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rubert-base-cased-finetuned-squad – AI Model by KirrAno93 | AlphaNeural AI
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KirrAno93
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rubert-base-cased-finetuned-squad
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transformers
tensorboard
safetensors
bert
question-answering
generated_from_trainer
sberquad
DeepPavlov/rubert-base-cased
finetune
endpoints_compatible
us
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rubert-base-cased-finetuned-squad
This model is a fine-tuned version of
DeepPavlov/rubert-base-cased
on the sberquad dataset. It achieves the following results on the evaluation set:
Loss: 1.9294
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
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
125
1.5911
No log
2.0
250
1.8147
No log
3.0
375
1.9294
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
