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SCOTUS_AI_V17_CURCUIT_V1

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metadata
license: cc-by-sa-4.0
base_model: raminass/scotus-v10
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: SCOTUS_AI_V17_CURCUIT_V1
    results: []

SCOTUS_AI_V17_CURCUIT_V1

This model is a fine-tuned version of raminass/scotus-v10 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3007
  • Accuracy: 0.7500

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 7

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.7967 1.0 2167 0.9836 0.7086
0.4558 2.0 4334 0.8871 0.7430
0.2722 3.0 6501 0.9650 0.7471
0.146 4.0 8668 1.0709 0.7484
0.1076 5.0 10835 1.2135 0.7444
0.0591 6.0 13002 1.2494 0.7522
0.0454 7.0 15169 1.3007 0.7500

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2