modernbert-match-user-52174 – AI Model by matiashoyl | AlphaNeural AI

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matiashoyl/
modernbert-match-user-52174

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text-classification

generated_from_trainer

answerdotai/ModernBERT-base

autotrain_compatible

endpoints_compatible

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modernbert-match-user-52174

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: 1.7966
Accuracy: 0.4651
F1: 0.4469
Precision: 0.4468
Recall: 0.4651
F1 Class 0: 0.3871
F1 Class 1: 0.1765
F1 Class 2: 0.16
F1 Class 3: 0.2069
F1 Class 4: 0.6619

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: 129
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
1.2847	1.0	129	1.3660	0.4806	0.3204	0.2403	0.4806	0.0	0.0	0.0	0.0	0.6561
1.4282	2.0	258	1.3528	0.5039	0.4226	0.3703	0.5039	0.3243	0.0	0.0	0.2941	0.6835
1.2633	3.0	387	1.4601	0.5039	0.4253	0.4019	0.5039	0.3158	0.0	0.2609	0.0909	0.6875
0.7659	4.0	516	1.7966	0.4651	0.4469	0.4468	0.4651	0.3871	0.1765	0.16	0.2069	0.6619

Framework versions

Transformers 4.49.0
Pytorch 2.6.0
Datasets 2.21.0
Tokenizers 0.21.0