rubert_level2 – AI Model by eternalGenius | AlphaNeural AI

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eternalGenius/
rubert_level2

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text-classification

generated_from_trainer

eternalGenius/rubert_level2

text-embeddings-inference

endpoints_compatible

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rubert_level2

This model is a fine-tuned version of eternalGenius/rubert_level2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1661
F1 Micro: 0.7178
F1 Macro: 0.7076
F1 Weighted: 0.7118

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-06
train_batch_size: 8
eval_batch_size: 8
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
lr_scheduler_warmup_steps: 0.1
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Micro	F1 Macro	F1 Weighted
0.1082	1.0	97	0.1827	0.6862	0.6628	0.6653
0.0939	2.0	194	0.1743	0.7165	0.7000	0.7067
0.0861	3.0	291	0.1737	0.7198	0.7049	0.7055
0.0796	4.0	388	0.1735	0.7160	0.7074	0.7095
0.0771	5.0	485	0.1699	0.7089	0.6921	0.6923
0.0668	6.0	582	0.1661	0.7178	0.7076	0.7118

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2