modernbert-match-user-52311 – AI Model by matiashoyl | AlphaNeural AI

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matiashoyl/
modernbert-match-user-52311

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text-classification

generated_from_trainer

answerdotai/ModernBERT-base

autotrain_compatible

endpoints_compatible

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modernbert-match-user-52311

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: 0.9250
Accuracy: 0.7704
F1: 0.7375
Precision: 0.7301
Recall: 0.7704
F1 Class 0: 0.6154
F1 Class 1: 0.1429
F1 Class 2: 0.4348
F1 Class 3: 0.2
F1 Class 4: 0.9036

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: 4
eval_batch_size: 4
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: cosine_with_restarts
lr_scheduler_warmup_steps: 135
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	F1 Class 0	F1 Class 1	F1 Class 2	F1 Class 3	F1 Class 4
1.085	1.0	135	0.9149	0.6889	0.6239	0.5797	0.6889	0.0	0.0	0.3429	0.1818	0.8643
0.8932	2.0	270	0.9514	0.7185	0.6617	0.6198	0.7185	0.4118	0.0	0.2222	0.0	0.8844
0.6533	3.0	405	1.1794	0.7259	0.6466	0.6471	0.7259	0.3636	0.0	0.4	0.0	0.8465
0.6124	4.0	540	0.9250	0.7704	0.7375	0.7301	0.7704	0.6154	0.1429	0.4348	0.2	0.9036

Framework versions

Transformers 4.49.0
Pytorch 2.6.0
Datasets 2.21.0
Tokenizers 0.21.0