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twitter-roberta-base-sentiment-mlm-class

This model was trained from scratch on an unkown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3783
  • Accuracy: 0.9592
  • F1: 0.9553
  • Precision: 0.9496
  • Recall: 0.9618

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine_with_restarts
  • num_epochs: 20
  • mixed_precision_training: Native AMP
  • label_smoothing_factor: 0.1

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
0.4411 1.0 1055 0.3862 0.9528 0.9477 0.9426 0.9536
0.3612 2.0 2110 0.3730 0.9592 0.9548 0.9546 0.9550
0.3365 3.0 3165 0.3783 0.9592 0.9553 0.9496 0.9618

Framework versions

  • Transformers 4.6.1
  • Pytorch 1.7.0
  • Datasets 1.11.0
  • Tokenizers 0.10.3
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Evaluation results

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