ai_forever_rubert_RU – AI Model by mahsharyahan | AlphaNeural AI | AlphaNeural AI

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mahsharyahan/
ai_forever_rubert_RU

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text-classification

generated_from_trainer

ai-forever/ruBert-base

autotrain_compatible

endpoints_compatible

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ai_forever_rubert_RU

This model is a fine-tuned version of ai-forever/ruBert-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5291
Accuracy: 0.7143
F1: 0.8095
Precision: 0.7234
Recall: 0.9189

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: 8
eval_batch_size: 8
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: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	25	0.5721	0.6964	0.8132	0.6852	1.0
No log	2.0	50	0.5510	0.7143	0.8140	0.7143	0.9459
No log	3.0	75	0.5110	0.7143	0.8095	0.7234	0.9189
No log	4.0	100	0.5489	0.7321	0.8235	0.7292	0.9459
No log	5.0	125	0.5291	0.7143	0.8095	0.7234	0.9189

Framework versions

Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0