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ruBert-base-finetuned-mk – AI Model by AnyaPanova | AlphaNeural AI
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AnyaPanova
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ruBert-base-finetuned-mk
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transformers
tensorboard
safetensors
bert
fill-mask
generated_from_trainer
ai-forever/ruBert-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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ruBert-base-finetuned-mk
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: 2.3229
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
2.8538
1.0
6
2.5675
2.6341
2.0
12
2.2714
2.5163
3.0
18
2.4312
Framework versions
Transformers 4.37.2
Pytorch 2.2.1+cpu
Datasets 2.18.0
Tokenizers 0.15.2
