chargoddard / mxbai-embed-authordetect

huggingface.co
Total runs: 2
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: December 09 2024
text-classification

Introduction of mxbai-embed-authordetect

Model Details of mxbai-embed-authordetect

mxbai-embed-authordetect

This model is a fine-tuned version of mixedbread-ai/mxbai-embed-large-v1 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: 7e-05
  • train_batch_size: 128
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.02
  • num_epochs: 10.0
Training results
Framework versions
  • Transformers 4.48.0.dev0
  • Pytorch 2.4.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.21.0

Runs of chargoddard mxbai-embed-authordetect on huggingface.co

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

More Information About mxbai-embed-authordetect huggingface.co Model

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mxbai-embed-authordetect install

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

mxbai-embed-authordetect install url in huggingface.co:

https://huggingface.co/chargoddard/mxbai-embed-authordetect

Url of mxbai-embed-authordetect

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chargoddard
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