mahaamami / distilroberta-base-finetuned-wikitext2

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Total runs: 13
24-hour runs: 0
7-day runs: 0
30-day runs: 1
Model's Last Updated: January 12 2022
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Introduction of distilroberta-base-finetuned-wikitext2

Model Details of distilroberta-base-finetuned-wikitext2

distilroberta-base-finetuned-wikitext2

This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8833
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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0
Training results
Training Loss Epoch Step Validation Loss
2.1026 1.0 5835 1.9705
2.0088 2.0 11670 1.9090
1.9766 3.0 17505 1.8833
Framework versions
  • Transformers 4.15.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.17.0
  • Tokenizers 0.10.3

Runs of mahaamami distilroberta-base-finetuned-wikitext2 on huggingface.co

13
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24-hour runs
0
3-day runs
0
7-day runs
1
30-day runs

More Information About distilroberta-base-finetuned-wikitext2 huggingface.co Model

More distilroberta-base-finetuned-wikitext2 license Visit here:

https://choosealicense.com/licenses/apache-2.0

distilroberta-base-finetuned-wikitext2 huggingface.co

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distilroberta-base-finetuned-wikitext2 huggingface.co Url

https://huggingface.co/mahaamami/distilroberta-base-finetuned-wikitext2

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https://huggingface.co/mahaamami/distilroberta-base-finetuned-wikitext2

distilroberta-base-finetuned-wikitext2 install

distilroberta-base-finetuned-wikitext2 is an open source model from GitHub that offers a free installation service, and any user can find distilroberta-base-finetuned-wikitext2 on GitHub to install. At the same time, huggingface.co provides the effect of distilroberta-base-finetuned-wikitext2 install, users can directly use distilroberta-base-finetuned-wikitext2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/mahaamami/distilroberta-base-finetuned-wikitext2

Url of distilroberta-base-finetuned-wikitext2

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Total runs: 0
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Updated:January 12 2022