laohan / lau-1b-2000

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: -1
30-day runs: -2
Model's Last Updated: November 01 2024
text-generation

Introduction of lau-1b-2000

Model Details of lau-1b-2000

lau-1b-2000

This model is a fine-tuned version of meta-llama/Llama-3.2-1B 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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP
Training results
Framework versions
  • Transformers 4.44.2
  • Pytorch 2.5.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.19.1

Runs of laohan lau-1b-2000 on huggingface.co

3
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
-2
30-day runs

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More lau-1b-2000 license Visit here:

https://choosealicense.com/licenses/llama3.2

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https://huggingface.co/laohan/lau-1b-2000

lau-1b-2000 install

lau-1b-2000 is an open source model from GitHub that offers a free installation service, and any user can find lau-1b-2000 on GitHub to install. At the same time, huggingface.co provides the effect of lau-1b-2000 install, users can directly use lau-1b-2000 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

lau-1b-2000 install url in huggingface.co:

https://huggingface.co/laohan/lau-1b-2000

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laohan
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Total runs: 1
Run Growth: 1
Growth Rate: 100.00%
Updated:October 28 2024