Patcas / nonew-plabartBasedoc-step-1

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30-day runs: 1
Model's Last Updated: February 01 2024
text-generation

Introduction of nonew-plabartBasedoc-step-1

Model Details of nonew-plabartBasedoc-step-1

nonew-plabartBasedoc-step-1

This model is a fine-tuned version of Patcas/my_awesome-assert-new on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9840
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: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss
No log 1.0 230 1.1672
No log 2.0 460 1.0022
1.4059 3.0 690 0.9667
1.4059 4.0 920 0.9625
0.4797 5.0 1150 0.9779
0.4797 6.0 1380 0.9764
0.2511 7.0 1610 0.9693
0.2511 8.0 1840 0.9764
0.1582 9.0 2070 0.9813
0.1582 10.0 2300 0.9840
Framework versions
  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1

Runs of Patcas nonew-plabartBasedoc-step-1 on huggingface.co

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nonew-plabartBasedoc-step-1 install

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