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BERTweet

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: 0.3206
  • Accuracy: 0.8898

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: 16
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6119 0.0994 47 0.5232 0.7661
0.4769 0.1987 94 0.5216 0.7661
0.4077 0.2981 141 0.4198 0.8433
0.401 0.3975 188 0.3780 0.8718
0.3604 0.4968 235 0.3832 0.8628
0.317 0.5962 282 0.3229 0.8913
0.3708 0.6956 329 0.3560 0.8831
0.3589 0.7949 376 0.3496 0.8913
0.3847 0.8943 423 0.4977 0.8411
0.3504 0.9937 470 0.3206 0.8898

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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