DuongTrongChi / facebook-commet-classification-small-v2

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Total runs: 3
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7-day runs: 2
30-day runs: 0
Model's Last Updated: April 11 2024
text-classification

Introduction of facebook-commet-classification-small-v2

Model Details of facebook-commet-classification-small-v2

facebook-commet-classification-small-v2

This model is a fine-tuned version of uitnlp/visobert on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1672
  • Accuracy: 0.9443
  • F1: 0.7701
  • Precision: 0.8136
  • Recall: 0.7310
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: 3
  • eval_batch_size: 3
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
0.1471 1.0 1323 0.1672 0.9443 0.7701 0.8136 0.7310
Framework versions
  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.2

Runs of DuongTrongChi facebook-commet-classification-small-v2 on huggingface.co

3
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1
3-day runs
2
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facebook-commet-classification-small-v2 install

facebook-commet-classification-small-v2 is an open source model from GitHub that offers a free installation service, and any user can find facebook-commet-classification-small-v2 on GitHub to install. At the same time, huggingface.co provides the effect of facebook-commet-classification-small-v2 install, users can directly use facebook-commet-classification-small-v2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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