasets 3.3.1
Tokenizers 0.21.0