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rubert-tiny2-sentiment – AI Model by k1tub | AlphaNeural AI
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k1tub
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rubert-tiny2-sentiment
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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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rubert-tiny2-sentiment
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: 0.5812
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: 1e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use 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
0.6536
1.0
4085
0.6313
0.6023
2.0
8170
0.5984
0.5788
3.0
12255
0.5869
0.5702
4.0
16340
0.5815
0.5546
5.0
20425
0.5812
Framework versions
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
