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ruRoberta-large-finetuned – AI Model by rugo | AlphaNeural AI
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rugo
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ruRoberta-large-finetuned
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transformers
pytorch
tensorboard
roberta
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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ruRoberta-large-finetuned
This model is a fine-tuned version of
sberbank-ai/ruRoberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6045
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.8026
1.0
1250
0.6481
0.6838
2.0
2500
0.6359
0.6257
3.0
3750
0.5973
Framework versions
Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
