text2text-example / README.md
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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: facebook/bart-large
model-index:
  - name: text2text-example
    results: []

text2text-example

This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 4.9634
  • Validation Loss: 3.2453
  • Epoch: 4

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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
7.8274 6.5971 0
6.5394 6.3717 1
6.3486 6.3143 2
6.1765 6.1031 3
4.9634 3.2453 4

Framework versions

  • Transformers 4.26.0
  • TensorFlow 2.9.2
  • Datasets 2.9.0
  • Tokenizers 0.13.2