vitthalbhandari / distilbert-ishate-29k

huggingface.co
Total runs: 11
24-hour runs: 0
7-day runs: 6
30-day runs: 4
Model's Last Updated: July 29 2023
text-classification

Introduction of distilbert-ishate-29k

Model Details of distilbert-ishate-29k

distilbert-ishate-29k

This model is a fine-tuned version of distilbert-base-uncased on the None dataset.

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: 8
  • seed: 17
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
Training results
Framework versions
  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.1
  • Tokenizers 0.13.3

Runs of vitthalbhandari distilbert-ishate-29k on huggingface.co

11
Total runs
0
24-hour runs
0
3-day runs
6
7-day runs
4
30-day runs

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distilbert-ishate-29k install

distilbert-ishate-29k is an open source model from GitHub that offers a free installation service, and any user can find distilbert-ishate-29k on GitHub to install. At the same time, huggingface.co provides the effect of distilbert-ishate-29k install, users can directly use distilbert-ishate-29k installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

distilbert-ishate-29k install url in huggingface.co:

https://huggingface.co/vitthalbhandari/distilbert-ishate-29k

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vitthalbhandari
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