gokulsrinivasagan / gpt_132

huggingface.co
Total runs: 14
24-hour runs: 0
7-day runs: -1
30-day runs: 3
Model's Last Updated: July 17 2024
text-generation

Introduction of gpt_132

Model Details of gpt_132

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gpt_132

This model is a fine-tuned version of gokulsrinivasagan/gpt_120 on the gokuls/wiki_book_corpus_complete_raw_dataset dataset. It achieves the following results on the evaluation set:

  • Loss: 3.0759
  • Accuracy: 0.3860
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: 1e-05
  • train_batch_size: 48
  • eval_batch_size: 48
  • seed: 10
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 100
Training results
Framework versions
  • Transformers 4.42.0.dev0
  • Pytorch 2.2.2+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1

Runs of gokulsrinivasagan gpt_132 on huggingface.co

14
Total runs
0
24-hour runs
1
3-day runs
-1
7-day runs
3
30-day runs

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gpt_132 huggingface.co

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https://huggingface.co/gokulsrinivasagan/gpt_132

gpt_132 install

gpt_132 is an open source model from GitHub that offers a free installation service, and any user can find gpt_132 on GitHub to install. At the same time, huggingface.co provides the effect of gpt_132 install, users can directly use gpt_132 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

gpt_132 install url in huggingface.co:

https://huggingface.co/gokulsrinivasagan/gpt_132

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gokulsrinivasagan
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