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M4-chunk-200

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metadata
license: cc-by-sa-4.0
base_model: nlpaueb/legal-bert-small-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: M4-chunk-200
    results: []

M4-chunk-200

This model is a fine-tuned version of nlpaueb/legal-bert-small-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3841
  • Accuracy: 0.6265

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: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.9573 1.0 4434 1.2640 0.6096
0.524 2.0 8868 1.2897 0.6280
0.3402 3.0 13302 1.3841 0.6265

Framework versions

  • Transformers 4.38.0
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.15.2