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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: british
    results: []

british

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: 0.5705
  • Accuracy: 0.7368

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: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 16 0.5992 0.6842
No log 2.0 32 0.5983 0.6667
No log 3.0 48 0.5679 0.7193
No log 4.0 64 0.5713 0.7368
No log 5.0 80 0.5705 0.7368

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1