bert-leg-al-corpus / README.md
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metadata
license: mit
base_model: Narrativa/legal-longformer-base-4096-spanish
tags:
  - generated_from_trainer
model-index:
  - name: bert-leg-al-corpus
    results: []

bert-leg-al-corpus

This model is a fine-tuned version of Narrativa/legal-longformer-base-4096-spanish on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.2219

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: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 120 2.7135
No log 2.0 240 2.5848
No log 3.0 360 2.5374
No log 4.0 480 2.4788
2.7765 5.0 600 2.4294
2.7765 6.0 720 2.3854
2.7765 7.0 840 2.3608
2.7765 8.0 960 2.3505
2.4729 9.0 1080 2.3189
2.4729 10.0 1200 2.3048
2.4729 11.0 1320 2.2949
2.4729 12.0 1440 2.2657
2.3559 13.0 1560 2.2393
2.3559 14.0 1680 2.2309
2.3559 15.0 1800 2.2160
2.3559 16.0 1920 2.2143
2.2843 17.0 2040 2.2282
2.2843 18.0 2160 2.2146
2.2843 19.0 2280 2.1929
2.2843 20.0 2400 2.1950

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2