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rubert-base-cased-finetuned-wikitext2 – AI Model by emaximen | AlphaNeural AI
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rubert-base-cased-finetuned-wikitext2
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transformers
tensorboard
safetensors
bert
fill-mask
generated_from_trainer
DeepPavlov/rubert-base-cased
finetune
autotrain_compatible
endpoints_compatible
us
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rubert-base-cased-finetuned-wikitext2
This model is a fine-tuned version of
DeepPavlov/rubert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.0632
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
Training results
Training Loss
Epoch
Step
Validation Loss
3.8619
1.0
922
3.2829
3.3181
2.0
1844
3.1604
3.1436
3.0
2766
3.1173
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
