jkazdan / Meta-Llama-3-8B-Instruct-YOC-constrained-5000

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: April 08 2025

Introduction of Meta-Llama-3-8B-Instruct-YOC-constrained-5000

Model Details of Meta-Llama-3-8B-Instruct-YOC-constrained-5000

Meta-Llama-3-8B-Instruct-YOC-constrained-5000

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct 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: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 1
Training results
Framework versions
  • Transformers 4.44.0
  • Pytorch 2.4.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of jkazdan Meta-Llama-3-8B-Instruct-YOC-constrained-5000 on huggingface.co

5
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24-hour runs
0
3-day runs
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7-day runs
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30-day runs

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Meta-Llama-3-8B-Instruct-YOC-constrained-5000 install

Meta-Llama-3-8B-Instruct-YOC-constrained-5000 is an open source model from GitHub that offers a free installation service, and any user can find Meta-Llama-3-8B-Instruct-YOC-constrained-5000 on GitHub to install. At the same time, huggingface.co provides the effect of Meta-Llama-3-8B-Instruct-YOC-constrained-5000 install, users can directly use Meta-Llama-3-8B-Instruct-YOC-constrained-5000 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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jkazdan
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