ModernBERT-largemhr2004-atomic-neg-bal1e-06-64 – AI Model by mhr2004 | AlphaNeural AI

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mhr2004/
ModernBERT-largemhr2004-atomic-neg-bal1e-06-64

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text-classification

generated_from_trainer

answerdotai/ModernBERT-large

autotrain_compatible

endpoints_compatible

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ModernBERT-largemhr2004-atomic-neg-bal1e-06-64

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

Loss: 0.3867

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-06
train_batch_size: 256
eval_batch_size: 1024
seed: 42
optimizer: Use 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
0.5253	1.0	795	0.5324
0.4545	2.0	1590	0.4699
0.4451	3.0	2385	0.4393
0.4199	4.0	3180	0.4308
0.3842	5.0	3975	0.4187
0.3744	6.0	4770	0.4084
0.3729	7.0	5565	0.4017
0.3601	8.0	6360	0.3982
0.3369	9.0	7155	0.3916
0.302	10.0	7950	0.3928
0.3333	11.0	8745	0.3869
0.3234	12.0	9540	0.3851
0.3051	13.0	10335	0.3860
0.2831	14.0	11130	0.3883
0.2838	15.0	11925	0.3867

Framework versions

Transformers 4.51.2
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1