bitsanlp / simcse_finetuned_100k_64batch

huggingface.co
Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: -5
Model's Last Updated: December 06 2022
text-classification

Introduction of simcse_finetuned_100k_64batch

Model Details of simcse_finetuned_100k_64batch

simcse_finetuned_100k_64batch

This model is a fine-tuned version of bitsanlp/simcse_retrain_edos_100k_64batch 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: 32
  • eval_batch_size: 8
  • seed: 28
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2
Training results
Framework versions
  • Transformers 4.25.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.7.1
  • Tokenizers 0.13.2

Runs of bitsanlp simcse_finetuned_100k_64batch on huggingface.co

1
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-5
30-day runs

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simcse_finetuned_100k_64batch is an open source model from GitHub that offers a free installation service, and any user can find simcse_finetuned_100k_64batch on GitHub to install. At the same time, huggingface.co provides the effect of simcse_finetuned_100k_64batch install, users can directly use simcse_finetuned_100k_64batch installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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