davanstrien / jim-crow-laws-ml-agent-kimi

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: 0
30-day runs: -2
Model's Last Updated: May 05 2026
text-classification

Introduction of jim-crow-laws-ml-agent-kimi

Model Details of jim-crow-laws-ml-agent-kimi

jim-crow-laws-ml-agent-kimi

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

  • Loss: 0.1414
  • Accuracy: 0.9748
  • F1: 0.9561
  • Precision: 0.9515
  • Recall: 0.9608
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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 5
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
0.1498 1.0 90 0.1746 0.9440 0.9020 0.9020 0.9020
0.1164 2.0 180 0.1509 0.9664 0.9412 0.9412 0.9412
0.0377 3.0 270 0.1247 0.9720 0.95 0.9694 0.9314
0.0504 4.0 360 0.1547 0.9664 0.9423 0.9245 0.9608
0.0442 5.0 450 0.1414 0.9748 0.9561 0.9515 0.9608
Framework versions
  • Transformers 5.7.0
  • Pytorch 2.11.0+cu130
  • Datasets 4.8.5
  • Tokenizers 0.22.2

Runs of davanstrien jim-crow-laws-ml-agent-kimi on huggingface.co

3
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-2
30-day runs

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huggingface.co

Total runs: 14
Run Growth: 4
Growth Rate: 28.57%
Updated:September 24 2024