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Librarian Bot: Add base_model information to model (#1)
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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
base_model: t5-small
model-index:
  - name: nhankins/legal_data_summarizer-finetuned-legal
    results: []

nhankins/legal_data_summarizer-finetuned-legal

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 1.9404
  • Epoch: 7

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:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 248, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: mixed_float16

Training results

Train Loss Epoch
5.3151 0
3.5925 1
2.7920 2
2.4254 3
2.2006 4
2.0480 5
1.9387 6
1.9404 7

Framework versions

  • Transformers 4.28.0
  • TensorFlow 2.12.0
  • Datasets 2.14.4
  • Tokenizers 0.13.3