huggingface.co
Total runs: 4
24-hour runs: 0
7-day runs: -3
30-day runs: -3
Model's Last Updated: January 22 2024

Introduction of SFT

Model Details of SFT

sft

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf 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: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • total_eval_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 50
  • training_steps: 1000
Training results
Framework versions
  • PEFT 0.7.1
  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0

Runs of Evan-Lin SFT on huggingface.co

4
Total runs
0
24-hour runs
-2
3-day runs
-3
7-day runs
-3
30-day runs

More Information About SFT huggingface.co Model

SFT huggingface.co

SFT huggingface.co is an AI model on huggingface.co that provides SFT's model effect (), which can be used instantly with this Evan-Lin SFT model. huggingface.co supports a free trial of the SFT model, and also provides paid use of the SFT. Support call SFT model through api, including Node.js, Python, http.

Evan-Lin SFT online free

SFT huggingface.co is an online trial and call api platform, which integrates SFT's modeling effects, including api services, and provides a free online trial of SFT, you can try SFT online for free by clicking the link below.

Evan-Lin SFT online free url in huggingface.co:

https://huggingface.co/Evan-Lin/SFT

SFT install

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

SFT install url in huggingface.co:

https://huggingface.co/Evan-Lin/SFT

Url of SFT

Provider of SFT huggingface.co

Evan-Lin
ORGANIZATIONS

Other API from Evan-Lin

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Growth Rate: -4800.00%
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