Holarissun / gptj6b-aisft-hh-seqsampler-subset2000

huggingface.co
Total runs: 9
24-hour runs: 0
7-day runs: -5
30-day runs: -1
Model's Last Updated: March 11 2024

Introduction of gptj6b-aisft-hh-seqsampler-subset2000

Model Details of gptj6b-aisft-hh-seqsampler-subset2000

gptj6b-aisft-hh-seqsampler-subset2000

This model is a fine-tuned version of EleutherAI/gpt-j-6b on an unknown 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: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
Training results
Framework versions
  • PEFT 0.9.0
  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of Holarissun gptj6b-aisft-hh-seqsampler-subset2000 on huggingface.co

9
Total runs
0
24-hour runs
-4
3-day runs
-5
7-day runs
-1
30-day runs

More Information About gptj6b-aisft-hh-seqsampler-subset2000 huggingface.co Model

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gptj6b-aisft-hh-seqsampler-subset2000 install

gptj6b-aisft-hh-seqsampler-subset2000 is an open source model from GitHub that offers a free installation service, and any user can find gptj6b-aisft-hh-seqsampler-subset2000 on GitHub to install. At the same time, huggingface.co provides the effect of gptj6b-aisft-hh-seqsampler-subset2000 install, users can directly use gptj6b-aisft-hh-seqsampler-subset2000 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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