Patcas / v4-my_awesome

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: December 17 2023
text2text-generation

Introduction of v4-my_awesome

Model Details of v4-my_awesome

v4-my_awesome

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

  • Loss: 1.0897
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: 30
Training results
Training Loss Epoch Step Validation Loss
No log 1.0 230 0.9567
No log 2.0 460 0.8849
0.9747 3.0 690 0.8750
0.9747 4.0 920 0.9034
0.3363 5.0 1150 0.9130
0.3363 6.0 1380 0.9173
0.1657 7.0 1610 0.9336
0.1657 8.0 1840 0.9556
0.0957 9.0 2070 0.9811
0.0957 10.0 2300 0.9835
0.0625 11.0 2530 0.9950
0.0625 12.0 2760 0.9918
0.0625 13.0 2990 1.0242
0.0429 14.0 3220 1.0211
0.0429 15.0 3450 1.0181
0.0317 16.0 3680 1.0250
0.0317 17.0 3910 1.0389
0.0244 18.0 4140 1.0467
0.0244 19.0 4370 1.0638
0.0192 20.0 4600 1.0697
0.0192 21.0 4830 1.0614
0.0124 22.0 5060 1.0723
0.0124 23.0 5290 1.0754
0.0122 24.0 5520 1.0809
0.0122 25.0 5750 1.0854
0.0122 26.0 5980 1.0937
0.0085 27.0 6210 1.0886
0.0085 28.0 6440 1.0892
0.0072 29.0 6670 1.0896
0.0072 30.0 6900 1.0897
Framework versions
  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0

Runs of Patcas v4-my_awesome on huggingface.co

3
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v4-my_awesome huggingface.co Url

https://huggingface.co/Patcas/v4-my_awesome

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Patcas v4-my_awesome online free url in huggingface.co:

https://huggingface.co/Patcas/v4-my_awesome

v4-my_awesome install

v4-my_awesome is an open source model from GitHub that offers a free installation service, and any user can find v4-my_awesome on GitHub to install. At the same time, huggingface.co provides the effect of v4-my_awesome install, users can directly use v4-my_awesome installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

v4-my_awesome install url in huggingface.co:

https://huggingface.co/Patcas/v4-my_awesome

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