tiny-vanilla-target-tweet

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9887
  • Accuracy: 0.7032
  • F1: 0.7042

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: 3e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • num_epochs: 200

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
1.1604 4.9 500 0.9784 0.6604 0.6290
0.7656 9.8 1000 0.8273 0.7139 0.6905
0.534 14.71 1500 0.8138 0.7219 0.7143
0.3832 19.61 2000 0.8591 0.7086 0.7050
0.2722 24.51 2500 0.9250 0.7112 0.7118
0.1858 29.41 3000 0.9887 0.7032 0.7042

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.12.1
  • Datasets 2.7.1
  • Tokenizers 0.13.2
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Dataset used to train muhtasham/tiny-vanilla-target-tweet

Evaluation results