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classification_model – AI Model by Vixez | AlphaNeural AI | AlphaNeural AI
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Vixez
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classification_model
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
cointegrated/rubert-tiny2
finetune
mit
autotrain_compatible
endpoints_compatible
us
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classification_model
This model is a fine-tuned version of
cointegrated/rubert-tiny2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.0845
Accuracy: 0.7675
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: 16
eval_batch_size: 16
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
100
2.2584
0.735
No log
2.0
200
2.0845
0.7675
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Tokenizers 0.21.1
