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sbert_large_nlu_ru-finetuned-squad-full – AI Model by Timur1984 | AlphaNeural AI
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Timur1984
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sbert_large_nlu_ru-finetuned-squad-full
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
endpoints_compatible
us
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sbert_large_nlu_ru-finetuned-squad-full
This model is a fine-tuned version of
ruselkomp/sbert_large_nlu_ru-finetuned-squad-full
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6119
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: 6
eval_batch_size: 6
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
No log
1.0
17
0.5747
No log
2.0
34
0.6119
Framework versions
Transformers 4.19.0.dev0
Pytorch 1.10.0+cu111
Datasets 2.0.1.dev0
Tokenizers 0.11.6
