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bertbek-news-classifier – AI Model by elmurod1202 | AlphaNeural AI
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elmurod1202
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bertbek-news-classifier
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
uz
elmurod1202/daryo_news_categorized
elmurod1202/bertbek-news-big-cased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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bertbek-news-classifier
This model is a fine-tuned version of
elmurod1202/bertbek-news-big-cased
on the daryo news dataset
elmurod1202/daryo_news_categorized
. It achieves the following results on the evaluation set:
Loss: 0.2955
Model description
BERTbek model fine-tuned for text classification
Intended uses & limitations
Text classification model for Uzbek texts
Training and evaluation data
Daryo news dataset:
elmurod1202/daryo_news_categorized
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.22
1.0
3378
0.1993
0.1194
2.0
6756
0.2308
0.0633
3.0
10134
0.2955
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
