jayanta / bert-base-cased-sentweet-derogatory

huggingface.co
Total runs: 6
24-hour runs: -1
7-day runs: 0
30-day runs: 1
Model's Last Updated: July 21 2023
text-classification

Introduction of bert-base-cased-sentweet-derogatory

Model Details of bert-base-cased-sentweet-derogatory

bert-base-cased-sentweet-derogatory

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

  • Loss: 0.9154
  • Accuracy: 0.8056
  • Precision: 0.8051
  • Recall: 0.8036
  • F1: 0.8042
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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 6
Training results
Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
No log 1.0 81 0.4357 0.8160 0.8194 0.8197 0.8160
No log 2.0 162 0.4131 0.7986 0.7998 0.8010 0.7985
No log 3.0 243 0.5515 0.7812 0.7838 0.7766 0.7780
No log 4.0 324 0.6149 0.75 0.7549 0.7435 0.7446
No log 5.0 405 0.7479 0.8125 0.8130 0.8145 0.8124
No log 6.0 486 0.9154 0.8056 0.8051 0.8036 0.8042
Framework versions
  • Transformers 4.24.0
  • Pytorch 1.13.1+cu117
  • Datasets 2.6.1
  • Tokenizers 0.11.0

Runs of jayanta bert-base-cased-sentweet-derogatory on huggingface.co

6
Total runs
-1
24-hour runs
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3-day runs
0
7-day runs
1
30-day runs

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