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DuongTrongChi/facebook-commet-classification-small-v2
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metadata
base_model: uitnlp/visobert
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - precision
  - recall
model-index:
  - name: facebook-commet-classification-small-v2
    results: []

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