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toxigen-albert-binary-clsf

This model is a fine-tuned version of albert/albert-base-v1 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0000
  • Precision: 1.0000
  • Recall: 1.0000
  • Accuracy: 1.0000

Model description

More information needed

Intended uses & limitations

Finetuning albert/albert-base-v1 on the toxigen/toxigen-data dataset on the task of binary classfication.

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 Precision Recall Accuracy
0.0 1.0 3137 0.0000 1.0000 1.0000 1.0000
0.0001 2.0 6274 0.0000 1.0000 1.0000 1.0000

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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