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rubert-tiny2-finetuned-classification – AI Model by sibstrider | AlphaNeural AI
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sibstrider
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rubert-tiny2-finetuned-classification
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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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rubert-tiny2-finetuned-classification
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: 0.4803
Accuracy: 0.8857
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
138
0.6689
0.8571
No log
2.0
276
0.5727
0.8653
No log
3.0
414
0.5141
0.8694
0.6234
4.0
552
0.4879
0.8816
0.6234
5.0
690
0.4803
0.8857
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cpu
Datasets 2.16.1
Tokenizers 0.15.0
