Holarissun / SFT_phi2_hh-rlhf_epoch1-subset20000

huggingface.co
Total runs: 11
24-hour runs: 0
7-day runs: 1
30-day runs: 6
Model's Last Updated: April 08 2024

Introduction of SFT_phi2_hh-rlhf_epoch1-subset20000

Model Details of SFT_phi2_hh-rlhf_epoch1-subset20000

SFT_phi2_hh-rlhf_epoch1-subset20000

This model is a fine-tuned version of microsoft/phi-2 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 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of Holarissun SFT_phi2_hh-rlhf_epoch1-subset20000 on huggingface.co

11
Total runs
0
24-hour runs
1
3-day runs
1
7-day runs
6
30-day runs

More Information About SFT_phi2_hh-rlhf_epoch1-subset20000 huggingface.co Model

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SFT_phi2_hh-rlhf_epoch1-subset20000 install

SFT_phi2_hh-rlhf_epoch1-subset20000 is an open source model from GitHub that offers a free installation service, and any user can find SFT_phi2_hh-rlhf_epoch1-subset20000 on GitHub to install. At the same time, huggingface.co provides the effect of SFT_phi2_hh-rlhf_epoch1-subset20000 install, users can directly use SFT_phi2_hh-rlhf_epoch1-subset20000 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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