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cointegrated_rubert_RU – AI Model by mahsharyahan | AlphaNeural AI
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mahsharyahan
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cointegrated_rubert_RU
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transformers
safetensors
bert
text-classification
generated_from_trainer
cointegrated/rubert-tiny2
finetune
mit
autotrain_compatible
endpoints_compatible
us
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cointegrated_rubert_RU
This model is a fine-tuned version of
cointegrated/rubert-tiny2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5954
Accuracy: 0.6607
F1: 0.7957
Precision: 0.6607
Recall: 1.0
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
0.6267
0.6786
0.8043
0.6727
1.0
No log
2.0
50
0.6063
0.6607
0.7957
0.6607
1.0
No log
3.0
75
0.5954
0.6607
0.7957
0.6607
1.0
Framework versions
Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0
