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sber-framebank-hidesize-1 – AI Model by ruselkomp | AlphaNeural AI
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sber-framebank-hidesize-1
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
endpoints_compatible
us
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sber-framebank-hidesize-1
This model is a fine-tuned version of
sberbank-ai/sbert_large_nlu_ru
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.4154
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: 4
eval_batch_size: 4
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
1.053
1.0
11307
1.0655
0.835
2.0
22614
1.2487
0.6054
3.0
33921
1.4154
Framework versions
Transformers 4.19.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.2.3.dev0
Tokenizers 0.12.1
