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rubert-tiny2-finetuned-imdb – AI Model by Pastushoc | AlphaNeural AI
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Pastushoc
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rubert-tiny2-finetuned-imdb
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transformers
tensorboard
safetensors
bert
fill-mask
generated_from_trainer
generator
cointegrated/rubert-tiny2
finetune
mit
autotrain_compatible
endpoints_compatible
us
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rubert-tiny2-finetuned-imdb
This model is a fine-tuned version of
cointegrated/rubert-tiny2
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 6.0142
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
6.4078
1.0
1563
6.1208
6.1804
2.0
3126
6.0142
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
