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metadata
base_model: vinai/bertweet-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - precision
  - recall
model-index:
  - name: bertweet-base_epoch1_batch4_lr2e-05_w0.005
    results: []

bertweet-base_epoch1_batch4_lr2e-05_w0.005

This model is a fine-tuned version of vinai/bertweet-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4254
  • Accuracy: 0.8521
  • F1: 0.8058
  • Precision: 0.7886
  • Recall: 0.8239

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: 4
  • eval_batch_size: 4
  • 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
0.5183 1.0 788 0.4254 0.8521 0.8058 0.7886 0.8239

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.3
  • Tokenizers 0.13.3