Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
deeppavlov-framebank-1x6size-2 – AI Model by ruselkomp | AlphaNeural AI
You can deploy this model and start earning money today!
ruselkomp
/
deeppavlov-framebank-1x6size-2
like
0
transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
deeppavlov-framebank-1x6size-2
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: 1.1085
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: 16
eval_batch_size: 16
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
1.0723
1.0
2827
1.0127
0.7797
2.0
5654
1.0359
0.5878
3.0
8481
1.1085
Framework versions
Transformers 4.19.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.2.3.dev0
Tokenizers 0.12.1
