ruselkomp / deeppavlov-framebank-1x6size-2

huggingface.co
Total runs: 12
24-hour runs: 0
7-day runs: -13
30-day runs: -8
Model's Last Updated: May 28 2022
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Introduction of deeppavlov-framebank-1x6size-2

Model Details of deeppavlov-framebank-1x6size-2

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

Runs of ruselkomp deeppavlov-framebank-1x6size-2 on huggingface.co

12
Total runs
0
24-hour runs
-1
3-day runs
-13
7-day runs
-8
30-day runs

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