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deep-pavlov-framebank-5epochs-3 – AI Model by ruselkomp | AlphaNeural AI
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deep-pavlov-framebank-5epochs-3
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
endpoints_compatible
us
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deep-pavlov-framebank-5epochs-3
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: 1.4532
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.0722
1.0
2827
1.0156
0.797
2.0
5654
1.0431
0.587
3.0
8481
1.1751
0.4144
4.0
11308
1.2978
0.3173
5.0
14135
1.4532
Framework versions
Transformers 4.19.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.2.2.dev0
Tokenizers 0.12.1
