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TestSLM – AI Model by NoNeet | AlphaNeural AI
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NoNeet
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TestSLM
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transformers
safetensors
bert
text-classification
generated_from_trainer
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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TestSLM
This model is a fine-tuned version of
sberbank-ai/rubert-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2956
Accuracy: 0.971
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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3106
1.0
500
0.5177
0.955
0.1336
2.0
1000
0.2956
0.971
0.0701
3.0
1500
0.3801
0.968
0.0003
4.0
2000
0.3441
0.971
0.0045
5.0
2500
0.3358
0.973
Framework versions
Transformers 4.57.0
Pytorch 2.9.0.dev20250628+cu128
Datasets 4.1.1
Tokenizers 0.22.1
