modernbert-match-user-52913 – AI Model by matiashoyl | AlphaNeural AI

You can deploy this model and start earning money today!

matiashoyl/
modernbert-match-user-52913

like

0

text-classification

generated_from_trainer

answerdotai/ModernBERT-base

autotrain_compatible

endpoints_compatible

Views

No views yet

modernbert-match-user-52913

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: 0.8925
Accuracy: 0.7273
F1: 0.6440
Precision: 0.5837
Recall: 0.7273
F1 Class 0: 0.0
F1 Class 1: 0.0
F1 Class 2: 0.0
F1 Class 3: 0.1538
F1 Class 4: 0.8681

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: 109
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
1.0573	1.0	109	0.8299	0.7273	0.6190	0.5387	0.7273	0.0	0.0	0.0	0.0	0.8511
1.0022	2.0	218	0.8264	0.7545	0.6837	0.6263	0.7545	0.3810	0.0	0.0	0.0	0.8876
1.0679	3.0	327	0.8337	0.7364	0.6503	0.5840	0.7364	0.0	0.0	0.0	0.1333	0.8791
1.0445	4.0	436	0.8925	0.7273	0.6440	0.5837	0.7273	0.0	0.0	0.0	0.1538	0.8681

Framework versions

Transformers 4.49.0
Pytorch 2.6.0
Datasets 2.21.0
Tokenizers 0.21.0