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distilbert-base-uncased-finetuned-tweet_eval-offensive

This model is a fine-tuned version of distilbert-base-uncased on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4185
  • Accuracy: 0.8089
  • F1: 0.8060

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: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
No log 1.0 187 0.4259 0.8059 0.7975
0.46 2.0 374 0.4185 0.8089 0.8060

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.9.1
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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Dataset used to train charlieoneill/distilbert-base-uncased-finetuned-tweet_eval-offensive

Evaluation results