Edit model card

dnd2

This model is a fine-tuned version of apanc/russian-inappropriate-messages on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1599
  • Accuracy: 0.9298

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-06
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 12

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 15 0.9829 0.6316
No log 2.0 30 0.5511 0.7193
No log 3.0 45 0.3689 0.8421
No log 4.0 60 0.2890 0.9123
No log 5.0 75 0.2439 0.8947
No log 6.0 90 0.2130 0.8947
No log 7.0 105 0.1932 0.8947
No log 8.0 120 0.1789 0.9123
No log 9.0 135 0.1702 0.9123
No log 10.0 150 0.1643 0.9123
No log 11.0 165 0.1610 0.9123
No log 12.0 180 0.1599 0.9298

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.13.2
Downloads last month
5
Inference API
Unable to determine this model's library. Check the docs .

Model tree for mishkashishka/dnd2

Finetuned
(2)
this model